Latest news with #Ceva
Yahoo
2 days ago
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Ceva, Inc. Announces Second Quarter 2025 Financial Results
Total revenue of $25.7 million, up 6% sequentially 4 licensing deals signed for NeuPro NPUs, marking pivotal moment for Ceva's AI business 2 strategic automotive IP agreements secured with U.S. companies for V2X and 4D radar Ceva-powered device shipments of 488 million units in the quarter, including record cellular IoT and Wi-Fi 6 shipments Surpassed 20 billion Ceva-powered device milestone, underscoring technology leadership and deep industry partnerships for more than two decades Repurchased 300,000 shares of Ceva stock for approximately $6.2 million during the quarter ROCKVILLE, Md., Aug. 11, 2025 /PRNewswire/ -- Ceva, Inc. (NASDAQ: CEVA), the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and efficiently, today announced its financial results for the second quarter ended June 30, 2025. Total revenue for the second quarter of 2025 was $25.7 million, compared to $28.4 million reported for the second quarter of 2024. Licensing and related revenue for the second quarter of 2025 was $15.0 million, compared to $17.3 million reported for the same quarter a year ago. Royalty revenue for the second quarter of 2025 was $10.7 million, compared to $11.2 million reported for the second quarter of 2024. Amir Panush, Chief Executive Officer of Ceva, commented: "We are pleased by the second quarter results, driven by expanded AI licensing deals and good execution across our 3 pillars use cases – connect, sense and infer – coupled with a sequential growth in royalties. Our AI business continues to scale, with four new NPU agreements signed during the quarter - marking a pivotal moment in customer adoption and underscoring the growing demand for our industry-leading edge AI technologies. These wins, along with reaching 20 billion Ceva-powered devices shipped milestone, reinforce Ceva's position as the leader in wireless connectivity IP and as a trusted partner for the smart edge era. Our business is well-positioned to deliver sequential and year-over-year growth in the second half of this year." During the quarter, 13 IP licensing agreements were concluded, targeting a wide range of end markets and applications, including edge AI NPUs for consumer devices and communications acceleration in cloud infrastructure, vehicle-2-everything (V2X) communications and 4D radar for automotive, Bluetooth for industrial and consumer devices and spatial audio for consumer earbuds and headsets. Five of the deals signed were with first-time customers and four of the deals were with OEM customers. GAAP gross margin for the second quarter of 2025 was 86%, as compared to 90% in the second quarter of 2024. GAAP operating loss for the second quarter of 2025 was $4.5 million, as compared to a GAAP operating loss of $0.04 million for the same period in 2024. GAAP net loss for the second quarter of 2025 was $3.7 million, as compared to a GAAP net loss of $0.3 million reported for the same period in 2024. GAAP diluted loss per share for the second quarter of 2025 was $0.15, as compared to GAAP diluted loss per share of $0.01 for the same period in 2024. Non-GAAP gross margin for the second quarter of 2025 was 87%, as compared to 91% for the same period in 2024. Non-GAAP operating income for the second quarter of 2025 was $0.8 million, as compared to non-GAAP operating income of $4.4 million reported for the second quarter of 2024. Non-GAAP net income and diluted income per share for the second quarter of 2025 were $1.8 million and $0.07, respectively, compared with non-GAAP net income and diluted income per share of $4.2 million and $0.17, respectively, reported for the second quarter of 2024. Yaniv Arieli, Chief Financial Officer of Ceva, added: "Demand for our AI NPUs underpinned our licensing business in the quarter, with total licensing revenue exceeding $15 million for the fifth consecutive quarter. In royalties, consumer IoT shipments continued to grow, supported by record highs in cellular IoT and Wi-Fi 6. We remain focused on disciplined expense management and delivering improved profitability. In addition, we were active in our share repurchase program during the quarter, buying back 300,000 shares for approximately $6.2 million." Ceva Conference CallOn August 11, 2025, Ceva management will conduct a conference call at 8:30 a.m. Eastern Time to discuss the operating performance for the quarter. The conference call will be available via the following dial in numbers: U.S. Participants : Dial 1-844-435-0316 (Access Code : Ceva) International Participants: Dial +1-412-317-6365 (Access Code: Ceva) The conference call will also be available live via webcast at the following link: Please go to the web site at least fifteen minutes prior to the call to register. For those who cannot access the live broadcast, a replay will be available by dialing +1-877-344-7529 or +1-412-317-0088 (access code: 1439858) from one hour after the end of the call until 9:00 