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§ Private Profile · San Jose, CA, USA
Recogni is a technology company.
Recogni, now operating as Tensordyne, builds generative AI inference systems optimized for data centers. The company’s core product involves re-engineered AI mathematics and custom silicon, culminating in integrated systems designed for exceptional power efficiency and performance. By building AI solutions from the foundational layers, they aim to deliver high-throughput, low-latency processing capabilities for demanding artificial intelligence workloads.
The company was founded in 2017 by RK Anand and Gilles Backhus. Their vision emerged from the recognition that conventional approaches to AI inference were becoming prohibitively expensive and power-intensive, particularly as models grew in complexity. Anand, with his background in product leadership, and Backhus, specializing in AI, sought to rethink the underlying mathematical and silicon architectures to address these critical scaling challenges.
Tensordyne targets data centers and enterprises grappling with the operational costs and energy demands of large-scale AI inference. The company's long-term vision is to democratize advanced AI by making it simpler, more affordable, and dramatically more efficient. This approach allows customers to focus on innovation and deploying sophisticated AI models without being constrained by infrastructure overheads, fostering a future where intelligence is accessible and sustainable.
Recogni has raised $176.0M across 3 funding rounds.
Recogni has raised $176.0M in total across 3 funding rounds.
Recogni has raised $176.0M across 3 funding rounds. Most recently, it raised $102.0M Series C in November 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Nov 12, 2024 | $102M Series C | Celesta Capital, GreatPoint Ventures | — | Announced |
| Feb 1, 2021 | $49M Series B | — | LAM Research Capital | Announced |
| Jul 31, 2019 | $25M Series A | GreatPoint Ventures | — | Announced |
Recogni is a technology company that develops advanced multimodal AI inference systems primarily designed to accelerate generative AI models while drastically reducing power consumption. Their core product leverages a proprietary logarithmic number system called Pareto AI Math, which enhances AI model inference accuracy and efficiency. Recogni serves hyperscalers, cloud service providers, enterprises, and the automotive industry, addressing the high computational costs and energy demands of generative AI and autonomous vehicle perception systems. The company has demonstrated strong growth momentum, securing over $175 million in funding and maintaining a revenue run-rate of $50–60 million as it expands into new verticals like data centers and generative AI[1][2][5][6].
Founded in 2017 in San Jose, California, Recogni initially focused on designing AI chips for the automotive market, specifically for autonomous vehicles' vision inference. The founding team brought expertise in AI hardware and automotive systems, developing chips that balance high performance with low power consumption to extend vehicle range. Early challenges included adapting to pandemic disruptions, but the company quickly achieved a fully functional 7nm chip within 14 months, leveraging partnerships with Cadence and Google Cloud for design and verification. Over time, Recogni expanded its focus to include AI inference solutions for data centers and generative AI, reflecting a strategic pivot to capitalize on faster-growing markets[3][6].
Recogni rides the convergence of two major trends: the rapid expansion of generative AI applications requiring efficient inference hardware, and the ongoing development of autonomous vehicle perception systems demanding low-power, high-accuracy AI chips. The timing is critical as generative AI models grow larger and more computationally intensive, creating demand for energy-efficient accelerators. Recogni’s technology addresses these market forces by enabling more sustainable AI operations in data centers and advancing autonomous vehicle capabilities. Their dual focus positions them as a key player influencing both AI infrastructure and automotive AI ecosystems, bridging the gap between cutting-edge AI research and practical, scalable deployment[1][2][6].
Looking ahead, Recogni is poised to accelerate its commercial growth by deepening its presence in generative AI data centers while continuing to innovate for autonomous vehicle markets. Trends such as increasing AI model complexity, sustainability concerns, and the gradual maturation of autonomous driving technologies will shape their trajectory. With a strong funding base and leadership experienced in scaling technology businesses, Recogni’s influence is likely to expand as it delivers high-performance, low-power AI inference solutions that meet the evolving needs of both cloud and automotive sectors. Their ability to leverage a unified architecture across diverse applications offers a compelling competitive advantage for future growth[5][6].
Recogni has raised $176.0M in total across 3 funding rounds.
Recogni's investors include Celesta Capital, GreatPoint Ventures, Lam Research Capital.