VerifAIX
VerifAIX provides a spec-first agentic AI platform that converts design specifications and RTL into executable verification plans, testbenches, assertions, and coverage closure workflows for semiconductor development. The platform uses a "formal brain" model grounded in engineering principles to detect gaps between specification and implementation before generating verification artifacts, with every output traced to specific requirements. It integrates with existing EDA tools and targets complex designs including chiplets, 3D systems, and AI accelerators.
- Semiconductor
- Artificial Intelligence
- AI Agents
- Developer Tools
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Verification has become the bottleneck in modern chip development as design complexity outpaces verification capacity. Manual testbench creation can take months and introduce errors, coverage blind spots go undetected, and bugs reach silicon where they are most costly to fix. Ungrounded AI that pattern-matches from training data without a precise understanding of the specific design generates unreliable testbenches with no traceable connection to the specification.
Solution
VerifAIX provides a spec-first agentic AI platform that turns specifications and RTL into executable verification plans, testbenches, assertions, and coverage closure workflows. At the heart of the solution is a "formal brain" model—a formal representation of the design grounded in fundamental engineering principles that serves as an independent ground truth for every verification decision. The platform reads all design inputs together—specification, RTL, and existing testbenches—and identifies gaps and inconsistencies between what the specification says and what is actually implemented before generating anything. These findings are brought back to the user for review and resolution, ensuring the specification is proven and agreed upon before driving all downstream outputs. The result is 10X+ productivity gains, 10X+ cost reduction through fewer late-cycle bugs and re-spins, and higher confidence because spec intent traces to coverage and assertions with full verification evidence.
Target Audience
Primary customers are semiconductor companies developing complex SoCs, multi-die systems, chiplets, and AI accelerators that need to close verification faster with fewer experienced engineers while maintaining high confidence in design correctness.
Features
- Formal brain model provides an independent ground truth for verification, ensuring completeness and correctness grounded in engineering principles rather than probabilistic pattern-matching
- Gap and inconsistency detection between specification and RTL before artifact generation, with findings returned to users for review and resolution
- Generates executable verification plans, testbenches, assertions, and coverage closure workflows directly from natural language specifications
- Coverage-driven from the start with every generated artifact traced back to a specific requirement in the spec, enabling proof of coverage rather than mere claims
- Integration with existing EDA tools that teams already trust, accelerating verification closure without disrupting established flows
- Designed for cyphers including chiplets, 3D systems, AI accelerators, and complex SoC integration