a.m. (Eastern Time) on August 18, 2025. The replay will also be available at Ceva's web site at Forward Looking Statements This press release contains forward-looking statements that involve risks and uncertainties, as well as assumptions that if they materialize or prove incorrect, could cause the results of Ceva to differ materially from those expressed or implied by such forward-looking statements and assumptions. Forward-looking statements include statements the continued scaling of our AI business, Ceva's positioning as a leader in wireless connectivity IP and a trusted partner for the smart edge era, and expectations regarding sequential growth for the second half of the year. The risks, uncertainties and assumptions that could cause differing Ceva results include: the effect of intense industry competition; the ability of Ceva's technologies and products incorporating Ceva's technologies to achieve market acceptance; Ceva's ability to meet changing needs of end-users and evolving market demands; the cyclical nature of and general economic conditions in the semiconductor industry; Ceva's ability to diversify its royalty streams and license revenues; Ceva's ability to continue to generate significant revenues from the handset baseband market and to penetrate new markets; instability and disruptions related to the ongoing Israel-Gaza conflict; and general market conditions and other risks relating to Ceva's business, including, but not limited to, those that are described from time to time in our SEC filings. Ceva assumes no obligation to update any forward-looking statements or information, which speak as of their respective dates. Non-GAAP Financial MeasuresNon-GAAP gross margin for the second quarters of 2025 and 2024 excluded: (a) equity-based compensation expenses of $0.2 million and (b) amortization of acquired intangibles of $0.1 million. Non-GAAP operating income for the second quarter of 2025 excluded: (a) equity-based compensation expenses of $4.9 million, (b) the impact of the amortization of acquired intangibles of $0.2 million and (c) $0.1 million of costs associated with asset acquisition. Non-GAAP operating income for the second quarter of 2024 excluded: (a) equity-based compensation expenses of $3.9 million, (b) the impact of the amortization of acquired intangibles of $0.3 million and (c) $0.3 million of costs associated with asset acquisition. Non-GAAP net income and diluted income per share for the second quarter of 2025 excluded: (a) equity-based compensation expenses of $4.9 million, (b) the impact of the amortization of acquired intangibles of $0.2 million, (c) $0.1 million of costs associated with asset acquisition and (d) $0.2 million loss associated with the remeasurement of marketable equity securities. Non-GAAP net income and diluted income per share for the second quarter of 2024 excluded: (a) equity-based compensation expenses of $3.9 million, (b) the impact of the amortization of acquired intangibles of $0.3 million, (c) $0.3 million of costs associated with asset acquisition and (d) $0.1 million loss associated with the remeasurement of marketable equity securities. About Ceva, Ceva, we are passionate about bringing new levels of innovation to the smart edge. Our wireless communications, sensing and Edge AI technologies are at the heart of some of today's most advanced smart edge products. From wireless connectivity IPs (Bluetooth, Wi-Fi, UWB and 5G platform IP), to scalable Edge AI NPU IPs and sensor fusion solutions, we have the broadest portfolio of IP to connect, sense and infer data more reliably and efficiently. We deliver differentiated solutions that combine outstanding performance at ultra-low power within a very small silicon footprint. Our goal is simple – to deliver the silicon and software IP to enable a smarter, safer, and more interconnected world. This philosophy is in practice today, with Ceva powering more than 20 billion of the world's most innovative smart edge products from AI-infused smartwatches, IoT devices and wearables to autonomous vehicles and 5G mobile networks. Our headquarters are in Rockville, Maryland with a global customer base supported by operations worldwide. Our employees are among the leading experts in their areas of specialty, consistently solving the most complex design challenges, enabling our customers to bring innovative smart edge products to market. Ceva is committed to being a responsible and respected global corporate citizen and a more sustainable company in the countries where we have operations and employees. We adhere to our Code of Business Conduct and Ethics and emphasize and focus on environmental controls, resource conservation and recycling and the welfare of our employees. Ceva: Powering the Smart Edge™ Visit us at and follow us on LinkedIn, X, YouTube, Facebook, and Instagram. Ceva, Inc. AND ITS SUBSIDIARIES INTERIM CONDENSED CONSOLIDATED STATEMENTS OF LOSS – U.S. GAAP U.S. dollars in thousands, except per share data Three months ended Six months endedJune 30, June 30,2025 2024 2025 