Cognichip
Cognichip builds ACI®, a proprietary physics-informed foundation AI model that automates and parallelizes semiconductor chip design. It sells the full-stack ACI platform through direct enterprise sales to large semiconductor companies, with active engagements at 30+ firms including many global top-20 leaders.
- Company typePrivate
- Founded2024
- HeadquartersRedwood City, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Cognichip does
Cognichip, Inc. is a venture-backed private AI deep tech company founded in 2024 and headquartered in Redwood City, California, with an engineering and research office opened in Toronto, Canada in October 2025. The company builds ACI® (Artificial Chip Intelligence), a proprietary physics-informed foundation AI model that fuses logic and physics-based reasoning to automate and parallelize semiconductor chip design, targeting the structural scaling crisis in chip development (3-5 year design cycles, hundreds of millions of dollars per chip, and a projected 1M+ worker talent shortfall by 2030). ACI is positioned as a full-stack AI-enabled design solution integrating the foundation model, a two-year-governed curated semiconductor dataset, and orchestration infrastructure into customer chip design environments across digital, analog, mixed-signal, and foundry use cases.
Cognichip distributes ACI exclusively through direct enterprise sales to large semiconductor companies and reports active engagements with more than 30 semiconductor firms, including many of the global top 20, with public customer logos undisclosed and revenue still in a pre-commercial, deepening-engagement phase. The commercial model is described as an enterprise AI-powered SaaS platform for chip design workflows, with outcome-linked pricing claims (50% faster design cycles, 75% cost reductions) suggesting potential usage- or performance-based contract structures layered on top of recurring platform access. The company is pursuing SOC 2 Type 2 compliance and GDPR-aligned data practices as procurement prerequisites for IP-heavy semiconductor buyers.
As of April 2026, Cognichip has raised $93 million across a $33 million seed (May 2025, led by Lux Capital and Mayfield) and an oversubscribed $60 million Series A (April 2026, led by Seligman Ventures with participation from SBI Investment and Intel CEO Lip-Bu Tan personally). It employs 51-100 people (40%+ PhDs, multiple Olympiad medalists), is led by 2x IPO CEO Faraj Aalaei alongside co-founders from Apple, Google, and Cisco and the former creator of Synopsys DSO.ai as CPO, and was named to Fast Company's World's Most Innovative Companies of 2026 in Computing alongside NVIDIA, Google, Crusoe, and Nebius.
Cognichip firmographics
Firmographics- Name
- Cognichip
- Legal name
- Cognichip, Inc.
- Website
- https://cognichip.ai
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- Cognichip builds ACI®, a proprietary physics-informed foundation AI model that automates and parallelizes semiconductor chip design. It sells the full-stack ACI platform through direct enterprise sales to large semiconductor companies, with active engagements at 30+ firms including many global top-20 leaders.
- Ownership category
- akta.pro rank
Cognichip industry classification
Industry- Product category
- Electronic Design Automation (EDA) AI Software
- NAICS
- Semiconductor Machinery Manufacturing (333242)
- SIC
- Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Custom & Application-Specific ASIC Design Services (HDAHABAJ)
Keywords
Where Cognichip is headquartered
LocationHeadquarters
- HQ city
- Redwood City
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Cognichip business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales
Revenue model
- Enterprise platform subscriptions / engagements: Pre-commercial revenue stage — company is deepening high-quality enterprise engagements across the global semiconductor ecosystem with 30+ semiconductor companies. Product described as an 'AI-powered SaaS platform for semiconductor design workflows' that integrates into customer chip design environments, consistent with subscription/recurring enterprise SaaS revenue.
- Outcome-based / performance-based enterprise contracts: Customer-facing value claim ties pricing to outcomes (reducing design cycles by 50%, cutting development costs by 75%) — consistent with usage-based or outcome-linked commercial structures typical of high-value enterprise chip design engagements.
Go-to-market motion3 records
Distribution channels2 records
Marketing channels8 records
Cognichip product offering
Product offeringCore offering
Cognichip sells ACI® (Artificial Chip Intelligence), an enterprise AI-powered SaaS platform built on the world's first physics-informed foundation model tailored for semiconductor chip design. It generates RTL (SystemVerilog/Verilog), testbenches, and CML files; automates and parallelizes the traditionally serial chip design workflow; and optimizes power, performance, and area (PPA) for digital, analog, mixed-signal, and foundry designs. The platform is sold to large semiconductor companies and integrated directly into their chip design environments.
Product overview
Cognichip offers a single unified platform — ACI® (Artificial Chip Intelligence) — built on the world's first physics-informed foundation AI model tailored for chip design. Rather than a multi-product suite, ACI is a full-stack AI-enabled design solution that integrates models, curated datasets, and infrastructure into one system delivering generative design, physics-aware optimization, and automated workflow orchestration across digital, analog, mixed-signal, and advanced-node semiconductor designs. The Cognichip Innovators hackathon program is a developer/education offering layered on top of ACI, exposing the same underlying AI capabilities to university students and the broader hardware community for hands-on chip design. Together, ACI's core platform and the Cognichip Innovators ecosystem form the company's product portfolio, targeting both enterprise semiconductor companies (engaging with 30+ firms) and the next generation of chip designers.
