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CrowdStrike Unveils Falcon Next-Gen Identity Security, the First Unified Solution to Protect Every Identity Across the Attack Chain
CrowdStrike Unveils Falcon Next-Gen Identity Security, the First Unified Solution to Protect Every Identity Across the Attack Chain

Globe and Mail

time5 days ago

  • Business
  • Globe and Mail

CrowdStrike Unveils Falcon Next-Gen Identity Security, the First Unified Solution to Protect Every Identity Across the Attack Chain

CrowdStrike (NASDAQ: CRWD) today announced CrowdStrike Falcon® Next-Gen Identity Security, the first unified solution to protect every identity – human, non-human, and AI agent – across the full hybrid identity lifecycle and every environment. Delivered today, without delays or integration complexity through the AI-native CrowdStrike Falcon® platform, the new offering protects identities across on-premises, cloud, SaaS, and workloads, removing security blind spots and replacing fragmented controls. CrowdStrike unifies initial access prevention, modern privileged access management (PAM), identity threat detection and response (ITDR), SaaS identity security, and agentic identity protection to stop identity-driven breaches across domains. 'Organizations need trusted identity security now, not months or years from now. CrowdStrike provides what customers need most in a unified platform: modern identity security by design, without architectural trade-offs and integration debt," said Mike Sentonas, president, CrowdStrike. "Access in today's enterprise is dynamic and unpredictable, with identities spanning users, machines, and AI agents operating across hybrid environments in real time. The Falcon platform was built to manage this complexity, providing the speed, scale, and precision organizations need to stop modern identity attacks.' Identity has become the primary path adversaries take to compromise an organization. Attackers increasingly exploit a broad spectrum of identities that span human users, service accounts (non-human identities), SaaS credentials, and now, autonomous AI agents. Each agent represents a superhuman identity with persistent access to systems, applications, and sensitive data. These non-human agent identities dramatically increase the size and severity of the attack surface: more identities across more environments, more privileges across more workflows, and more opportunity for adversaries to move faster than defenders can respond. Modern adversaries exploit this access to move seamlessly across domains – endpoint, identity, cloud, and SaaS – leaving organizations that rely on traditional IAM and legacy PAM tools exposed to cross-domain attacks. Falcon Next-Gen Identity Security closes the gaps that adversaries exploit with a unified solution that delivers continuous protection across identity types (human, non-human and AI agent), environments, and stages of the identity attack chain. From initial access to lateral movement, CrowdStrike protects human, non-human, and AI agents across hybrid environments, including on-prem, cloud, and SaaS. Powered by CrowdStrike's agentic AI, organizations gain autonomous threat analysis and response that helps them detect, investigate, and stop identity-based attacks in real time, through a single unified platform. Organizations can immediately strengthen their security posture without waiting for promised integrations, or accepting identity capabilities fragmented across multiple platforms that replicate the same complexity and security gaps as multi-vendor solutions. Delivered through a single lightweight sensor and managed from a single console, CrowdStrike gives defenders real-time visibility, dynamic access enforcement, and autonomous response across every identity and every domain. CrowdStrike's Unified Platform for Securing Every Identity Across Hybrid Environments Falcon Next-Gen Identity Security unifies four core capabilities to deliver end-to-end visibility, control, and protection of identities, privileges, and risk across the full attack chain in hybrid identity environments: Initial Access Prevention: Leverages real-time endpoint signals, industry-leading threat intelligence, and AI trained on trillions of events to authenticate trusted identities, dynamically blocking threats before adversaries can gain initial access. Modern Privileged Access Management (PAM): Enforces just-in-time access and eliminates standing privileges. Dynamically adjusts access based on real-time risk to secure sensitive systems across hybrid and multi-cloud environments. Identity Threat Detection and Response (ITDR): Detects and stops identity-based attacks in real time. Uses cross-domain telemetry and agentic AI to triage threats, enforce policy, and block lateral movement and privilege escalation. SaaS Identity Security: Identifies misconfigurations, flags risky behaviors, and governs overprovisioned access – for humans, non-human identities, and AI agents – across cloud-first applications. Delivered through the CrowdStrike Falcon platform, Falcon Next-Gen Identity Security replaces fragmented tools and disconnected workflows. Security teams gain real-time visibility, dynamic enforcement, and autonomous response across every identity and every domain. With rapid deployment and immediate time-to-value, organizations can strengthen their identity security posture today, without waiting for integrations or accepting security gaps. About CrowdStrike CrowdStrike (NASDAQ: CRWD), a global cybersecurity leader, has redefined modern security with the world's most advanced cloud-native platform for protecting critical areas of enterprise risk – endpoints and cloud workloads, identity and data. Powered by the CrowdStrike Security Cloud and world-class AI, the CrowdStrike Falcon® platform leverages real-time indicators of attack, threat intelligence, evolving adversary tradecraft and enriched telemetry from across the enterprise to deliver hyper-accurate detections, automated protection and remediation, elite threat hunting and prioritized observability of vulnerabilities. Purpose-built in the cloud with a single lightweight-agent architecture, the Falcon platform delivers rapid and scalable deployment, superior protection and performance, reduced complexity and immediate time-to-value. CrowdStrike: We stop breaches. © 2025 CrowdStrike, Inc. All rights reserved. CrowdStrike and CrowdStrike Falcon are marks owned by CrowdStrike, Inc. and are registered in the United States and other countries. CrowdStrike owns other trademarks and service marks and may use the brands of third parties to identify their products and services.