2024Unaudited Unaudited Unaudited Unaudited Revenues: Licensing and related revenues $ 15,022 $ 17,278 $ 30,064 $ 28,692 Royalties 10,656 11,159 19,859 21,817Total revenues 25,678 28,437 49,923 50,509Cost of revenues 3,549 2,933 7,036 5,436Gross profit 22,129 25,504 42,887 45,073Operating expenses: Research and development, net 18,758 18,758 36,367 36,749 Sales and marketing 3,322 3,095 6,771 5,911 General and administrative 4,381 3,537 8,314 7,109 Amortization of intangible assets 150 149 299 299 Total operating expenses 26,611 25,539 51,751 50,068Operating loss (4,482) (35) (8,864) (4,995) Financial income, net 2,121 1,406 4,221 2,663 Revaluation of marketable equity securities (208) (58) (262) (118)Income (loss) before taxes on income (2,569) 1,313 (4,905) (2,450) Income tax expense 1,135 1,604 2,126 3,289 Net loss $ (3,704) $ (291) $ (7,031) $ (5,739)Basic and diluted net loss per share $ (0.15) $ (0.01) $ (0.30) $ (0.24)Weighted-average shares used to compute net loss per share (in thousands): Basic and diluted 23,898 23,628 23,832 23,568 Unaudited Reconciliation of GAAP to Non-GAAP Financial Measures U.S. Dollars in thousands, except per share amountsThree months ended Six months endedJune 30, June 30,2025 2024 2025 2024Unaudited Unaudited Unaudited Unaudited GAAP net loss $ (3,704) $ (291) $ (7,031) $ (5,739) Equity-based compensation expense included in cost of revenues 166 191 325 394 Equity-based compensation expense included in research and development expenses 2,673 2,438 5,139 4,445 Equity-based compensation expense included in sales and marketing expenses 598 451 1,164 816 Equity-based compensation expense included in general and administrative expenses 1,465 820 2,597 1,816 Amortization of intangible assets related to acquisition of businesses 209 278 417 556 Costs associated with asset acquisition 144 252 288 532 Loss associated with the remeasurement of marketable equity securities 208 58 262 118 Non-GAAP net income $ 1,759 $ 4,197 $ 3,161 $ 2,938 GAAP weighted-average number of Common Stock used in computation of diluted net loss and loss per share (in thousands) 23,898 23,628 23,832 23,568 Weighted-average number of shares related to outstanding stock-based awards (in thousands) 1,763 1,482 1,690 1,421 Weighted-average number of Common Stock used in computation of diluted earnings per share, excluding the above (in thousands) 25,661 25,110 25,522 24,989 GAAP diluted loss per share $ (0.15) $ (0.01) $ (0.30) $ (0.24) Equity-based compensation expense $ 0.19 $ 0.16 $ 0.38 $ 0.32 Amortization of intangible assets related to acquisition of businesses $ 0.01 $ 0.01 $ 0.02 $ 0.02 Costs associated with asset acquisition $ 0.01 $ 0.01 $ 0.01 $ 0.02 Loss associated with the remeasurement of marketable equity securities $ 0.01 $ 0.00 $ 0.01 $ 0.00 Non-GAAP diluted earnings per share $ 0.07 $ 0.17 $ 0.12 $ 0.12 Three months ended Six months endedJune 30, June 30,2025 2024 2025 2024Unaudited Unaudited Unaudited Unaudited GAAP Operating loss $ (4,482) $ (35) $ (8,864) $ (4,995) Equity-based compensation expense included in cost of revenues 166 191 325 394 Equity-based compensation expense included in research and development expenses 2,673 2,438 5,139 4,445 Equity-based compensation expense included in sales and marketing expenses 598 451 1,164 816 Equity-based compensation expense included in general and administrative expenses 1,465 820 2,597 1,816 Amortization of intangible assets related to acquisition of businesses 209 278 417 556 Costs associated with asset acquisition 144 252 288 532 Total non-GAAP Operating Income $ 773 $ 4,395 $ 1,066 $ 3,564 Three months ended Six months endedJune 30, June 30,2025 2024 2025 2024Unaudited Unaudited Unaudited UnauditedGAAP Gross Profit $ 22,129 $ 25,504 $ 42,887 $ 45,073 GAAP Gross Margin 86 % 90 % 86 % 89 %Equity-based compensation expense included in cost of revenues 166 191 325 394 Amortization of intangible assets related to acquisition of businesses 59 129 118 257 Total Non-GAAP Gross profit 22,354 25,824 43,330 45,724 Non-GAAP Gross Margin 87 % 91 % 87 % 91 % Ceva, Inc. AND ITS SUBSIDIARIES INTERIM CONDENSED CONSOLIDATED BALANCE SHEETS (U.S. Dollars in thousands)June 30, December 31, 2025 2024 (*) Unaudited Unaudited ASSETSCurrent assets:Cash and cash equivalents$ 29,082 $ 18,498 Marketable securities and short-term bank deposits128,422 145,146 Trade receivables, net11,832 15,969 Unbilled receivables24,851 21,240 Prepaid expenses and other current assets14,621 15,488 Total current assets208,808 216,341 Long-term assets:Severance pay fund7,864 7,161 Deferred tax assets, net1,630 1,456 Property and equipment, net6,484 6,877 Operating lease right-of-use assets4,645 5,811 Investment in marketable equity securities50 312 Goodwill58,308 58,308 Intangible assets, net1,460 1,877 Other long-term assets13,593 10,805 Total assets$ 302,842 $ 308,948 LIABILITIES AND STOCKHOLDERS' EQUITYCurrent liabilities:Trade payables$ 1,771 $ 1,125 Deferred revenues3,212 3,599 Accrued expenses and other payables17,749 23,207 Operating lease liabilities1,610 2,598 Total current liabilities24,342 30,529 Long-term liabilities: Accrued severance pay8,155 7,365 Operating lease liabilities2,755 2,963 Other accrued liabilities1,698 1,535 Total liabilities36,950 42,392 Stockholders' equity:Common stock24 24 Additional paid in-capital267,743 259,891 Treasury stock(5,874) (3,222) Accumulated other comprehensive income (loss)344 (1,330) Retained earnings3,655 11,193 Total stockholders' equity265,892 266,556 Total liabilities and stockholders' equity$ 302,842 $ 308,948(*) Derived from audited financial statements. 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Forbes
