H2O.ai Breaks New World Record for Most Accurate Agentic AI for Generalized Assistants
GAIA is a rigorous evaluation framework that measures how effectively AI agents perform over 300 real-world tasks, spanning research, data analysis, document handling, and advanced reasoning. It serves as a key indicator of enterprise readiness, assessing whether AI systems can handle the kinds of high-effort, skilled tasks traditionally done by humans. For business leaders, this milestone means h2oGPTe is capable of handling the kind of nuanced decisions, regulations, and workflows that drive value in banking, telecom, healthcare, and government. H2O.ai first achieved the top GAIA ranking in December 2024 and continues to lead in production-grade, sovereign AI.
The improved performance of H2O.ai's agent technology comes from key enhancements, including advanced browser navigation for precise information extraction, unified search across multiple sources like Google and Wikipedia, and the integration of Google's Gemini 2.5 Pro and Claude 3.7 Sonnet. Additionally, the platform now features GitHub integration for navigating codebases and real-time source attribution, ensuring transparency during research.
'GAIA is fast becoming the barometer of enterprise intelligence, and at 79.7%, our agents aren't just accurate, they're adaptable,' said H2O.ai CEO and Founder Sri Ambati. 'Gemini sharpened our vision and multimodal skills, Claude boosted our reasoning and code understanding, and now we're building toward an auto-agentic future, a framework where planning agents coordinate a series of task-specific power tools. DeepResearch already gave hedge funds an edge in volatile markets, and in today's shifting geopolitical landscape, scenario planning is not a luxury, it's a necessity. Delivering all of this, on-prem, inside sovereign AI environments for governments and public institutions, that's a game changer.'
H2O.ai's agents are deployed in some of the world's most highly regulated environments to support mission-critical, task-specific operations. Global banks use them to streamline regulatory reporting and detect fraud, telecom providers to optimize call centers, and public agencies to manage complex document workflows. H2O.ai offers a growing portfolio of vertical agents — prebuilt for industries like banking, telecom, and government — and a flexible agent builder framework for creating custom agents on private data and internal systems. Built on a multi-agent architecture, planning agents can coordinate specialized sub-agents across departments, delivering structure, speed, and scale. With human-in-the-loop review, continuous learning, and auditability built in, H2O agents meet strict compliance needs while accelerating decision-making and ROI.
As enterprises move from AI pilots to production, H2O.ai continues to lead the way with modular, hardware-agnostic solutions that run securely on private clouds, on-premise infrastructure, or air-gapped environments.
With GAIA as a clear signal of applied intelligence, H2O.ai stands apart in an increasingly crowded field, proving what's possible when agentic AI is purpose-built for the enterprise.
For more information about H2O.ai's capabilities, visit h2o.ai.
About H2O.ai
Founded in 2012, H2O.ai is on a mission to democratize AI. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control.
Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH.
H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai's AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.
H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
13 minutes ago
- Yahoo
Amazon.com (AMZN) Partners With Sendbird To Expand AI Capabilities Through AWS Collaboration
witnessed a 5.34% share price increase last quarter, aligning with gains seen across major indices like the S&P 500 and Nasdaq, which also reached record highs. A contributing factor might be its strategic collaboration with Sendbird Inc. and other pivotal partnerships that bolstered market confidence in Amazon's capacity to enhance AI capabilities. This upturn is further supported by Amazon's robust Q2 earnings, showing a notable increase in revenue and net income. Legal challenges and labor-related news had counterbalancing effects, but overall, Amazon's stock movement remains in concert with the broader market's positive trajectory. We've spotted 1 risk for you should be aware of. Outshine the giants: these 18 early-stage AI stocks could fund your retirement. The recent collaboration with Sendbird Inc. and other partnerships have strengthened Amazon's AI capabilities, aligning with the company's narrative of leveraging cloud and AI for long-term growth. With AWS remaining a core driver, these moves could enhance revenue and earnings forecasts, as they bolster Amazon's positions in high-margin growth sectors. However, concerns over regulatory scrutiny and competition should not be ignored, as they may impact bottom-line results. Over the past three years, Amazon achieved a total return of 52.97%, indicating robust long-term performance against its past benchmarks. In comparison, the company outpaced the US Multiline Retail industry with a 27.3% return and the broader US Market's 19.6% return over the last year, demonstrating its relative strength. Such market and industry outperformance suggests inherent resilience and competitiveness in Amazon's operations. The current share price of US$221.47 is 18.35% below the consensus price target of US$262.11, indicating potential room for upside if forecasts align with analyst expectations. If Amazon successfully executes its plans for AI and cloud expansion, this could support reaching or exceeding these targets, thereby enhancing shareholder returns. However, potential cost pressures and slower e-commerce growth in mature markets remain risks that could temper this outlook. Review our historical performance report to gain insights into track record. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include AMZN. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ Error 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
