VerifAIX
Category: AI Developer Tools
AI-native semiconductor verification startup building a "Formal Brain" platform that combines AI reasoning with formal methods to verify AI-driven chip designs. VerifAIX was founded in 2024. The company is led by Madhulima Tewari. Based in Cupertino, California, USA. Team size: 11-50. Total funding raised: $5M. Latest round: Seed. Key investors include Endiya Partners, Bluehill VC, Vin Dham.
- Founded
- 2024
- Headquarters
- Cupertino, California, USA
- Team size
- 11-50
- Total funding
- $5M
Value proposition
VerifAIX builds an AI-native verification platform for semiconductor design that combines AI-based reasoning with deterministic, mathematically rigorous formal verification methods. Its "Formal Brain" creates a mathematically grounded representation of a chip design and its intended behavior, automatically generating testplans, assertions, and testbenches from specifications, and orchestrating verification to exhaustively validate design functionality.
Products and solutions
Formal Brain AI Verification platform — spec-first agentic AI that turns specifications and RTL into executable verification plans, testbenches, assertions, and coverage closure workflows, AI software solutions for modern design environments, AI debug agent for RISC-V regression debugging
Unique value
Unlike approaches that primarily use LLMs to generate verification code, VerifAIX combines AI reasoning with formal methods to create a "verification trust layer" that connects design specifications, RTL and verification assets, enabling traceable verification from design intent to closure. Its spec-first agentic AI turns specifications and RTL into executable verification plans, testbenches, assertions, and coverage closure workflows.
Target customer
Semiconductor companies building custom silicon, SoCs, and multi-die systems; engineering teams needing to verify increasingly complex chips with greater speed and rigor
Industries served
Semiconductor / chip design, electronic design automation (EDA), RISC-V ecosystem
Technology advantage
Combines AI-based reasoning with deterministic, mathematically rigorous formal verification methods. The "Formal Brain core engine scales automated abstraction and decomposition to handle massive and complex chip architectures, streamlining simulation and formal analysis capabilities. Integrates specification-to-RTL reasoning, automated decomposition/abstraction, and coordinated formal and simulation verification while maintaining traceability to design intent.
How they differentiate
Differentiates by combining AI-based reasoning with deterministic, mathematically rigorous formal verification methods rather than just using LLMs to generate verification code. Its "Formal Brain" creates a mathematically grounded representation of chip design and intended behavior, providing completeness, correctness, and traceability from design intent to closure.
Main competitors
Cadence, Synopsys, Siemens EDA
Key partnerships
RISC-V International (published AI debug agent blog, presented at RISC-V Summit), Aarti Gupta (Princeton) as Founding Consultant, Vin Dham (Intel Pentium pioneer) as Founding Advisor
Major milestones
Founded 2024 by Madhulima Tewari, Kenneth Roe, and Avner Landver, raised $5M seed round co-led by Endiya Partners and Bluehill VC (announced September 16, 2026), published AI debug agent for RISC-V regression debugging with RISC-V International, presented at RISC-V Summit
Market positioning
Early-stage AI-native semiconductor verification startup entering a market dominated by established EDA players (Cadence, Synopsys, Siemens EDA). Positioned as a verification trust layer for AI-driven chip design, targeting the critical bottleneck of verifying increasingly complex AI-accelerated chip designs.
Geographic focus
US (Cupertino, CA), India, Israel
About Madhulima Tewari
Madhulima Tewari has experience spanning AI/NLP, enterprise software, and semiconductor EDA. She is the founder and CEO of VerifAIX.
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Official website: https://verifaix.com/