23-07-2025
- Business
- Forbes
Small Language Models, Big Possibilities: The Future Of AI At The Edge
Iri Trashanski, Chief Strategy Officer at Ceva, is shaping the future of the Smart Edge with extensive experience across tech sectors. The AI landscape is taking a dramatic turn, as small language and multimodal models are approaching the capabilities of larger, cloud-based systems. This acceleration reflects a broader shift toward on-device intelligence. As the industry races toward AI that is local, fast, secure and power-efficient, the future is increasingly unfolding on the smallest, most resource-constrained devices at the very edge of the network. From wearables and smart speakers to industrial sensors and in-vehicle systems, the demand is growing for language-capable AI that can operate independently of the cloud. As small language models (SLMs) continue to improve, they are poised to play a key role in making language AI more accessible across a wide range of embedded applications. The New Edge Imperative Device makers are pushing to reduce latency, strengthen privacy, lower operational costs and design more sustainable products. All of these point to a shift away from cloud-reliant AI toward local processing. However, delivering meaningful AI performance in devices with tight power and memory budgets isn't easy. Traditional approaches fall short, and hardware like the $95,000 "desktop supercomputer," capable of running full large language models (LLMs) offline, while impressive, is cost- and energy-prohibitive for mass deployment. By contrast, SLMs running on ultra-efficient processors offer a practical and sustainable path forward. Breakthroughs like Microsoft's Phi, Google's Gemini Nano and open models like Mistral and Metalama are closing the performance gap rapidly. Some models—like Google's Gemma 3 and TinyLlama—are achieving remarkable results with only around one billion parameters, enabling summarization, translation and command interpretation directly on-device. Optimizations such as pruning, quantization and distillation further shrink their size and energy draw. These models are already running on consumer-grade chipsets, proving that lean, localized intelligence is ready for prime time. Bridging The Gap In Edge AI Deployment As someone working closely with global chipmakers and system designers, I see this trend as a strategic inflection point. The industry is shifting toward AI that is leaner, faster and embedded where decisions happen—where milliseconds matter, and where compute resources are tightly bound. As I attend events like Embedded World 2025, it has become clear that the appetite for intelligent edge solutions is growing faster than the infrastructure needed to support them. Device manufacturers want to bring AI to the edge—but face a fragmented ecosystem of silicon platforms, development tools and AI frameworks. Recent research shows that edge AI adoption is rapidly growing across industries. The global edge AI in smart devices market is forecast to exceed $385 billion by 2034, according to research. The challenge is how to bridge the gap between today's state-of-the-art models and tomorrow's real-world deployment requirements. This means ensuring models not only fit into the tight power and memory budgets of edge devices—but that they can be deployed easily, updated efficiently and scaled cost-effectively. Many device manufacturers are also struggling to bridge the 'last mile' of inference: ensuring models not only run locally but can be maintained, updated and scaled cost-effectively. Building Blocks For The Smart Edge To solve these challenges, organizations across the tech ecosystem—from global chipmakers and tool vendors to consumer device manufacturers—are coalescing around a shared vision: The smarter future of AI lies at the edge. This shift is fueled by increasing demands for real-time responsiveness, privacy-preserving data handling, lower latency and more sustainable compute alternatives—particularly in scenarios like wearables, automotive systems and industrial IoT. Recent surveys show that a majority of enterprises are either deploying edge AI or planning to do so imminently, reflecting how on-device inference has shifted from experimental to strategic realms. This momentum is supported by advancements across multiple fronts: edge-ready NPUs and accelerators embedded into devices, lightweight model formats like TensorFlow Lite