Prove Your AI Works

Expert guidance to validate, govern, and operate AI you can trust.

Get expert help building enterprise AI governance aligned with NIST and CHAI.

Work with your team to test, evaluate, and monitor generative AI — safely and at scale.

Build the foundation for trustworthy AI with training, evaluation, and a roadmap tailored to your organization’s mission and risks.

AI Audit

A third-party professional audit service to assess your AI system’s accuracy, safety, bias, and regulatory compliance.

The downstream impact of biased automation in healthcare isn’t academic — it affects real decisions, real care, and real people.

Ben Webster, Vice President of AI Solutions at NLP Logix

Does Your AI Work?

How your leadership, customers, and investors that your Generative AI or Agentic AI system delivers accurate results – consistently and better than your competitors. We’ll build a tailored implementation with automated testing and monitoring to ensure your solution stands up to scrutiny.

Test the accuracy and reliability of your GenAI solutions to demonstrate that they work as intended in realistic, representative scenarios.
Benchmark your solution against general-purpose frontier models, showing where and how your custom solution delivers superior results.
Automate measurement as part of your development process, so you can continue tracking performance across model versions, LLMs, RAG strategies, and customizations.

You can’t assume fairness. You have to test for it — by swapping genders, names, or cultural cues and tracking how the model’s response shifts.

Louis Ehwerhemuepha, Data Science Research Director at Children’s Hospital of Orange County

Is Your AI Safe?

You’re responsible for demonstrating that your AI system is free from unsafe behaviors, from hallucinations and discrimination to data leakage and harmful advice. We’ll build a custom test suite and production monitors, integrated into your development environment, that cover the full range of known Generative and Agentic AI risks.

Stress-test your models across thousands of edge cases, including adversarial attacks, robustness, and bias tests, customized to your AI system to ensure it behaves consistently and responsibly.
Automate red teaming to identify issues such as harmful outputs, demographic and cognitive bias, vulnerability to prompt injection or sensitive data leakage, or brittleness to real-world inputs.
Implement ongoing monitoring in production in addition to pre-release testing. Continuously track model behavior, detect drift, and flag safety or compliance issues in real-time.

We apply LangTest in two stages: during training, and every time we generate a match list in production. It gives us real-time fairness validation.

Katie Bakewell, Data Science Solutions Architect at NLP Logix

Is Your AI Legal?

It’s your responsibility to ensure that your AI system complies with the law and your contractual obligations – today and on an ongoing basis. We’ll build a custom policy suite and educate your team about it, so that you’re always ready for an audit.

Deliver a custom AI Policy Suite that aligns your organization with over 100 global AI laws, regulations, and industry standards.
Conform to emerging industry standards such as the NIST AI RMF, CHAI guidelines, and ISO 42001.
Conduct AI Literacy training for your team, with a combination of general AI awareness and role-specific training.
Implement the required controls, documentation, and evidence to demonstrate compliance during audits or regulatory reviews.
Build model cards, templates, and incident response workflows, enabling you to scale governance to many AI systems consistently.

Responsible AI means more than ethics—it’s about audits, disclosure, transparency, and making your models defensible.

Jason Safley, Chief Technology Officer at Opptly

Ready to prove your AI works? Call us today to scope a project. We’ll deliver while working side-by-side with your team, ensuring they can confidently own and expand governance in the future.