Differentiator
Problem solved
Functional benefit
Brands
- ACI® (Artificial Chip Intelligence): Cognichip's physics-informed foundation AI model and full-stack platform for AI-enabled semiconductor chip design, marketed under the ACI® trademark.
Products and services
- ACI® (Artificial Chip Intelligence) ACI® is the world's first physics-informed foundation AI model tailored for semiconductor chip design. It provides designer-level cognitive abilities that understand, learn, and solve chip design problems; fuses logic and physics-based reasoning; generates RTL (SystemVerilog/Verilog), testbenches, and CML files; reduces design effort by up to 75% and accelerates completion by 50%; and transforms the traditionally serial chip design workflow into concurrent, adaptive, and highly automated processes across digital, analog, mixed-signal, and advanced-node designs. Sold to large semiconductor companies via direct enterprise sales and integrated directly into customer chip design environments.
- Cognichip Innovators Hackathon Program An educational and community developer program built on the ACI® platform that enables university students and developers to design and verify ASIC and FPGA systems using AI-assisted RTL (SystemVerilog/Verilog) generation, testbench creation, and CML file output. Demonstrated across NYU, University of Toronto, Texas A&M, BITS Pilani, San José State University, and University of Waterloo; serves as Cognichip's developer-relations and talent-pipeline offering layered on top of ACI®.
Quantifiable outcome
- Reduces chip design cycles by 50% (from many months to days)
- +6 more outcomes
Companies that use Cognichip
Customer profileIdeal customer profiles2 records
Cognichip technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability9 records
Feature7 records
Cognichip partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core research and talent partner, strategic partner for international expansion, strategic host / innovation ecosystem partner, senior scientific advisor and senior ai science advisor.
- University of Torontocore research and talent partnerStrategic research and talent partnership supporting Cognichip's Toronto office. Collaborating with researchers and faculty at U of T, including Prof. Peyman Mohajerin Esfahani (who also serves as Scientific Advisor). Students from U of T participating in Cognichip Innovators Hackathons. U of T is a key talent pipeline for Cognichip's engineering and research teams.
- University of Waterloocore research and talent partnerStrategic co-op education partnership. Hired multiple top-tier students from UWaterloo's co-op program for the September–December 2025 semester with plans to expand in early 2026. Statement from UWaterloo Director of Industry Relations Shabnam Ivković: 'Cognichip's commitment to hiring and mentoring our students strengthens the Toronto-Waterloo innovation corridor.'
- Toronto Globalstrategic partner for international expansionPartner organization that proactively attracts international companies to the Greater Toronto Area. Supported Cognichip's Toronto office expansion. Statement from Toronto Global CEO Stephen Lund: 'When a top venture-backed semiconductor AI company makes Toronto its first international office, that signals something important about our competitive position in AI and deep tech.'
- MaRS Discovery Districtstrategic host / innovation ecosystem partnerCognichip's Toronto office is based within MaRS Discovery District, North America's largest urban innovation hub. Provides access to MaRS's network of researchers, entrepreneurs, and partners. Statement from MaRS Business Development Manager Ian Spence.
- Peyman Mohajerin Esfahani (University of Toronto / TU Delft)senior scientific advisorAssociate Professor at University of Toronto and TU Delft; co-director of the Delft-AI Energy Lab. Joined as Scientific Advisor in August 2025 to advise on systems-first perspective for AI-native design workflows, control theory, optimization, and decision-making under uncertainty. Recipient of IEEE George S. Axelby Outstanding Paper Award, European Control Award, and INFORMS Frederick W. Lanchester Prize.
- Amin Saberi (Stanford Professor)senior ai science advisorDirector of Stanford's Language, Data, and Reasoning Lab and Co-Director of Stanford's Center on Computational Market Design. Joined as AI Science Advisor in July 2025 to advise on ACI®'s algorithmic core, scalability, and adaptation across diverse chip design tasks. Authored 170+ academic publications; back-to-back ACM EC Test of Time Awards in 2024 and 2025.
Scale indicators9 records
Recent moves7 records
Expansion highlights6 records
Cognichip competitors and assessment
Company assessmentEmerging players
- Tenstorrent: Tenstorrent is an AI semiconductor startup building RISC-V-based AI accelerators, with both an AI-chip design business and an emphasis on AI-driven chip design methodology. Compares to Cognichip as an emerging player using AI extensively in chip design and operating in adjacent parts of the same semiconductor ecosystem (also a portfolio company of SBI, which invested in Cognichip).