and ONNX Runtime and hybrid cloud—edge architectures that offer flexibility and scale. As AI capabilities become leaner and more optimized, the value of real-time, intelligent inference at the device level is accelerating not just across verticals like automotive, consumer electronics and industrial systems, but as a foundational requirement for the next generation of smart, energy-efficient connectivity and interaction. The Real-World Challenges Of Deploying SLMs At The Edge Despite the excitement, several hurdles still need to be addressed before SLMs at the edge can reach mainstream adoption: • Model Compatibility And Scaling: Not all models can be easily pruned or quantized for edge deployment. Choosing the right architecture—and understanding trade-offs between size, latency and accuracy—is critical. • Ecosystem Fragmentation: Many edge hardware platforms are siloed with proprietary software development kits (SDKs). This lack of standardization increases complexity for developers and slows adoption. • Security And Update Infrastructure: Deploying and managing models on edge devices over time—e.g., via over-the-air (OTA) updates—requires robust, secure infrastructure. Democratizing Intelligence—And Sustainability—One Device At A Time Perhaps the most exciting outcome of the SLM revolution is that it levels the playing field. By removing the infrastructure barriers traditionally associated with AI, it allows startups, original equipment manufacturers (OEMs) and makers to embed meaningful intelligence in nearly any device. With tens of billions of connected devices already in use—spanning everything from thermostats to factory robots—the opportunity is vast. And local inference is more than just responsive—it's dramatically more energy efficient than cloud-based alternatives, supporting greener AI deployment strategies. AI doesn't need to be massive to be meaningful. Sometimes the most powerful intelligence is also the most efficient. As SLMs continue to evolve and hardware support becomes more ubiquitous, the smart edge will move from possibility to default. In the process, we'll unlock new classes of real-time, personalized and sustainable AI experiences—delivered not from distant data centers, but from the device in your hand, pocket or factory floor. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
24-06-2025
- Business
- Yahoo
Ceva Launches MotionEngine™ Hex: Bringing Precise, Touch-Free, Spatial Control to Smart TV, Gaming, and IoT Interfaces
MotionEngine Hex software fuses UWB and motion sensor data to deliver 6-degree-of-freedom (6-DOF) motion tracking and intuitive control, enabling new interaction paradigms for electronic displays ROCKVILLE, Md., June 24, 2025 /PRNewswire/ -- Ceva, Inc. (NASDAQ: CEVA), the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and efficiently, today introduced MotionEngine™ Hex, a next-generation motion control software solution that enables precise, natural interaction with Smart TVs and connected displays. By combining ultra-wideband (UWB) positioning with inertial measurement unit (IMU) orientation sensing, MotionEngine Hex delivers true 6-degree-of-freedom (6-DOF) tracking – allowing users to control on-screen content with touchscreen-like pointing accuracy and spatial gestures, without ever touching the screen. Designed for OEMs and developers seeking to push the boundaries of user interaction, MotionEngine Hex is a robust, low-latency software stack that enables precise 3D position and orientation tracking in real time. The result is a direct, touchscreen-like experience that enhances usability and unlocks new interaction modes where the edge of the screen is no longer the limit. This direct pointing experience is ideal for navigating modern smart TV interfaces, PC monitors, commercial displays, gaming, and even controlling smart home devices. "We designed MotionEngine Hex to feel like an extension of your hand," said Chad Lucien, vice president and general manager of the sensor and audio business unit at Ceva. "It's precise, intuitive, and opens up entirely new ways to interact with content on digital displays. It's a powerful way for device makers to differentiate their products in a crowded market while delivering a premium, next-gen user experience that consumers will immediately appreciate." MotionEngine Hex is built on the Ceva MotionEngine software which has been in production for more than 15 years and is deployed in more than 150 million devices. Technical Highlights 6-DOF Sensor Fusion Engine: MotionEngine Hex integrates data from a 3-axis accelerometer, 3-axis gyroscope, and UWB-based position sensors to compute full 6-DOF pose (position + orientation) with high temporal resolution and spatial accuracy. Absolute Pointing: Unlike relative motion systems, MotionEngine Hex provides absolute cursor positioning based on real-world spatial coordinates, enabling intuitive interactions such as direct selection, on and off-screen gestures, and spatial drag-and-drop. Dual Architecture Support: Host-Based: Runs on the host