Mythic AI is a technology company.
Mythic AI has raised $30.0M across 1 funding round.
Mythic AI has raised $30.0M in total across 1 funding round.
Mythic AI has raised $30.0M in total across 1 funding round.
Mythic AI's investors include 1435 Capital Management, Aglae Ventures, Somesh Surapureddi, Atreides Management, DFJ, E1 Ventures, Family Office, Future Ventures, Gigafund, GoAhead Ventures, Lakeside Capital, Litquidity Ventures.
Mythic AI is a semiconductor company specializing in analog AI compute platforms for efficient edge inference, enabling applications like surveillance, smart appliances, drones, robotics, and machine vision.[1][2][3] It builds products such as the Mythic AMP (Analog Matrix Processor), M1076 processor, M.2 key cards, and Starlight sensing devices, serving sectors including smarter cities, aerospace, AR/VR, automotive, defense, and data centers for real-time AI analytics.[1][2][5] The platform solves the problem of power-hungry AI deployment by using compute-in-memory and analog computing, delivering up to 100x energy efficiency over GPUs while supporting standard frameworks like PyTorch and TensorFlow via an easy SDK.[1][5] With robust funding—including a recent oversubscribed $125M round—Mythic shows strong growth momentum, scaling from early prototypes to next-gen M2000 series and pocket-sized LLMs.[4][5]
Founded in 2012 in Austin, Texas (formerly Isocline Engineering), Mythic emerged from co-founder Laura Fick's PhD thesis at the University of Michigan on analog compute technology.[2][3][4] Laura, Chief Analog Compute Architect, pioneered the core ACE (Analog Compute Engine) alongside her husband Dave Fick (noted as a founder in some records) and later Michael Henry.[3][4] The idea crystallized around tackling AI inference in power-constrained real-world edge environments, blending device physics, machine learning, and processor architecture.[1][3] Early traction came via $9M Series A for product validation, followed by $40M+$3M Series B for development and partnerships, and $70M Series C for M1076 launch and M2000 scaling; pivotal leadership shifts include CEO Taner Ozcelik (ex-NVIDIA automotive GM) driving commercialization.[3][4][5]
Mythic rides the edge AI and inference scaling wave, where power efficiency trumps raw compute amid exploding IoT, robotics, and physical AI demands.[5] Timing aligns with GPU limits in energy-constrained apps (e.g., drones, autos, defense), as market forces favor analog over digital for "inference time scaling" and brain-mimicking efficiency.[1][5] It influences the ecosystem by enabling previously impossible form factors, challenging NVIDIA/Cerebras in edge/datacenter hybrids, and pioneering "sensing at the edge" for mission-critical low-light/noise extraction.[2][5]
Mythic is primed to disrupt AI's GPU dominance with GEN2+ APUs targeting pocket LLMs, robotics, and datacenter inference, fueled by $125M+ total funding.[4][5] Trends like physical AI, energy crises, and offline LLMs will accelerate adoption, evolving its influence from edge specialist to full-stack AI enabler across industries.[5] As the only architecture nearing human-brain efficiency, Mythic unlocks AI everywhere—turning power-hungry dreams into deployable reality.[1][5]
Mythic AI has raised $30.0M across 1 funding round. Most recently, it raised $30.0M Series B in June 2019.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jun 1, 2019 | $30.0M Series B | 1435 Capital Management, Aglae Ventures, Somesh Surapureddi, Atreides Management, DFJ, E1 Ventures, Family Office, Future Ventures, Gigafund, GoAhead Ventures, Lakeside Capital, Litquidity Ventures, Long Journey Ventures, Malex Enterprises, Outliers Fund, Partners Resolute, Social Capital, Space Capital, Starbridge Venture Capital, UpHonest Capital, Adeel Hussain, Fanny Surjana, Ishani Patel, Louis Beryl, Mattia Astori, Priyank Chandra, Rashaun Williams, Richard Cooperstein, Scott Banister, Shane Neman, Siddharth Singhal, Tim Ringel, Vikas Sabnani |