- Cerebras Systems: Cerebras builds wafer-scale AI accelerator chips and develops significant proprietary tooling for AI-driven chip design and verification of its own processors. An emerging AI-in-semiconductor peer with comparable founding-era characteristics (high capital intensity, ambitious design-tooling agenda).
- EdgeCortix: EdgeCortix is a Japan-based AI semiconductor startup focused on energy-efficient edge-AI accelerators, and is also part of the SBI Holdings investment portfolio alongside Cognichip. An emerging AI-chip peer whose design tooling ambitions and semiconductor focus make it thematically comparable.
Broad incumbents
- Applied Materials: Applied Materials is a semiconductor manufacturing equipment leader increasingly investing in AI-driven materials engineering and process optimization for chip fabrication. Adjacent to Cognichip's design-stage AI focus, with potential overlap in design-for-manufacturing intelligence and physics-based modeling.
- Ansys: Ansys is a broad engineering-simulation incumbent (multiphysics, electronics, semiconductors) increasingly integrating AI into simulation and design-optimization workflows. Overlaps with Cognichip in physics-informed modeling for chip and system design, though Ansys serves a much broader engineering customer base beyond semiconductors.
- Altair Engineering: Altair is an engineering software and simulation incumbent that has invested in AI-augmented design and digital-twin workflows. It overlaps with Cognichip in physics-aware simulation and design optimization, though it is broader in scope (mechanical, electrical, systems) rather than semiconductor-specialized.
- Siemens EDA (Siemens Digital Industries): Siemens EDA (formerly Mentor Graphics) is the third pillar of the EDA oligopoly, providing IC design, verification, and PCB tools with growing AI capabilities across its portfolio. Overlaps with Cognichip across analog/mixed-signal design and verification workflows, and competes for the same enterprise design-tool budgets.
Direct peers
- Cadence Design Systems: Cadence is the second major EDA incumbent, with its own AI-driven chip design tool (Cerebrus Intelligent Chip Explorer) and a long-standing position across digital, analog, and mixed-signal design flows. Competes head-to-head with Cognichip for the same enterprise chip-design budgets and customer relationships.
- Synopsys: Synopsys is the leading EDA incumbent and the developer of DSO.ai, the first commercial AI application for chip design — Cognichip's CPO Stelios Diamantidis originated DSO.ai while at Synopsys. It is the most directly comparable competitor on AI-driven chip design, serving the same semiconductor customer base with a deeply entrenched installed base.
Regional players
- Preferred Networks: Preferred Networks is a Japan-based AI and semiconductor company developing AI accelerators and edge-computing hardware; also part of the same SBI Holdings portfolio that invested in Cognichip's Series A. An emerging regional AI-chip peer with comparable ambition in AI-driven semiconductor design, primarily serving the Japanese ecosystem.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks3 records
Key highlights7 records
Customer concentration
Cognichip social profiles
Digital presenceCognichip compliance and trust
Trust signalCompliance2 records
Cognichip financial estimates
Financial estimateRevenue estimate
Valuation estimate
Cognichip leadership team
Management profileNumber of profiles
Profiles12 records
Cognichip funding detail
Funding detailFunding overview
Funding rounds3 records
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Cognichip M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Cognichip
What does Cognichip do?
Cognichip sells ACI® (Artificial Chip Intelligence), an enterprise AI-powered SaaS platform built on the world's first physics-informed foundation model tailored for semiconductor chip design. It generates RTL (SystemVerilog/Verilog), testbenches, and CML files; automates and parallelizes the traditionally serial chip design workflow; and optimizes power, performance, and area (PPA) for digital, analog, mixed-signal, and foundry designs. The platform is sold to large semiconductor companies and integrated directly into their chip design environments.
Is Cognichip a public or private company?
Cognichip is a private company. It is classified as venture growth investor backed and is currently operating.
When was Cognichip founded?
Cognichip was founded in 2024. It employs 51 to 100 people.
Where is Cognichip based?
Cognichip is headquartered in Redwood City, United States, in the North America region.
How does Cognichip make money?
Two revenue lines are on record. Enterprise platform subscriptions / engagements are the primary driver. The others are outcome-based / performance-based enterprise contracts.
Who are Cognichip's main competitors?
Emerging players on record are Tenstorrent, Cerebras Systems and EdgeCortix. Broad incumbents are Applied Materials, Ansys, Altair Engineering and Siemens EDA (Siemens Digital Industries). Direct peers are Cadence Design Systems and Synopsys. Preferred Networks is listed as a regional player.
Does Cognichip have an API?
No public API is recorded for Cognichip.
What industry is Cognichip in?
Cognichip's product category is Electronic Design Automation (EDA) AI Software. Its primary akta.pro industry code is HDAHABAJ, Custom & Application-Specific ASIC Design Services. Its NAICS code is 333242 and its SIC code is 7373.