processor (e.g., TV SoC or STB CPU), interfacing with Bluetooth and UWB modules. Embedded: Optimized for integration into Bluetooth SoCs within remote controls, enabling standalone operation with minimal host dependency. Sensor Calibration and Compensation: Includes runtime calibration, drift compensation, and tremor suppression algorithms to ensure consistent performance across environments and users. Low Power, Small Footprint: Designed for embedded systems with constrained resources, MotionEngine Hex operates efficiently on low-power MCUs and DSPs, making it ideal for battery-powered remotes and handheld devices. MotionEngine Hex is available now and will be demonstrated at Sensors Converge Conference, June 25 - 26, 2025 at the Santa Clara Convention Center, Santa Clara, CA. For more on MotionEngine Hex and Ceva's motion-sensing technologies, visit About Ceva, Ceva, we are passionate about bringing new levels of innovation to the smart edge. Our wireless communications, sensing and Edge AI technologies are at the heart of some of today's most advanced smartedge products. From Bluetooth, Wi-Fi, UWB and 5G platform IP for ubiquitous, robust communications, to scalable Edge AI NPU IPs, sensor fusion processors and embedded application software that make devices smarter, we have the broadest portfolio of IP to connect, sense and infer data more reliably and efficiently. We deliver differentiated solutions that combine outstanding performance at ultra-low power within a very small silicon footprint. Our goal is simple – to deliver the silicon and software IP to enable a smarter, safer, and more interconnected world. This philosophy is in practice today, with Ceva powering more than 19 billion of the world's most innovative smart edge products from AI-infused smartwatches, IoT devices and wearables to autonomous vehicles and 5G mobile networks. Our headquarters are in Rockville, Maryland with a global customer base supported by operations worldwide. Our employees are among the leading experts in their areas of specialty, consistently solving the most complex design challenges, enabling our customers to bring innovative smart edge products to market. Ceva: Powering the Smart Edge™ Visit us at and follow us on LinkedIn, X, YouTube, Facebook, and Instagram. View original content to download multimedia: SOURCE Ceva, Inc. 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
10-06-2025
- Business
- Yahoo
Elliptic Labs' AI Platform Now Optimized for Ceva's NeuPro-Nano NPU - Enabling Smarter Edge Devices
OSLO, Norway and ROCKVILLE, Md., June 10, 2025 /PRNewswire/ -- Elliptic Labs (OSE: ELABS), a global AI software company and the world leader in AI Virtual Smart Sensors™ currently deployed in over half a billion devices, and Ceva, Inc. (NASDAQ: CEVA), the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and efficiently, today announced a collaboration to bring Elliptic Labs' AI Virtual Smart Sensor Platform™ to Ceva's state of the art NeuPro-Nano Neural Processing Unit (NPU), enabling next-generation, context-aware sensing on ultra-low power edge devices. From leading semiconductor companies to forward-looking consumer electronics brands, Ceva customers can now leverage Elliptic Labs' AI Virtual Smart Sensor Platform™, a full-stack AI software solution, on the NeuPro-Nano NPU—enabling precise, optimized AI models for rich, contextual user experiences at the edge. This provides seamless interaction in devices such as noise-cancelling earbuds, touchless smart displays, presence-aware thermostats, and predictive industrial sensors. Together with Ceva's NeuPro Studio SDK, this integration is production-ready, accelerating development and deployment of intelligent sensing features across a wide range of AIoT applications. "This collaboration is a major step forward in expanding the reach of our AI Virtual Smart Sensor Platform," said Laila Danielsen, CEO of Elliptic Labs. "Combining our full-stack AI capabilities with Ceva's highly efficient NeuPro-Nano NPU, creates a powerful synergy that helps device makers bring context-aware, intelligent features to a new generation of smart devices. Together, we're unlocking true edge AI scalability." "Elliptic Labs software-first approach to AI aligns perfectly with our NeuPro-Nano NPU's strength in ultra-low power, high-performance processing," said Chad Lucien, Vice President and General Manager of the Sensors and Audio Business Unit of Ceva. "By integrating Elliptic Labs' platform, we're enabling our customers to rapidly deploy intelligent sensing and interaction capabilities and deliver smarter, more responsive products across the AIoT spectrum." The Elliptic Labs platform supports efficient model deployment, quantization, and runtime optimization for real-time sensor fusion, gesture detection, presence sensing, and other contextual AI applications. When paired with Ceva's NeuPro-Nano NPU, the combined solution ensures best-in-class performance for edge computing with minimal resource consumption. This partnership highlights both companies' commitment