Yahoo
13 minutes ago
- Yahoo
JLL Transforming Building Operations with Powerful New AI Capabilities
From predictive analytics to automated workflows, Prism AI delivers actionable insights across JLL's property management ecosystem CHICAGO, Aug. 13, 2025 /PRNewswire/ -- JLL (NYSE: JLL) today introduced artificial intelligence (AI) capabilities that are now available as an add-on to Prism, its award-winning building operations platform. As part of JLL's property management technology ecosystem powered by JLL Falcon, Prism AI is setting a new industry standard and multiplying property teams' strategic impact across portfolios while reducing costs. Prism AI provides comprehensive, predictive operational intelligence across all aspects of building operations — driving faster decisions on resource allocation, tenant satisfaction, risk mitigation, vendor management, capital investments and more. "In today's market, where expectations around building performance are multifaceted, investors are hyperfocused on implementing technology solutions that deliver value across their entire portfolio," said Daniel Russo, President of Property Management Technology at JLL. "Prism AI supercharges our professionals to make smarter decisions. This isn't just about efficiency; it's about fundamentally elevating the standard of property management while delivering exceptional value to our clients and tenants." Prism AI transforms disparate property documents stored in Prism into an integrated, searchable knowledge base that automates administrative tasks and streamlines workflows. Property teams can get smart recommendations to improve tenant satisfaction based on Prism AI's analysis of service request patterns. Teams can analyze years of property task and workflow data. Engineers can leverage Prism AI to analyze service manuals against warranty documentation to detect coverage opportunities and prevent costly out-of-pocket repairs. With its ability to plan more strategically and track more data, Prism AI drives efficiency, compliance and substantial cost savings across the entire property management lifecycle. With Prism's intuitive interface, users can ask simple, conversational questions like, "What issues from last quarter's property inspection are still outstanding?" and get instant answers plus relevant recommendations. By maintaining conversational history and improving transparency, Prism AI empowers property professionals with the operational intelligence needed to make data-driven decisions. Designed with security in mind, Prism AI is built on secure, reliable infrastructure with automatic backups to keep data safe. Additionally, Prism AI maintains complete data separation so property data, tenant information and financial details remain private to each organization. "Prism AI represents a transformative leap forward in property management technology, seamlessly combining advanced data analytics with practical, actionable intelligence," said Yao Morin, Chief Technology Officer at JLL. "As client expectations continue to evolve, JLL remains focused on developing solutions that not only meet today's challenges but anticipate tomorrow's opportunities, setting new standards for excellence across commercial real estate." As a fully tech-enabled CRE firm, JLL is leading the digital transformation of the industry, transforming the world's spaces with technology. Combining JLL's 200+ years of CRE expertise with world-class technologists, the company is creating an unmatched portfolio of space management and intelligence products to shape the future spaces of tomorrow: increasing the value of the world's buildings and enhancing the productivity of those who occupy them. About JLL For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500® company with annual revenue of $23.4 billion and operations in over 80 countries around the world, our more than 112,000 employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAYSM. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visit Contact: Lesley MirkowskiPhone: +312 388 2090Email: View original content to download multimedia: SOURCE JLL Error 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
New York Post
15 minutes ago
- New York Post
Hertz customers charged for minor damages by AI scanners can fight back using these phone apps