Amplitude Announces Second Quarter 2025 Financial Results
Amplitude Announces Second Quarter 2025 Financial Results

Business Wire

time06-08-2025

  • Business
  • Business Wire

Amplitude Announces Second Quarter 2025 Financial Results

SAN FRANCISCO--(BUSINESS WIRE)-- Amplitude, Inc. (Nasdaq: AMPL), the leading digital analytics platform, today announced financial results for its second quarter ended June 30, 2025. "Q2 was a strong quarter. We delivered the highest net-new ARR in nearly three years and saw record multi-product adoption," said Spenser Skates, CEO and co-founder of Amplitude. "This progress reflects our deliberate focus on the enterprise and platform expansion strategy. We're still early in the opportunity, and AI will be a key part of how we drive value going forward." Second Quarter 2025 Financial Highlights: (in millions, except per share and percentage amounts) Non-GAAP income (loss) from operations and non-GAAP net income (loss) per share exclude expenses related to stock-based compensation expense and related employer payroll taxes and amortization of acquired intangible assets. Stock-based compensation expense and the related employer payroll taxes were $25.3 million in the second quarter of 2025 compared to $23.3 million in the second quarter of 2024. Free cash flow is GAAP net cash provided by operating activities, less cash used for purchases of property and equipment and capitalized internal-use software costs. The section titled "Non-GAAP Financial Measures" below contains a description of the non-GAAP financial measures. Reconciliations of historical GAAP to non-GAAP information are presented in the accompanying tables. Second Quarter and Recent Business Highlights: Named a Leader and a Customer Favorite in The Forrester Wave™: Digital Analytics Solutions, Q3 2025 report. Amplitude received the highest 'Current Offering' category score of all vendors in the report, as well as the highest scores possible in 21 criteria. Ranked #1 in eight categories in G2's Summer 2025 report, including the top spot in Product Analytics for the 20th quarter in a row. Announced the beta launch of Amplitude AI Agents, which are designed to automate product management tasks like monitoring data, spotting patterns and changes, watching user sessions, forming hypotheses, running experiments, shipping changes, and monitoring impact. Released a suite of new marketing capabilities designed to allow teams to easily see what drives conversions and lifetime value (LTV), confidently measure return on ad spend, and more precisely target audiences with relevant messaging. Welcomed teams from Kraftful, Inari, and June to accelerate AI innovation. Annual Recurring Revenue was $335 million, an increase of 16% year-over-year and an increase of $15 million compared to the first quarter of 2025. GAAP Net Loss per share was $0.19, based on 131.4 million shares, compared to a loss of $0.19 per share, based on 122.6 million shares, in the second quarter of 2024. Non-GAAP Net Income (Loss) per share was $0.01, based on 140.2 million diluted shares, compared to $(0.00) per share, based on 122.6 million basic shares, in the second quarter of 2024. Cash Flow from Operations was $20.1 million, a $10.9 million increase year-over-year. Free Cash Flow was $18.2 million, a $11.4 million increase year-over-year. The number of customers with $100,000 or greater in ARR increased to 634, or 16% year-over-year growth. Financial Outlook: The third quarter and full year 2025 outlook information provided below is based on Amplitude's current estimates and is not a guarantee of future performance. These statements are forward-looking and actual results may differ materially. Refer to the 'Forward-Looking Statements' section below for information on the factors that could cause Amplitude's actual results to differ materially from these forward-looking statements. For the third quarter and full year 2025, the Company expects: An outlook for GAAP income (loss) from operations, GAAP net income (loss), GAAP net income (loss) per share and a reconciliation of expected non-GAAP income (loss) from operations to GAAP income (loss) from operations, expected non-GAAP net income (loss) to GAAP net income (loss), and expected non-GAAP net income (loss) per share to GAAP net income (loss) per share have not been provided as the quantification of certain items included in the calculation of GAAP income (loss) from operations, GAAP net income (loss) and GAAP net income (loss) per share cannot be reasonably calculated or predicted at this time without unreasonable efforts. For example, the non-GAAP adjustment for stock-based compensation expense requires additional inputs such as the number and value of awards granted that are not currently ascertainable, and the non-GAAP adjustment for amortization of acquired intangible assets depends on the timing and value of intangible assets acquired that cannot be accurately forecasted. Conference Call Information: Amplitude will host a live video webcast to discuss its financial results for its second quarter ended June 30, 2025, as well as the financial outlook for its third quarter and full year 2025 today at 2:00 PM Pacific Time / 5:00 PM Eastern Time. Interested parties may access the webcast, earnings press release, and investor presentation on the events section of Amplitude's investor relations website at A replay will be available in the same location a few hours after the conclusion of the live webcast. Forward-Looking Statements: This press release contains express and implied "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding the Company's financial outlook for the third quarter and full year 2025, the opportunity for the use of AI to drive value for the Company going forward, the Company's growth strategy and business aspirations and its market position and market opportunity. These statements are often, but not always, made through the use of words or phrases such as 'may,' 'should,' 'could,' 'predict,' 'potential,' 'believe,' 'expect,' 'continue,' 'will,' 'anticipate,' 'seek,' 'estimate,' 'intend,' 'plan,' 'projection,' 'would,' and 'outlook,' or the negative version of those words or phrases or other comparable words or phrases of a future or forward-looking nature. These forward-looking statements are not statements of historical fact, and are based on current expectations, estimates, and projections about the Company's industry as well as certain assumptions made by management, many of which, by their nature, are inherently uncertain and beyond the Company's control. These statements are subject to numerous uncertainties and risks that could cause actual results, performance, or achievement to differ materially and adversely from those anticipated or implied in the statements, including risks related to: the Company's limited operating history and rapid growth over the last several years, which makes it difficult to forecast the Company's future results of operations; the Company's history of losses; any decline in the Company's customer retention or expansion of its commercial relationships with existing customers or an inability to attract new customers; expected fluctuations in the Company's financial results, making it difficult to project future results; the Company's focus on sales to larger organizations and potentially increased dependency on those relationships, which may increase the variability of the Company's sales cycles and results of operations; downturns or upturns in new sales, which may not be immediately reflected in the Company's results of operations and may be difficult to discern; unfavorable conditions in the Company's industry or the global economy, including as a result of the imposition of tariffs or other trade protection measures, or reductions in information technology spending, which could limit the Company's ability to grow its business; the market for SaaS applications, which may develop more slowly than