to advancing AI innovation at the edge—delivering smarter, more responsive user experiences without compromising power efficiency or latency. To learn more about this collaboration between Elliptic Labs and Ceva, please contact Elliptic Labs at sales@ or visit About Elliptic Labs Elliptic Labs' AI Virtual Smart Sensor Platform™ brings contextual intelligence to devices, enhancing user experiences. Our technology uses proprietary deep neural networks to create AI-powered Virtual Smart Sensors that improve personalization, privacy, and productivity. Currently deployed in over 500 million devices, our platform works across all devices, operating systems, platforms, and applications. By utilizing system-level telemetry data to cloud-based Large Language Models (LLMs), the AI Virtual Smart Sensor Platform delivers the unrivaled capability to utilize output data from every available data source. This approach allows devices to better understand and respond to their environment, making technology more intuitive and user-friendly. At Elliptic Labs, we're not just adapting to the future of technology – we're actively shaping it. Our goal is to continue pushing the boundaries of contextual intelligence, creating more intuitive and powerful experiences for users worldwide. Elliptic Labs is headquartered in Norway with presence in the USA, China, South-Korea, Taiwan, and Japan. The company is listed on the Oslo Stock Exchange. Its technology and IP are developed in Norway and are solely owned by the company. About Ceva, Ceva, we are passionate about bringing new levels of innovation to the smart edge. Our wireless communications, sensing and Edge AI technologies are at the heart of some of today's most advanced smart edge products. From Bluetooth, Wi-Fi, UWB and 5G platform IP for ubiquitous, robust communications, to scalable Edge AI NPU IPs, sensor fusion processors and embedded application software that make devices smarter, we have the broadest portfolio of IP to connect, sense and infer data more reliably and efficiently. We deliver differentiated solutions that combine outstanding performance at ultra-low power within a very small silicon footprint. Our goal is simple – to deliver the silicon and software IP to enable a smarter, safer, and more interconnected world. This philosophy is in practice today, with Ceva powering more than 19 billion of the world's most innovative smart edge products from AI-infused smartwatches, IoT devices and wearables to autonomous vehicles and 5G mobile networks. Our headquarters are in Rockville, Maryland with a global customer base supported by operations worldwide. Our employees are among the leading experts in their areas of specialty, consistently solving the most complex design challenges, enabling our customers to bring innovative smart edge products to market. Ceva: Powering the Smart Edge™ Visit us at and follow us on LinkedIn, X, YouTube, Facebook, and Instagram. View original content to download multimedia: SOURCE Ceva, Inc. 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
Forbes
12-05-2025
- Business
- Forbes
How NTNs Are Powering Seamless Communications
Iri Trashanski, Chief Strategy Officer at Ceva, is shaping the future of the Smart Edge with extensive experience across tech sectors. getty In today's hyperconnected world, seamless connectivity is no longer a luxury—it's an expectation. Yet despite the transformative impact of cellular and IoT technologies, much of the Earth's surface remains outside the reach of ground-based infrastructure. This gap underscores the urgent need for new solutions that can provide truly global coverage. Nonterrestrial networks (NTNs), particularly those leveraging low Earth orbit (LEO) satellites, represent a paradigm shift in global communications, extending connectivity to remote and underserved regions. Major players such as SpaceX's Starlink, Amazon's Kuiper and OneWeb are investing heavily in satellite-based solutions to expand network access. Meanwhile, geopolitical tensions and national data security concerns are fueling an added sense of urgency to the evolution of satellite investment, deployment and ownership. Delivering high-bandwidth, low-latency satellite communication presents formidable challenges, including spectrum efficiency, security, power consumption and seamless integration with terrestrial networks. Addressing these challenges is essential for NTNs to support next-generation applications and ensure global digital sovereignty. The rapid deployment of LEO satellite constellations by private and government entities marks the beginning of a new phase in satellite communications. Unlike traditional geostationary satellites, which suffer from high latency and limited throughput, LEO satellites operate at lower altitudes—reducing signal travel time and improving data rates. These enhancements make NTNs a powerful tool for applications such as global IoT connectivity, disaster response, maritime and aeronautical communications and remote sensing. Allied Market Research forecasts the