/Companies

Mythic AI

Palo Alto, US · Founded 2012 · 98 employees on LinkedIn · 23 known investors

Find your way into Mythic AI

Sign up to find every way you can get introduced to Mythic AI

  • Your email: who you already know at Mythic AI, and who your contacts know
  • 2nd- and 3rd-degree connections: people you know who worked, studied or invested with the Mythic AI team
  • Your LinkedIn: the connections who can make the intro for you

We rank every route by how warm it is, so you raise on warm intros instead of cold emails.

Mythic builds analog processing units based on compute-in-memory architecture designed to run AI workloads efficiently in real-world applications. The company develops semiconductor hardware combining analog compute and digital dataflow architectures for AI inference.

Also known as Isocline · Mythic Inc.

Founders & leadership

TOTaner Ozcelik
Taner OzcelikCEO / Board MemberFounder at Mythic
SPSteven Pho
Steven PhoCFO
LF
Laura FickFounding Engineer
MP
Malav ParikhFounding Engineer

Investors · 23

Also in the syndicate · 3

Honda Motor Co.SoftBank KRUDC Ventures

Funding

SEC filings, press & company announcements

Source: company announcements and press reports — follow each round's link for the claim.

Company profile

researched Aug 2026

Mythic Inc. is a semiconductor company developing analog processing units (APUs) based on a compute-in-memory architecture. Its technology stores analog values on arrays of Flash transistors, driven at 256 sub-threshold levels to achieve 8-bit computation, allowing matrix multiplication for AI inference to be performed inside memory rather than by shuttling data to and from separate memory. Substantial calibration and compensation schemes are used to keep the analog behaviour reliable across environmental conditions. The architecture combines compute-in-memory, a dataflow design and analog computing in a tile-based structure, paired with an SDK that prepares trained neural networks for deployment, performs automatic optimization and compilation of dataflow graphs, and supports models from PyTorch, TensorFlow and ONNX.

The company shipped two first-generation chips aimed at video analytics in drones, video surveillance and industrial machine vision: the M1108 (35 TOPS INT8, 4 W, launched 2020) and the M1076 (25 TOPS INT8, 3 W, launched 2021). Following a 2022 restructuring and a change of leadership, the architecture, roadmap, software and strategy were rebuilt. Next-generation products are chiplet-based, ranging from a single 120-TOPS (INT8) vision chiplet consuming under 1 W to four- and 16-chiplet configurations for larger edge workloads, targeting robotics, automotive and defense. The architecture supports 8-bit and 4-bit computation for up to 30 million parameters per chiplet and includes an on-chip DSP to handle unsupported operators; a Flash-based analog compute die and a digital control die are 3D-stacked. A separate product family called Starlight hybrid-bonds a Mythic compute chiplet under a vision sensor's photodiode array, with both dies together drawing less than 1 W, to improve low-light performance and dynamic range at the sensor. Mythic is also planning a 1,024-chiplet design on a single substrate and a rack-scale server system for data-center LLM inference.

Founding story

Mythic was founded in 2012 to commercialize analog compute-in-memory technology, originating at the University of Michigan under the name Isocline and co-founded by Dave Fick and Mike Henry. Co-founder Laura Fick developed the analog compute technology as part of her PhD thesis at the University of Michigan and was a founding engineer. The company initially worked on U.S. Air Force projects through the Small Business Innovation Research program, focused on computer vision for high-altitude drones and GPS signal acquisition, before pursuing venture capital financing.

Business model

Mythic designs and sells AI accelerator silicon and accompanying software. Products span standalone edge inference chips, chiplet-based accelerators, an integrated sensor-plus-accelerator product (Starlight), and planned rack-scale server systems for data-center inference, supported by an SDK and compiler that ingest models from common training frameworks.

Traction

First-generation chips M1108 and M1076 were launched in 2020 and 2021 respectively for video analytics applications. Lockheed Martin is described as the company's largest customer to date. Ahead of the December 2025 funding announcement, Mythic tested the APU on large language models and reported that APU-powered servers can process up to 750 times more tokens per second than graphics cards; management projects two orders of magnitude better TCO per token than Nvidia Blackwell-generation hardware for 70B models. Total outside funding is reported at more than $175 million.

Latest developments

In December 2025 Mythic announced a $125 million round led by DCVC with participation from NEA, SoftBank KR, Honda Motor and Lockheed Martin, among others. The company is developing chiplet-based next-generation APUs, the Starlight sensor-integrated accelerator, a 1,024-chiplet substrate design and a rack-scale server system for data-center LLM inference, and says future APUs will let low-power devices such as smartphones run LLMs locally at a level comparable to GPT-3. Both the accelerator chiplet and the image sensor product are slated to tape out in 2026.

▸Full profile — market position, technology, go-to-market, geography, history, risks & controversies

Market position

Mythic competes in a crowded edge AI chip market alongside startups including SiMa.ai, Axelera, Flex Logix, NeuReality, EnCharge, Hailo and Kneron, and positions its planned data-center systems against Nvidia on total cost of ownership and power consumption.

The company claims very high performance per watt from analog compute-in-memory — more than 4 TOPS/Watt on first-generation parts and, per company claims, up to 100x the performance per watt of traditional graphics cards — along with single-frame latency at batch size 1 and the ability to use more mature, lower-cost process nodes than bleeding-edge digital designs. Low power and thermal output allow 3D stacking and placement of a compute chiplet directly beneath an image sensor's photodiode array, which the company says is not feasible for a conventional DSP.