the Company expects or decline; the Company's intellectual property rights, which may not protect its business or provide the Company with a competitive advantage; and evolving privacy and other data-related laws; and the impact of sanctions related to Russia on the Company's ability to collect receivables. Additional risks and uncertainties that could cause actual outcomes and results to differ materially from those contemplated by the forward-looking statements are or will be included under the caption "Risk Factors" and elsewhere in the reports and other documents that the Company files with the Securities and Exchange Commission from time to time, including the Company's Quarterly Report on Form 10-Q being filed at or around the date hereof. The forward-looking statements made in this press release relate only to events as of the date on which the statements are made. The Company undertakes no obligation to update any forward-looking statements made in this press release to reflect events or circumstances after the date of this press release or to reflect new information or the occurrence of unanticipated events, except as required by law. Non-GAAP Financial Measures: This press release includes financial information that has not been prepared in accordance with GAAP. The Company uses non-GAAP financial measures internally in analyzing its financial results and believes they are useful to investors, as a supplement to GAAP measures, in evaluating the Company's ongoing operational performance. The Company believes that the use of these non-GAAP financial measures provides an additional tool for investors to use in evaluating ongoing operating results and trends and in comparing the Company's financial results with other companies in the industry, many of which present similar non-GAAP financial measures to investors. There are a number of limitations related to the use of non-GAAP financial measures versus comparable financial measures determined under GAAP. For example, other companies in the Company's industry may calculate these non-GAAP financial measures differently or may use other measures to evaluate their performance. In addition, free cash flow does not reflect the Company's future contractual commitments and the total increase or decrease of its cash balance for a given period. Non-GAAP financial measures should not be considered in isolation from, or as a substitute for, financial information prepared in accordance with GAAP. A reconciliation of the Company's non-GAAP financial measures to their most directly comparable GAAP measures has been provided in the financial statement tables included below in this press release. Investors are encouraged to review the reconciliation of these non-GAAP financial measures to their most directly comparable GAAP financial measures below. Non-GAAP Gross Profit, Non-GAAP Gross Margin, Non-GAAP Operating Expenses, Non-GAAP Income (Loss) from Operations, Non-GAAP Operating Margin, Non-GAAP Net Income (Loss), and Non-GAAP Net Income (Loss) per Share. The Company defines these non-GAAP financial measures as their respective GAAP measures, excluding expenses related to stock-based compensation expense and related employer payroll taxes, amortization of acquired intangible assets, and non-recurring costs such as restructuring and other related charges. The Company excludes stock-based compensation expense and related employer payroll taxes, which is a non-cash expense, from certain of its non-GAAP financial measures because it believes that excluding this item provides meaningful supplemental information regarding operational performance. The Company excludes amortization of intangible assets, which is a non-cash expense, related to business combinations from certain of its non-GAAP financial measures because such expenses are related to business combinations and have no direct correlation to the operation of the Company's business. Although the Company excludes these expenses from certain non-GAAP financial measures, the revenue from acquired companies subsequent to the date of acquisition is reflected in these measures and the acquired intangible assets contribute to the Company's revenue generation. The Company excludes non-recurring costs from certain of its non-GAAP financial measures because such expenses do not repeat period-over-period and are not reflective of the ongoing operation of the Company's business. The Company uses non-GAAP gross profit, non-GAAP gross margin, non-GAAP operating expenses, non-GAAP income (loss) from operations, non-GAAP operating margin, non-GAAP net income (loss), and non-GAAP net income (loss) per share in conjunction with its traditional GAAP measures to evaluate the Company's financial performance. The Company believes that these measures provide its management, board of directors, and investors consistency and comparability with its past financial performance and facilitate period-to-period comparisons of operations. Free Cash Flow and Free Cash Flow Margin. The Company defines free cash flow as net cash provided by (used in) operating activities, less cash used for purchases of property and equipment and capitalized internal-use software costs. Free cash flow margin is calculated as free cash flow divided by total revenue. The Company believes that free cash flow and free cash flow margin are useful indicators of liquidity that provide its management, board of directors, and investors with information about its future ability to generate or use cash to enhance the strength of its balance sheet and further invest in its business and pursue potential strategic initiatives. Definitions of Business Metrics: Annual Recurring Revenue The Company defines Annual Recurring Revenue ('ARR') as the annual recurring revenue of subscription agreements at a point in time based on the terms of customers' contracts, including certain premium services that are subject to contractual subscription terms and Plus customers that we expect to recur. ARR should be viewed independently of revenue, and does not represent the Company's GAAP revenue on an annualized basis, as it is an operating metric that can be impacted by contract start and end dates and renewal rates. ARR is also not intended to be a forecast of revenue. Dollar-Based Net Retention Rate The Company calculates dollar-based net retention rate as of a period end by starting with the ARR from the cohort of all customers as of 12 months prior to such period-end (the 'Prior Period ARR'). The Company then calculates the ARR from these same customers as of the current period-end (the 'Current Period ARR'). Current Period ARR includes any expansion and is net of contraction or attrition over the last 12 months, but excludes ARR from new customers as well as any overage charges in the current period. The Company then divides the total Current Period ARR by the total Prior Period ARR to arrive at the dollar-based net retention rate ("NRR"). The Company then calculates the average of the trailing 12-month dollar-based net retention rates, to arrive at the dollar-based net retention rate ('NRR (TTM)'). About Amplitude: Amplitude is the leading digital analytics platform that helps companies unlock the power of their products. Over 4,300 customers, including Atlassian, NBCUniversal, Under Armour, Square, and Jersey Mike's, rely on Amplitude to gain self-service visibility into the entire customer journey. Amplitude guides companies every step of the way as they capture data they can trust, uncover clear insights about customer behavior, and take faster action. When teams understand how people are using their products, they can deliver better product experiences that drive growth. Amplitude is the best-in-class analytics solution for product, data, and marketing teams, ranked #1 in multiple categories in G2's Summer 2025 Report. Learn how to optimize your digital products and business at AMPLITUDE, INC. CONDENSED CONSOLIDATED STATEMENTS OF OPERATIONS (In thousands, except per share amounts) (unaudited) Three Months Ended June 30, Six Months Ended June 30, 2025 2024 2025 2024 Revenue $ 83,270 $ 73,300 $ 163,223 $ 145,924 Cost of revenue (1) 22,812 19,485 43,016 38,374 Gross profit 60,458 53,815 120,207 107,550 Operating expenses: Research and development (1) $ 24,094 $ 21,145 $ 47,627 $ 44,098 Sales and marketing (1) 46,955 44,144 91,101 84,961 General and administrative (1) 16,503 15,686 32,771 30,356 Total operating expenses 87,552 80,975 171,499 159,415 Loss from operations (27,094 ) (27,160 ) (51,292 ) (51,865 ) Other income (expense), net 2,980 3,950 5,725 7,621 Loss before provision for income taxes (24,114 ) (23,210 ) (45,567 ) (44,244 ) Provision for income taxes 554 205 1,332 631 Net loss $ (24,668 ) $ (23,415 ) $ (46,899 ) $ (44,875 ) Net loss per share Basic and diluted $ (0.19 ) $ (0.19 ) $ (0.36 ) $ (0.37 ) Weighted-average shares used in calculating net loss per share: Basic and diluted 131,364 122,633 130,534 121,730 (1) Amounts include stock-based compensation expense as follows: Three Months Ended June 30, Six Months Ended June 30, 2025 2024 2025 2024 Cost of revenue $ 1,469 $ 1,548 $ 2,736 $ 3,022 Research and development 8,657 8,197 16,163 17,111 Sales and marketing 9,740 8,647 17,559 15,518 General and administrative 4,639 4,346 8,644 8,151 Total stock-based compensation expense $ 24,505 $ 22,738 $ 45,102 $ 43,802 Expand AMPLITUDE, INC. CONDENSED CONSOLIDATED STATEMENTS OF CASH FLOWS (In thousands) (unaudited) Three Months Ended June 30, Six Months Ended June 30, 2025 2024 2025 2024 Cash flows from operating activities: Net loss $ (24,668 ) $ (23,415 ) $ (46,899 ) $ (44,875 ) Adjustments to reconcile net loss to net cash provided by (used in) operating activities Depreciation and amortization 2,374 1,312 4,659 2,762 Stock-based compensation expense 24,505 22,738 45,102 43,802 Other 351 (450 ) 605 (689 ) Non-cash operating lease costs 1,205 980 2,333 1,965 Changes in operating assets and liabilities: Accounts receivable 5,055 1,219 (10,325 ) (5,565 ) Prepaid expenses and other current assets (5,268 ) (2,857 ) (3,635 ) (5,065 ) Deferred commissions (4,018 ) 3 (4,725 ) 129 Other noncurrent assets (1,017 ) (2,042 ) (1,836 ) (4,951 ) Accounts payable (239 ) (12,056 ) 945 (709 ) Accrued expenses 3,643 3,290 1,770 2,783 Deferred revenue 19,655 21,664 26,988 21,865 Operating lease liabilities (1,524 ) (1,158 ) (2,950 ) (2,272 ) Net cash provided by (used in) operating activities 20,054 9,228 12,032 9,180 Cash flows provided by (used in) investing activities: Cash received from maturities of marketable securities 14,458 15,000 23,008 57,500 Purchase of marketable securities (30,778 ) — (64,513 ) (18,352 ) Purchase of property and equipment (538 ) (606 ) (977 ) (963 ) Capitalization of internal-use software costs (1,348 ) (1,781 ) (2,113 ) (2,514 ) Cash paid for acquisitions, net of cash acquired (400 ) — (400 ) — Net cash provided by (used in) investing activities (18,606 ) 12,613 (44,995 ) 35,671 Cash flows provided by (used in) financing activities: Proceeds from the exercise of stock options 591 1,463 2,120 3,257 Cash received for tax withholding obligations on equity award settlements 302 737 1,680 2,283 Cash paid for tax withholding obligations on equity award settlements (11,318 ) (7,404 ) (20,315 ) (16,537 ) Repurchase of common stock (2,537 ) — (2,537 ) — Net cash provided by (used in) financing activities (12,962 ) (5,204 ) (19,052 ) (10,997 ) Net increase (decrease) in cash, cash equivalents, and restricted cash (11,514 ) 16,637 (52,015 ) 33,854 Cash, cash equivalents, and restricted cash at beginning of the period 132,058 266,577 172,559 249,360 Cash, cash equivalents, and restricted cash at end of the period $ 120,544 $ 283,214 $ 120,544 $ 283,214 Expand AMPLITUDE, INC. Reconciliation of GAAP to Non-GAAP Data (In thousands, except percentages and per share amounts) (unaudited) Three Months Ended June 30, Six Months Ended June 30, 2025 2024 2025 2024 Reconciliation of gross profit and gross margin GAAP gross profit $ 60,458 $ 53,815 $ 120,207 $ 107,550 Plus: stock-based compensation expense and related employer payroll taxes 1,469 1,548 2,736 3,022 Plus: amortization of acquired intangible assets 187 62 369 332 Non-GAAP gross profit $ 62,114 $ 55,425 $ 123,312 $ 110,904 GAAP gross margin 72.6 % 73.4 % 73.6 % 73.7 % Non-GAAP adjustments 2.0 % 2.2 % 1.9 % 2.3 % Non-GAAP gross margin 74.6 % 75.6 % 75.5 % 76.0 % Reconciliation of operating expenses GAAP research and development $ 24,094 $ 21,145 $ 47,627 $ 44,098 Less: stock-based compensation expense and related employer payroll taxes (9,031 ) (8,482 ) (17,110 ) (18,014 ) Non-GAAP research and development $ 15,063 $ 12,663 $ 30,517 $ 26,084 GAAP research and development as percentage of revenue 28.9 % 28.8 % 29.2 % 30.2 % Non-GAAP research and development as percentage of revenue 18.1 % 17.3 % 18.7 % 17.9 % GAAP sales and marketing $ 46,955 $ 44,144 $ 91,101 $ 84,961 Less: stock-based compensation expense and related employer payroll taxes (10,018 ) (8,837 ) (18,176 ) (16,090 ) Less: amortization of acquired intangible assets (125 ) (44 ) (247 ) (87 ) Non-GAAP sales and marketing $ 36,812 $ 35,263 $ 72,678 $ 68,784 GAAP sales and marketing as percentage of revenue 56.4 % 60.2 % 55.8 % 58.2 % Non-GAAP sales and marketing as percentage of revenue 44.2 % 48.1 % 44.5 % 47.1 % GAAP general and administrative $ 16,503 $ 15,686 $ 32,771 $ 30,356 Less: stock-based compensation expense and related employer payroll taxes (4,789 ) (4,456 ) (9,062 ) (8,510 ) Non-GAAP general and administrative $ 11,714 $ 11,230 $ 23,709 $ 21,846 GAAP general and administrative as percentage of revenue 19.8 % 21.4 % 20.1 % 20.8 % Non-GAAP general and administrative as percentage of revenue 14.1 % 15.3 % 14.5 % 15.0 % Reconciliation of operating loss and operating margin GAAP loss from operations $ (27,094 ) $ (27,160 ) $ (51,292 ) $ (51,865 ) Plus: stock-based compensation expense and related employer payroll taxes 25,307 23,323 47,084 45,636 Plus: amortization of acquired intangible assets 312 106 616 419 Non-GAAP income (loss) from operations $ (1,475 ) $ (3,731 ) $ (3,592 ) $ (5,810 ) GAAP operating margin (32.5 %) (37.1 %) (31.4 %) (35.5 %) Non-GAAP adjustments 30.8 % 32.0 % 29.2 % 31.6 % Non-GAAP operating margin (1.8 %) (5.1 %) (2.2 %) (4.0 %) Reconciliation of net income (loss) GAAP net income (loss) $ (24,668 ) $ (23,415 ) $ (46,899 ) $ (44,875 ) Plus: stock-based compensation expense and related employer payroll taxes 25,307 23,323 47,084 45,636 Plus: amortization of acquired intangible assets 312 106 616 419 Less: income tax effect of non-GAAP adjustments — (16 ) — (158 ) Non-GAAP net income (loss) $ 951 $ (2 ) $ 801 $ 1,022 Reconciliation of net income (loss) per share GAAP net income (loss) per share, basic $ (0.19 ) $ (0.19 ) $ (0.36 ) $ (0.37 ) Non-GAAP adjustments to net income (loss) 0.20 0.19 0.37 0.38 Non-GAAP net income (loss) per share, basic $ 0.01 $ (0.00 ) $ 0.01 $ 0.01 Non-GAAP net income (loss) per share, diluted $ 0.01 $ (0.00 ) $ 0.01 $ 0.01 Weighted-average shares used in GAAP and non-GAAP per share calculation, basic 131,364 122,633 130,534 121,730 Weighted-average shares used in GAAP and non-GAAP per share calculation, diluted (1) 140,210 122,633 139,804 130,400 Note: Certain figures may not sum due to rounding (1) For the three and six months ended June 30, 2025 and for the six months ended June 30, 2024, the weighted average shares used in the GAAP per share calculation excludes 8.8 million shares, 9.3 million shares, and 8.7 million shares, respectively, as the effect is anti-dilutive in the period. Expand AMPLITUDE, INC. Historicals - Key Business Metrics (In millions, except percentages) (unaudited) March 31, 2024 June 30, 2024 September 30, 2024 December 31, 2024 March 31, 2025 June 30, 2025 Annual Recurring Revenue (ARR) $ 285 $ 290 $ 298 $ 312 $ 320 $ 335 Dollar-based Net Retention Rate (NRR) 97% 96% 98% 100% 101% 104% Expand

