About needevals

Built by operators, for operators.

We're former ML engineers and product leaders who've been in your shoes. We know the pressure to ship AI fast—and the risks of shipping it wrong.

Our Story

Why we started needevals.

In 2023, we watched dozens of SaaS companies rush to ship AI features. The pressure was intense—boards wanted AI, customers expected it, competitors were launching.

But we also saw the aftermath: hallucinations in production, safety concerns, customer churn from broken AI features. Teams were shipping fast but not shipping safe.

That's when we realized the industry needed a different approach. Not just "move fast and break things," but "move fast and build things right." AI evaluation and safety couldn't be an afterthought.

So we built needevals—the evaluation and guardrails service we wished we'd had when we were shipping AI features at scale.

Our Mission

"Help SaaS companies ship AI features that customers trust and regulators approve— without sacrificing speed or innovation."
Speed without compromise
Safety by design
Enterprise standards from day one

Leadership

Operators who've shipped AI at scale.

We've been in your shoes—building AI features under board pressure, dealing with safety requirements, and ensuring customer trust.

CM

Cole Murray

Founder & Lead Engineer
10+ years ML/AI at scale

Cole spent 6 years at Amazon building machine learning systems that serve customers at scale. After Amazon, he co-founded and served as CTO at Empiric, an ML-powered IoT startup.

Through his consulting practice, Cole helps SaaS companies ship AI features that customers trust and pass safety evaluations. He specializes in evaluation-first design and production-grade ML systems.

6 years
Amazon ML
Co-founder
ML IoT Startup
Millions
Users Served

Cole works with a network of specialized AI safety engineers and compliance experts to deliver comprehensive evaluation solutions for enterprise SaaS teams.

Our Values

How we work with your team.

Operator-first mindset

We understand the pressure to ship fast. Our frameworks are built for real-world constraints, not academic perfection.

Evidence-driven approach

Every recommendation is backed by data from production deployments. No theoretical frameworks—just what works.

Transparent communication

We tell you what we see, not what you want to hear. Honest feedback helps you build better AI features.

Long-term partnership

We are not just consultants—we are partners in your AI journey. Your success is our success.

Ready to work with operators who get it?

Book a 15-minute sanity check to see if we're a good fit for your team. No slide decks—just honest operator advice.