4+
End‑to‑end
use case studies
6
Popular ML
frameworks supported
3
Major MLOps
platforms integrated
Key Features
End‑to‑end, domain‑aware verification for staging AI Models.
Domain‑Driven Specifications
Specify variable ranges, constraints and conditional rules in a concise YAML to embed your domain expertise directly.
Search-Based Approach
Leverage metaheuristics to synthetize novel, out‑of‑distribution samples for stress tests.
Interactive Reporting
Explore verification results in rich HTML reports with tables, charts and statistical insights.
ML Frameworks Compatibility
Native support for TensorFlow, PyTorch, scikit‑learn and other leading ML libraries.
MLOps Platform Integration
Pull models from CI/CD or MLOps platforms, then push back verification reports automatically.
AI‑Assisted Domain Builder
Get domain‑YAML suggestions powered by LLMs to accelerate rule creation and validation.
House Pricing Validation
Verify the pricing model based on logical housing market trends
- Enforce property feasibility—ensure lot size, living area and bedroom/bathroom requirements.
- Reveal pricing anomalies—violate domain logic, e.g., condition-grade trends, waterfront/view premiums, renovation timing, property age, and living-area impacts.
- Stress‑test on edge cases—extreme property profiles e.g., minimal lot-to-living-area ratios, under- or over-renovated homes.
Loan Eligibility Model Verification
Check insolvency estimates against financial and compliance policies
- Enforce financial consistency—validate debt-to-income (DTI) ratios and credit history shifts (liens, bankruptcies across every test case.
- Reveal repayment anomalies—risk estimates that contradict business rules on homeownership status, credit management trends, and repayment behavior.
- Stress-test extreme borrower profiles—high-DTI short-term loans, subpar credit records, and icome loss.
GitHub Community
Join us — follow, discuss, and contribute
- ⭐ Star the repo to show your support
- 🐛 Open issues for bugs & feature requests
- 🔀 Submit pull requests to contribute
- 👀 Follow for the latest updates
Help Us Grow
Community backing keeps VerifIA actively maintained.
Together, we ensure that every AI model in production is fully verified.
VerifIA is a Canadian non-profit organization with a clear mission:
Ensuring every AI model in production is fully verified.
Turning vision into reality through a collaborative community that:
A) Develops and maintains open‑source verification tools
B) Partners with industry leaders to shape standards
C) Hosts events, workshops, and training sessions