OpenAI, Google, and AWS Lead with Enterprise Integration, Developer Ecosystems, and Cloud-Native Innovations
OpenAI, Google, and AWS Lead with Enterprise Integration, Developer Ecosystems, and Cloud-Native Innovations

Yahoo

time01-08-2025

  • Business
  • Yahoo

OpenAI, Google, and AWS Lead with Enterprise Integration, Developer Ecosystems, and Cloud-Native Innovations

The AI Agents Companies Quadrant provides a detailed analysis of the global AI agent market, evaluating over 100 companies to identify the top 22 leaders, such as OpenAI, Google, and Amazon AWS. These firms drive innovation in AI agents, which perform tasks with minimal human intervention, across various industries like finance and healthcare. The quadrant assesses companies based on criteria like revenue, growth strategies, and product types, categorizing agent roles including productivity and customer service. The report highlights key players like IBM, Microsoft, and Salesforce actively expanding their influence through strategic partnerships and R&D investments. Dublin, Aug. 01, 2025 (GLOBE NEWSWIRE) -- The "AI Agents - Company Evaluation Report, 2025" report has been added to AI Agents Companies Quadrant is a comprehensive industry analysis that provides valuable insights into the global market for AI Agents. This quadrant offers a detailed evaluation of key market players, technological advancements, product innovations, and emerging trends shaping the industry. This 360 Quadrants evaluated over 100 companies, of which the Top 22 AI Agents Companies were categorized and recognized as quadrant agents, also known as autonomous agents, are systems that leverage artificial intelligence to perform tasks with minimal human involvement. These agents are designed to observe their environments, make decisions, and carry out actions aligned with predefined objectives. Common examples include virtual assistants, chatbots, and multi-agent systems capable of collaborating or competing within decision-making scenarios. Their versatility enables deployment across a wide range of industries, such as finance, healthcare, customer service, and supply chain management, highlighting their adaptability and potential for agents offer functionalities extending beyond natural language processing, including decision-making, problem-solving, interacting with external systems, and executing complex actions. These agents can be implemented in diverse applications to address challenging tasks in enterprise environments, ranging from software development and IT automation to code-generation tools and conversational 360 Quadrant maps the AI Agents companies based on criteria such as revenue, geographic presence, growth strategies, investments, and sales strategies for the market presence of the AI Agents quadrant. The top criteria for product footprint evaluation included By AGENT SYSTEM (Single Agent Systems, Multi Agent Systems), By PRODUCT TYPE (Ready-to-Deploy Agents, Build-Your-Own Agents), By AGENT ROLE (Productivity & Personal Assistants, Sales, Marketing, Legal, Customer Service & Support, Coding & Software Development, Product Management, Accounting, Human Resources, Business Intelligence, Other Agent Roles), and By END USER (Enterprises, Consumers).Key PlayersKey players in the AI Agents market include major global corporations and specialized innovators such as Ibm, Microsoft, Google, Aws, Nvidia, Oracle, Salesforce, Openai, Liveperson, Tempus Ai, Leewayhertz, Cs Disco, Aerogility, Gupshup, Hirevue, Helpshift, Fluid Ai, Amelia, Irisity, Cogito, and Smartaction. These companies are actively investing in research and development, forming strategic partnerships, and engaging in collaborative initiatives to drive innovation, expand their global footprint, and maintain a competitive edge in this rapidly evolving 3 Companies OpenAIOpenAI leads the market with its ChatGPT suite that facilitates sophisticated conversational AI applications. OpenAI's position in the company evaluation highlights its diverse product portfolio, mainly focusing on generating long-context agents and providing robust developer API options. The firm's market share is significantly bolstered by partnerships, particularly with Microsoft, integrating OpenAI's technology into enterprise solutions. OpenAI's ranking reflects its innovation-driven strategy and significant developer community involvement, although it faces challenges from increasing competition in vertical-specific agent market strategies involve leveraging its vast technological ecosystem across search, cloud, and Android platforms. The Google Cloud Vertex AI product strengthens its company positioning within the enterprise segment by embedding AI capabilities into familiar productivity tools. Although slower in uptake compared to some cloud competitors, Google's approach focuses on building comprehensive AI solutions tailored for enterprise needs, addressing various market opportunities through custom-built agent AWSAWS commands a substantial share of the AI agents' market through its AI-driven infrastructure offerings. AWS Bedrock and related AI services represent its key