Closing the Verification Gap

AI-Powered Requirement Verification
for FPGA Designs

Stop verification escapes before they reach production. certiqo.ai uses Large Language Models to bridge the gap between natural-language requirements and HDL implementations.

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The Hidden Cost of FPGA Verification

Traditional verification methods catch coding errors, but miss the most critical issue: requirements that are never properly implemented.

84%
of FPGA bugs escape to production due to requirement issues
Source: Wilson Research Group (2022)
14%
of projects achieve first-silicon success, the lowest in two decades
Source: Wilson Research Group (2024)
≥80%
reduction in manual verification effort
Target: Project KPI goal

Semantic Understanding Meets FPGA Verification

Go beyond keyword matching. certiqo.ai understands design intent and verifies implementations at the semantic level.

🧠

Semantic Requirement Matching

Automatically verifies that HDL code implements specified requirements, even when variable names and comments differ from requirement text.

Real-Time IDE Integration

VS Code extension provides instant feedback as you code. See requirement compliance status without leaving your development environment.

📊

Project-Wide Dashboard

Web-based compliance tracking shows requirement coverage across your entire project. Perfect for certification and audit trails.

🔒

Secure On-Premises Deployment

Your code never leaves your infrastructure. Run on-premises using open-weight models for complete data sovereignty.

🎯

FPGA-Specialised Analysis

Understands HDL-specific patterns: clock domain crossings, metastability protection, timing constraints, and resource utilisation.

🔄

Continuous Verification

Integrates with CI/CD pipelines. Automatically re-verifies requirements as code changes, catching regressions immediately.

How It Works

certiqo.ai seamlessly integrates into your existing workflow

1

Define Requirements

Create structured requirements in JSON format or import from existing tools like Jira or DOORS.

2

Develop HDL Code

Write VHDL, Verilog, or SystemVerilog as usual. The VS Code extension monitors your files automatically.

3

Automatic Analysis

LLMs analyse your code against requirements, identifying implementations and detecting gaps or contradictions.

4

Review Results

See compliance status in real-time, with highlighted code sections showing where requirements are met.

See the Prototype in Action

Watch a demonstration of certiqo.ai analysing FPGA requirements and highlighting code implementations in real-time.

Interested in certiqo.ai?

This project is currently in development.
Get in touch to learn more about our progress and how it could benefit your organisation.

Ingrid Folland - Project Management

ingrid@japeto.ai

Adam Taylor - Systems Engineering

adam@adiuvoengineering.com