Rental car drivers are arming themselves with new AI-powered apps to fend any bogus charges from the growing use of the same technology by major companies like Hertz and Sixt. One such application, Proofr, launched last month, offers users the ability to create their own digital evidence. 'It eliminates the 'he said, she said' disputes with rental car companies by giving users a tamper-proof, AI-powered before-and-after damage scan in seconds,' Proofr CEO Eric Kuttner told The Post. 5 AI-powered vehicle inspection systems are transforming rental car returns, sparking debate over fairness to customers. UVEYE Both Sixt and Hertz have recently faced backlash from renters who accused the companies of sideswiping them with outrageous charges for minor damages — including one Hertz renter who claimed being slapped with $440 penalty for a one-inch scuff on one of the car's wheels. Proofr's system not only identifies scratches and dents but also timestamps, geotags and securely stores the images to prevent alteration. 'Because AI is now being used against consumers by rental companies to detect damage, Proofr levels the playing field,' Kuttner told The Post. 'It's the easiest way to protect yourself from surprise damage bills that can run into the thousands all for less than the average person spends on coffee monthly.' The service costs $9.90 per month, with a three-day free trial available for new users. The technology powering Proofr relies on sophisticated image analysis. 5 Proofr's app offers AI-powered before-and-after damage detection for rental customers. Proofr According to Kuttner, the company employs 'a state of the art AI image analysis pipeline to detect and log even subtle damage changes between photo sets.' Each scan undergoes encryption, receives a timestamp and gets locked to the specific location to ensure authenticity. The system's AI models have been trained using thousands of real-world images to improve accuracy. Early adopters have already successfully used the app to challenge damage claims. Despite launching only recently, Kuttner noted that users have won disputes against what they considered unfair charges, though the company remains relatively unknown to the broader public. Another player in this space, Ravin AI, has taken a different approach after initially working with rental companies. The company previously partnered with Avis in 2019 and Hertz in 2022 during early experiments with AI inspections. However, Ravin has since shifted its focus toward insurance companies and dealerships, currently working with IAG, the largest insurance firm in Australia and New Zealand. Ravin's founder and CEO, Eliron Ekstein, told The Drive that the company's pivot away from rental partnerships stemmed partly from concerns about customer treatment. 5 Ravin AI promotes faster, AI-driven claims management for the automotive industry. Ravin AI 'When you work for a car rental company, if you go about this in the wrong way, then you're actually going against their interests. Because you're going against their customers in the end,' Ekstein told The Drive. 'And we quickly realized that if we maximize our proceeds in that business, we're actually going against their customers and themselves at the end of the day.' The recent wave of customer complaints about AI-generated damage claims prompted Ravin to make its technology freely available to consumers through a demo on its homepage. The system, trained on two billion images over ten years, allows users to scan their vehicles and receive reports documenting any differences between before and after photos. Start and end your day informed with our newsletters Morning Report and Evening Update: Your source for today's top stories Thanks for signing up! Enter your email address Please provide a valid email address. By clicking above you agree to the Terms of Use and Privacy Policy. Never miss a story. Check out more newsletters Ekstein believes rental agencies are currently charging excessive fees for minor blemishes to 'justify the cost' of their scanning equipment. He pointed to ProovStation's marketing language, which promises to turn 'routine inspections into gold mines of untapped opportunities,' as evidence of this profit-focused approach. Hertz and Sixt have begun implementing automated vehicle inspection systems from companies like UVeye and ProovStation at multiple locations, with other rental agencies watching closely. These AI scanners detect damage without human review, potentially flagging every minor imperfection on returned vehicles. 5 Hertz has used AI scanners to flag minor damage to rentals, resulting in customers being charged hundreds of dollars. Reddit /HertzRentals Testing of these consumer apps reveals both promise and limitations. The Drive's evaluation found Ravin's system missed two obvious paint chips while incorrectly identifying a reflection as minor damage. Similarly, Proofr's app, while featuring an attractive interface, experienced repeated crashes during image saving, according to The Drive. These issues highlight ongoing challenges in the technology, particularly regarding photo conditions and lighting. 'Who takes the image, what time, [and] what angle' can dramatically affect results, Ekstein acknowledged, noting that environmental factors remain one of the biggest obstacles for accurate damage detection. Despite these limitations, Ekstein stressed the importance of transparency in damage claims. 5 Sixt uses ProovStation's AI-powered vehicle inspection scanners at several of its major airport locations. REUTERS 'You can't go after scuffs — that goes against the whole service culture of those companies,' he told The Drive. He argued that rental companies should only pursue claims for substantial damage costing at least $700 to repair, and customers should receive detailed repair estimates rather than flat fees. Kuttner frames this technological shift as a pivotal moment. 'We believe this is a turning point for AI moving from something that works for companies to something that works for everyone,' he told The Post. The Post has sought comment from Hertz, Sixt, UVeye and ProovStation.