strategic developments, focusing on cloud-native service integrations which increase its visibility and market penetration. The company's growth strategy has included significant partnerships and new product launches, ensuring AWS remains at the forefront of emerging AI technology Topics Covered: 1 Introduction1.1 Market Definition1.2 Inclusions and Exclusions1.3 Stakeholders2 Executive Summary3 Market Overview and Industry Trends3.1 Introduction3.2 Market Dynamics3.2.1 Drivers3.2.1.1 Accelerated Development of Natural Language Processing (Nlp) Technologies to Enhance Ai Agents' Understanding and Interaction Capabilities3.2.1.2 Demand for Hyper-Personalized Digital Experiences T1 Drive Higher Adoption of Ai Agents in Customer-Facing Roles3.2.1.3 Integration of Ai Agents into Enterprise Business Proces1 Automation to Improve Operational Efficiency and Reduce Costs3.2.2 Restraints3.2.2.1 Data Privacy and Security Concerns to Limit Market Adoption3.2.2.2 High Implementation Costs to Restrict Access to Advanced Ai Agent Solutions3.2.3 Opportunities3.2.3.1 Tailored Ai Solutions for Specialized Industry Applications Will Address Niche Market Needs and Create New Revenue Streams3.2.3.2 Expansion of Ai-Powered Saas Platforms Will Broaden Accessibility and Drive Adoption Among Small and Medium-Sized Enterprises3.2.3.3 Multilingual Capabilities in Ai Agents Will Increase Global Market Penetration and Adoption3.2.4 Challenges3.2.4.1 Challenges in Enhancing Contextual Understanding of Ai Agents3.2.4.2 Ethical and Bias Concerns in Ai Agents to Threaten Trust and Compliance in Sensitive Applications3.2.4.3 Scalability Issues in High Demand Environments T1 Challenge Performance and Reliability of Ai Agents3.3 Supply Chain Analysis3.4 Ecosystem Analysis3.4.1 Productivity & Personal Assistants3.4.2 Sales3.4.3 Marketing3.4.4 Customer Service & Support3.4.5 Legal3.4.6 Product Management3.4.7 Coding/Software Development3.4.8 Human Resources3.4.9 Business Intelligence3.4.10 Finance & Accounting3.5 Technology Analysis3.5.1 Key Technologies3.5.1.1 Optimization Algorithms3.5.1.2 Probabilistic Algorithms3.5.1.3 Planning & Search Algorithms3.5.1.4 Tensorflow3.5.1.5 Pytorch3.5.1.6 Apache Kafka3.5.1.7 Sensors/Perceptors3.5.1.8 Llm Routing3.5.1.9 Ai Agent Memory3.5.1.9.1 Short-Term Memory (Stm)3.5.1.9.2 Long-Term Memory (Ltm) Type 13.5.1.9.3 Long-Term Memory (Ltm) Type 23.5.1.9.4 Long-Term Memory (Ltm) Type 33.5.2 Complementary Technologies3.5.2.1 Api and Microservices3.5.2.2 Edge Computing3.5.2.3 Geospatial Analytics3.5.2.4 Quantization and Model Optimization3.5.3 Adjacent Technologies3.5.3.1 Multimodal Ai3.5.3.2 Responsible Ai3.5.3.3 Blockchain3.5.3.4 5G and Advanced Connectivity3.6 Patent Analysis3.6.1 Methodology3.6.2 Patents Filed, by Document Type3.6.3 Innovations and Patent Applications3.7 Key Conferences and Events (2025-2026)3.8 Porter's Five Forces Analysis3.8.1 Threat of New Entrants3.8.2 Threat of Substitutes3.8.3 Bargaining Power of Suppliers3.8.4 Bargaining Power of Buyers3.8.5 Intensity of Competitive Rivalry3.9 Trends/Disruptions Impacting Customer Business3.9.1 Trends/Disruptions Impacting Customer Business4 Competitive Landscape4.1 Overview4.2 Key Player Strategies, 2022-20254.3 Revenue Analysis, 2020-20244.4 Market Share Analysis, 20244.4.1 Market Share of Key Players Offering Ai Agents4.4.1.1 Market Ranking Analysis4.5 Product Comparison4.5.1 Product Comparative Analysis, by Open-Source Ai Agent4.5.1.1 Sweep Ai ( Superagent (Superagent Ai)4.5.1.3 Metagpt (Geekan)4.5.1.4 Autogen (Microsoft)4.5.1.5 Chatdev (Openbmb)4.5.2 Product Comparative Analysis, by Closed-Source Ai Agent4.5.2.1 Blackbox Ai (Blackbox)4.5.2.2 Copilot X (Github)4.5.2.3 Deepnote Ai (Deepnote)4.5.2.4 Phind Ask (Phind)4.5.2.5 Gumloop Flow (Gumloop)4.6 Company Valuation and Financial Metrics4.7 Company Evaluation Matrix: Key Players, 20244.7.1 Stars4.7.2 Emerging Leaders4.7.3 Pervasive Players4.7.4 Participants4.7.5 Company Footprint: Key Players, 20244.7.5.1 Company Footprint4.7.5.2 Regional Footprint4.7.5.3 Product Type Footprint4.7.5.4 Agent Role Footprint4.7.5.5 Agent System Footprint4.7.5.6 End-user Footprint4.8 Company Evaluation Matrix: Startups/Smes, 20244.8.1 Progressive Companies4.8.2 Responsive Companies4.8.3 Dynamic Companies4.8.4 Starting Blocks4.8.5 Competitive Benchmarking: Startups/Smes, 20244.8.5.1 Detailed List of Key Startups/Smes4.8.5.2 Competitive Benchmarking of Key Startups/Smes4.9 Competitive Scenario4.9.1 Product Launches and Enhancements4.9.2 Deals5 Company Profiles IBM Microsoft Google AWS Nvidia Oracle Salesforce Openai Liveperson Tempus Ai Leewayhertz Cs Disco Aerogility Gupshup Hirevue Helpshift Fluid Ai Amelia Irisity Cogito Smartaction Tovie Ai Cognosys Aisera Markovate Rasa Stability Ai Infinitus Systems Sierra Level Ai Sybill Ai Truva Leena Ai Tars Heymilo Ai Cujo Ai Oneai Cognigy Beam Ai Causalens Krisp Relevance Ai Spell Bluej Luminance Lawgeex For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Enigma Securities Invested $10M in AIverse to Accelerate the Decentralized AI Economy
Enigma Securities Invested $10M in AIverse to Accelerate the Decentralized AI Economy