Technology

Analog compute-in-memory using Flash transistors that store analog values, operated at 256 sub-threshold levels for 8-bit compute, with heavy calibration and compensation to maintain accuracy. Data is represented as fluctuations in a continuous electrical signal rather than discrete digital signals, and model layers can be executed in parallel. Designs pair a Flash-based analog compute die with a digital control die in a 3D-stacked configuration; next-generation parts are chiplet-based and support 8-bit and 4-bit computation with an on-chip DSP for unsupported operators. Future generations are planned to add NAND-Flash-based arrays alongside the existing NOR version to fit larger models on a chiplet. The software toolkit compiles and optimizes dataflow graphs, applies quantization and can retrain models for the APU.

Go-to-market

Following its 2023 restructuring the company refocused on defense as its primary vertical, with secondary emphasis on public safety, industry and consumer applications, and increased reliance on development partners and off-the-shelf components to reduce cost and time to market. It plans to build the Starlight sensor and AI accelerator combination itself, with both the accelerator chiplet and the image sensor product scheduled to tape out in 2026.

Systems builders in defense, robotics, automotive, video surveillance, public safety, industrial machine vision and consumer devices, plus prospective data-center operators running large language model inference. Lockheed Martin has been described as the company's largest customer to date; its corporate venture arm is also an investor.

Geography

Headquartered in Austin, Texas, with an India organization headed by a VP of Mythic India and an Israel Sensor Innovation Center led by a VP; a legal executive is based in Portland. The leadership page also lists the CEO of videantis, a German-founded video processing platform company.

History

After raising more than $170 million across multiple rounds from investors including Hewlett Packard Enterprise and BlackRock, Mythic reportedly ran out of capital in November 2022 and underwent a radical restructuring and downsizing at the end of that year after failing to raise. In March 2023, existing and new investors provided $13 million and co-founder and former CTO Dave Fick, who had succeeded departing CEO Mike Henry, was appointed CEO. Under Fick the company cut costs by using more development partners and off-the-shelf components and refocused its go-to-market on defense, alongside public safety, industrial and consumer verticals, while preparing a next-generation chip called the M2000. Taner Ozcelik, previously at Nvidia and ON Semiconductor, joined as CEO in mid-2024 and led a rebuild of the architecture, roadmap, software and strategy; he has said the first-generation implementation left on-chip RISC-V processors near full utilization, lacked on-chip DACs and used ADCs of insufficient resolution, and that the first chip was taped out before the software stack was sufficiently developed. In December 2025 the company announced a $125 million round led by DCVC.

Risks & controversies

Mythic reportedly ran out of capital in November 2022 and carried out a radical restructuring and downsizing after failing to raise, before a $13 million rescue financing in March 2023. Current CEO Taner Ozcelik has publicly described prior leadership as having made significant technical and strategic errors, including taping out the first chip without a developed software stack, and said he identified 17 issues with the company's approach and technology before taking the job. The company operates in a crowded edge AI silicon market amid tighter semiconductor venture funding, and its stated data-center performance and TCO advantages are company claims rather than independently verified results.

Compiled by commissioned research from 6 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Chiplet parameter capacityJan 202630,000,000 parameters per chiplet
Headcount rangeJan 2025151 to 250
M1076 performanceJan 202125 TOPS INT8
M1076 power consumptionJan 20213 W
M1108 performanceJan 202035 TOPS INT8
M1108 power consumptionJan 20204 W
Next-generation single chiplet performanceJan 2026120 TOPS INT8
Performance per watt (first generation)Jan 2025>4 TOPS/Watt
Total outside fundingDec 2025$175M

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Timeline · 8

launches, deals, and filings
Dec 2025
Mythic raises $125M led by DCVC

Mythic announced a $125 million funding round led by DCVC, joined by NEA, SoftBank KR, Honda Motor Co., Lockheed Martin and other backers, bringing total outside funding to more than $175 million.

$125M source ↗

Dec 2025
Starlight product announced

Starlight combines multiple APUs consuming under one watt in total, hybrid-bonded beneath a vision sensor's photodiode array, for embedding in edge systems such as robots to improve image sensor data quality.

source ↗

Jan 2024
Taner Ozcelik joins as CEO

Taner Ozcelik, previously of Nvidia and ON Semiconductor, joined Mythic as CEO in mid-2024; he is listed as Chairman & CEO.

source ↗

Mar 2023
Mythic closes $13M financing

Mythic closed a $13 million round led by existing investors Atreides Management, DCVC and Lux Capital, with new investors Catapult Ventures and Hermann Hauser Investment, after reportedly running out of capital in late 2022.

$13M source ↗

Mar 2023
Dave Fick appointed CEO

Co-founder and former CTO Dave Fick was appointed CEO following the departure of co-founder and prior CEO Mike Henry.

source ↗

Jan 2022
Restructuring and downsizing

Mythic underwent a radical restructure and downsizing at the end of 2022 after failing to raise capital, having reportedly run out of funds in November 2022.

source ↗

Jan 2021
M1076 analog compute chip launched

First-generation chip delivering 25 TOPS INT8 at 3 W, targeted at computer vision use cases such as detecting small objects at distance.

source ↗

Jan 2020
M1108 analog compute chip launched

First-generation chip delivering 35 TOPS INT8 at 4 W for video analytics applications.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

▸Research sources · 6

primary sources listed

6 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Mythic AI do?
Mythic builds analog compute-in-memory processors for AI inference at the edge and, increasingly, in data centers.
Who are Mythic AI's investors?
Mythic AI's investors include Catapult Ventures, Linse Capital, New Enterprise Associates (NEA), S3 Ventures, Atreides Management, DCVC (Data Collective), Lockheed Martin Ventures, SBVA and 12 more.
Where is Mythic AI headquartered?
Mythic AI is headquartered in Palo Alto, US.