NTN market will reach $93.6 billion by 2032 with a CAGR of 40.6%. Expect NTN-enabled LEO networks to support applications ranging from real-time environmental monitoring to direct-to-device (D2D) satellite connectivity for smartphones and wearables. One of the critical advancements enabling NTNs is the development of 5G regenerative payloads—satellite-based base stations that process signals in orbit instead of simply routing them to a ground station. These payloads allow for greater network efficiency, lower latency and better spectrum utilization. For NTNs to become truly viable, user terminals—whether smartphones, IoT devices or enterprise communication systems—must be adapted to support 5G NTN. Enhancements in 3GPP releases 17, 18 and 19 introduced critical upgrades, including satellite-based timing synchronization, power efficiency optimizations and signal adaptation techniques to maintain reliable communication even in high-mobility environments. Furthermore, the adoption of millimeter wave (mmWave) spectrum (FR2), which offers higher bandwidth and throughput, can significantly enhance satellite communications. However, these frequencies also require advanced processing capabilities to manage increased data rates and mitigate interference effectively. This reinforces an even greater need for optimized power efficiency and signal processing. As NTNs scale globally, security becomes a central concern for operators and governments alike. Satellite communications are inherently vulnerable to cyber threats, including eavesdropping, signal jamming and data interception. Future NTN deployments must incorporate advanced encryption protocols, AI-powered anomaly detection and quantum-resistant security measures to ensure safe and resilient communications. Additionally, power efficiency remains a fundamental constraint, particularly for space-based systems with limited energy resources. Advances in semiconductor design, energy-efficient signal processing and intelligent power management solutions will be necessary to maximize the lifespan and efficiency of satellites, user terminals and ground stations. Processing-intensive tasks such as adaptive beamforming, real-time Doppler compensation and AI-driven interference mitigation must be optimized to balance performance with power consumption. Satellite communications are undergoing a major shift as the industry moves away from proprietary technologies toward standardized 3GPP 5G NTN frameworks to enable greater interoperability, scalability and efficiency across space and terrestrial networks. By adopting 3GPP 5G standards, NTN operators can create a unified ecosystem that allows satellite and ground-based networks to function seamlessly together. Standardization enhances service quality, expands global reach and ensures users in remote areas receive the same level of connectivity as those in urban centers. Beyond interoperability, 3GPP 5G NTN introduces technical adaptations that improve satellite network performance. Given the long signal travel times and variable signal strengths inherent in NTN communication, 3GPP introduces enhancements such as advanced error correction, dynamic link adaptation and network slicing to ensure reliable and efficient satellite communications. The future of satellite communication is intertwined with smart edge advancements and the evolution of 5G and 6G, which together enable more intelligent, adaptive networks that optimize connectivity in real time. In parallel, AI integration is transforming satellite constellations into distributed data centers—leveraging the low latency of LEO satellites to process data closer to users, reduce reliance on distant cloud infrastructure and offload compute demands from power-constrained edge devices. As satellite constellations expand and NTN technology matures, truly global, high-speed, low-latency internet access is becoming a reality and a key enabler to future edge AI use cases. This shift will drive economic growth, enhance emergency response and advance digital inclusion—cementing NTNs as a fundamental pillar of modern communication infrastructure. Satellite communications are at the forefront of the next era of global connectivity. By extending network access beyond terrestrial infrastructure, NTNs have the potential to revolutionize industries, bridge the digital divide and enhance emergency response capabilities. However, achieving this vision requires overcoming key technical, regulatory and environmental challenges through continued innovation and collaboration. With advancements in processing technology, the adoption of 3GPP 5G NTN standards and the integration of AI-powered solutions, NTNs are rapidly becoming a necessity. As investment and development accelerate, the dream of seamless, global connectivity is no longer a distant aspiration; it is happening now. The future of communications extends beyond Earth's boundaries, creating new opportunities for people, industries and societies worldwide. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