Associated Press

time30-07-2025

  • Business
  • Associated Press

Enigma Securities Invested $10M in AIverse to Accelerate the Decentralized AI Economy

Singapore, July 30, 2025 -- On July 25, 2025, Enigma Securities, a leading provider of institutional-grade digital asset liquidity, announced a $10 million strategic investment in AIverse, a pioneering protocol for the decentralized AI economy. AIverse is building the world's largest on-chain AI ecosystem — a decentralized platform that empowers developers, content creators, and everyday users to create, deploy, and monetize AI Agents. With rapidly growing real-user adoption, a sustainable tokenomic model, and diverse on-chain utilities, AIverse is uniquely positioned at the intersection of two mega-trends: artificial intelligence and Web3 — unlocking unprecedented potential. This investment comes as part of Enigma's continued commitment to supporting high-quality, product-driven blockchain projects. AIverse's native token, AION, has clearly defined utility across various core scenarios, including AI Agent activation, pre-market trading, NFT licensing, and developer incentives. Its 'use-burn-earn' model re-inforce deflationary value through real platform utility, rather than speculation alone. The capital from the strategic round will accelerate the implementation of AIverse's product roadmap, strengthen its liquidity infrastructure, and support its ambitious goal of onboarding millions of users and thousands of AI Agents in the coming years. Contact Info: Name: Jason AIverse Email: Send Email Organization: MetaOneCan Website: Disclaimer: This press release is for informational purposes only. Information verification has been done to the best of our ability. Still, due to the speculative nature of the blockchain (cryptocurrency, NFT, mining, etc.) sector as a whole, complete accuracy cannot always be guaranteed. You are advised to conduct your own research and exercise caution. Investments in these fields are inherently risky and should be approached with due diligence. Release ID: 89165952 If you encounter any issues, discrepancies, or concerns regarding the content provided in this press release that require attention or if there is a need for a press release takedown, we kindly request that you notify us without delay at [email protected] (it is important to note that this email is the authorized channel for such matters, sending multiple emails to multiple addresses does not necessarily help expedite your request). Our responsive team will be available round-the-clock to address your concerns within 8 hours and take necessary actions to rectify any identified issues or guide you through the removal process. Ensuring accurate and reliable information is fundamental to our mission.

