VeriForj
Building trust in AI with precision and clarity.
Verify AI. Forj Robustness.
VeriForj is a platform for AI robustness and safety.
Upload a model, run targeted tests, and see where it fails before your customers or regulators do. We combine automated stress-testing, synthetic data, and clear reports so you can prove your models are reliable, explainable, and production-ready.
VeriForj hunts for brittle behaviour, bias, and hidden failure modes by pushing your models into adversarial and out‑of‑distribution scenarios. It generates targeted synthetic data around real weaknesses, reruns the tests, and shows you how your model improves over time. The result is a repeatable workflow you can show to engineers, risk teams, and regulators as real evidence that your AI is safe and ready for the real world.
See the edge cases your usual tests miss.
Our Services
Cutting-edge AI robustness testing tailored for your future-ready systems.
VeriForj: Verify
Stress‑test your models with targeted attacks to uncover robustness gaps and failure modes before your users do.
Run adversarial and edge‑case tests without changing your stack.
See where your model breaks, how confident it is, and why.
Get clear scores and visualisations you can share with engineering, risk, and compliance teams.
VeriForj: Generate
Generate targeted training data around real failure points.
Balance classes, harden against edge conditions, and close blind spots.
Re‑run Verify to prove your model actually improved.
Transform real‑world failures into targeted synthetic data that closes robustness gaps fast.
Launch List
We’re currently working closely with a small group of early partners.
If you’d like to be one of the first to try VeriForj when we open access more widely, join the launch list below and we’ll email you as soon as we’re ready.
Join as an Early Partner
We’re welcoming a small number of early partners. Enjoy custom pricing, higher usage limits, and direct input into the VeriForj roadmap. Get in touch below!
Your use cases and constraints feed directly into our design and prioritisation.
Work with the founder/engineering team directly.
Lock in favourable pricing and quotas that reflect the extra effort you’re investing now.
Co‑create case studies and internal reports you can share with leadership, customers, or regulators.
As a partner you will get early access, priority support, and influence product direction
Tell us about your use case and we’ll follow up with a short call and a proposed early‑access plan.
Run, or plan to run, machine learning in production.
Care about robustness, safety, and regulatory alignment (EU AI Act, NIST AI RMF, etc.).
Are willing to try early versions and give honest feedback.