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DAC 2026
Booth #854
AI-Powered Verification for the
Next Generation of Bug-Free Chips
Spec-first agentic AI that turns specifications and RTL into executable verification plans, testbenches, assertions, and coverage closure workflows.
Powered by a "formal brain" model that delivers completeness, correctness, and confidence that prioritizes a correct specification from the ground up and is coverage-driven from the start. We connect to the EDA tools your team already trusts, and are designed to accelerate verification closure without disrupting the flows you have built.
AI-Powered Verification for the
Next Generation of Bug-Free Chips
Spec-first agentic AI that turns specifications and RTL into executable verification plans, testbenches, assertions, and coverage closure workflows.
Powered by a formal brain model that delivers completeness, correctness, and confidence that prioritizes a correct specification from the ground up and is coverage-driven from the start. We connect to the EDA tools your team already trusts, and are designed to accelerate verification closure without disrupting the flows you have built.
Verification Is the Bottleneck in Modern Chip Development. AI Is the Answer But Only When It Is Grounded.
Chip design complexity is accelerating faster than verification capacity. When spec gaps find their way into RTL, manual testbench creation can take months and introduce errors, coverage blind spots can go undetected, and bugs can reach silicon where they are most costly to fix.
Without a precise understanding of your specific design, ungrounded AI generates testbenches and assertions by pattern-matching from training data, with no connection to your specification or RTL. It can be difficult to trace why a generated test fails, and coverage that appears complete may not tell the full story. Without an independent ground truth, it is hard to know when verification is truly done.
Growing Complexity
Chiplets, 3D systems, AI accelerators, and complex SoC integration are outpacing what manual verification can handle.
Shrinking Schedules
Teams need to close verification faster with fewer experienced engineers. This creates pressure that drives coverage gaps and late-cycle bug discovery.
Ungrounded AI
An AI that generates and checks its own verification output has no independent ground truth reference. Silicon and hardware must be deterministic and have proofs and correctness, an ungrounded AI solution is probabilistic by nature and can introduce errors that can easily propagate to silicon.
The VerifAIX Solution - A Formal Brain at the Heart of Every Verification Decision
VerifAIX combines the power of AI with an independent formal brain model to deliver verification at a speed and scale no manual process can match. VerifAIX AI Agents collaborate from spec audit through closure while preserving traceability, automatically generating test plans, testbenches, assertions, and coverage models from your design inputs.
The formal brain model of your design, grounded in fundamental engineering principles, makes every AI-generated output trustworthy. The result is 10X+ productivity gains, 10X+ cost reduction through less late-cycle bug discovery and fewer silicon re-spins, and higher confidence because spec intent traces to coverage and assertions with full verification evidence.
VerifAIX reads all of your design inputs together, your specification, your RTL, and your existing testbenches, and before generating anything it identifies gaps and inconsistencies between what the specification says and what is actually implemented. It brings those findings back to the user for review and resolution. The result is a specification that is proven, agreed upon, and drives all downstream outputs with confidence.
Completeness
Every generated artifact traces back to a specific requirement in your spec. When every spec line maps to a test plan item, you can prove coverage rather than just claim it.
Correctness
AI-generated outputs are validated against the formal brain model using deterministic, hardware-aware analysis. Errors are caught before execution, not after.
Confidence
Spec intent traces to coverage and assertions with full verification evidence, giving your team the clarity to know when verification is truly complete.
Read Our Blog
Get insights, trends, and real stories shaping AI verification and semiconductor design.
Let’s Talk
Want to know more about how Verifaix fits into your process? Reach out to start the conversation.
What Our Clients Say
Spec-based verification is critical for ensuring design correctness and architectural compliance.
-Verification Architect at AI accelerator company
Verifaix gives us confidence that our IP aligns with the protocol spec and integrates into the SoC without silicon bugs.