The Truth about ChatGPT Agent : Game-Changer or a Glitchy Gimmick?
The Truth about ChatGPT Agent : Game-Changer or a Glitchy Gimmick?

Geeky Gadgets

time25-07-2025

  • Geeky Gadgets

The Truth about ChatGPT Agent : Game-Changer or a Glitchy Gimmick?

What if the tool you trusted to simplify your life ended up complicating it instead? That's the paradox many users are discovering with ChatGPT's much-anticipated AI Agent. Marketed as a innovative step in task automation, this feature promises to handle everything from deep research to booking your next vacation. Yet, behind the sleek branding lies a tool that's sparking heated debates. While some hail it as a glimpse into the future of AI, others are frustrated by its glitches, inefficiencies, and glaring security concerns. Is the AI Agent a new innovation or an overhyped experiment that's not quite ready for prime time? In this exploration, Skill Leap AI unpack the truth about ChatGPT's AI Agent—its potential, pitfalls, and the real-world implications of relying on it for complex tasks. You'll discover how it works, where it stumbles, and why it's raising eyebrows among both casual users and tech enthusiasts. From its ambitious claims of seamless automation to the frustrations of inconsistent outputs, this deep dive will help you decide whether the AI Agent is a tool worth embracing—or one to approach with caution. After all, the line between innovation and inconvenience is often thinner than it seems. AI Agent Limitations What Are AI Agents? AI Agents are sophisticated tools developed to handle complex, multi-step tasks that typically require human intervention. These tasks include conducting in-depth research, filling out forms, interacting with websites, and generating reports or presentations. By combining multiple functionalities into a single system, the AI Agent aims to reduce manual workload and improve overall efficiency. For example, it can audit your Google Calendar, book hotels, or create spreadsheets with minimal user input. However, despite its ambitious objectives, the AI Agent often struggles to deliver consistent results. Tasks that should be simplified by automation frequently encounter errors, delays, or incomplete outputs, leaving users questioning its reliability. While the concept of an all-in-one automation tool is appealing, the current execution leaves much to be desired. Performance Challenges One of the most significant drawbacks of the AI Agent is its inefficiency in performing tasks. Instead of simplifying workflows, the feature often complicates them. For instance, tasks like researching business formation processes or booking travel accommodations can take far longer than expected. Booking a hotel, for example, might require up to 25 minutes, with frequent interruptions caused by errors or extended processing times. Additionally, the outputs generated by the AI Agent are often poorly formatted or less effective compared to results achieved using standard ChatGPT tools. These performance issues undermine the feature's primary goal of saving time and effort. Users who expect seamless automation are often left frustrated by the tool's inability to meet basic expectations. OpenAI ChatGPT Agent Review Watch this video on YouTube. Take a look at other insightful guides from our broad collection that might capture your interest in AI Agents. Security Concerns Data security is another critical issue associated with the AI Agent. To perform certain tasks, the feature requires access to personal accounts and sensitive information, which introduces potential risks. The virtual browser setup, while innovative, comes with warnings about malicious websites, further eroding user trust. The lack of robust safeguards to protect sensitive data is a significant concern. Users are advised to exercise caution when granting permissions or sharing confidential information. Until stronger security measures are implemented, the AI Agent's reliance on personal data will remain a barrier to widespread adoption. Use Cases and Limitations The AI Agent demonstrates potential in specific scenarios, but its limitations are hard to ignore. Tasks such as creating presentations or auditing schedules can often be accomplished using existing ChatGPT features without the need for the agent mode. This redundancy raises questions about the feature's necessity for many users. Moreover, frequent errors and an underdeveloped interface detract from its usability. Instead of simplifying workflows, the AI Agent often introduces additional complications, leaving users feeling frustrated rather than empowered. While the tool has potential, its current state makes it difficult to justify its inclusion in high-tier subscription plans. User Experience and Usability The overall user experience is hindered by long processing times, frequent glitches, and inconsistent outputs. These issues make the AI Agent feel more like a beta test than a polished product. For a feature included in premium subscription plans, such as the $200/month option, users expect a seamless and efficient experience. Unfortunately, the AI Agent falls short of these expectations, leading to disappointment among early adopters. The lack of a user-friendly interface further compounds the problem. Navigating the AI Agent's features can be cumbersome, and the frequent need for manual intervention undermines its purpose as an automation tool. For many users, the time spent troubleshooting the AI Agent outweighs any potential benefits it might offer. Pricing and Value The AI Agent is available as part of ChatGPT's premium subscription plans, but its value proposition is questionable given its current limitations. Users paying for higher-tier plans anticipate significant improvements over standard tools. However, the AI Agent often underdelivers, making it difficult to justify the additional cost. Simpler and more reliable alternatives are readily available, further diminishing the appeal of the AI Agent. Until the feature undergoes significant improvements, its inclusion in premium plans may feel like an unnecessary expense for many users. Future Potential Despite its current shortcomings, the AI Agent holds promise as a tool for automating complex tasks. Developers have acknowledged the existing inefficiencies and security risks and are actively working to refine the technology. If these improvements materialize, the AI Agent could become a valuable asset for users seeking to streamline their workflows. However, as of now, the feature remains an overhyped tool that struggles to meet user expectations. For those considering the AI Agent, it is essential to weigh its potential benefits against its current limitations. While the concept is promising, the execution still requires significant refinement to deliver on its ambitious goals. Media Credit: Skill Leap AI Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.

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