Most AI looks great in a demo and fails quietly in production. We build rigorous evaluation systems — test suites and safety checks — that measure whether your AI is actually accurate, reliable, and ready to ship. Evidence, not hope.
Know before your users do. We design custom eval suites that catch accuracy, safety, and reliability failures before they reach production — and keep catching regressions after you ship.
Learn More →Not sure whether your AI is working — or where AI fits at all? We give you an honest, measurable assessment of what's possible, what's practical, and how you'll know it's succeeding.
Learn More →Production-grade AI built around your real data and workflows — with monitoring, error handling, and evaluation baked in from day one, not bolted on later.
Learn More →"42 Robots has been a tremendous asset to our business. They've been an extension of our team allowing us to move much faster, providing cutting-edge AI solutions enabling Janus to deliver better financial performance and operating efficiency to our health system customers."
From production AI systems we built and validated for demanding, high-stakes workflows — including healthcare document processing at scale.
We're not an IT services company that added "AI consulting" to the menu. Machine learning and NLP are foundational to what we do.
We've built and validated production AI in demanding, regulated domains — including healthcare revenue cycle, where claims, denials, and document processing at scale leave no room for error. We know how to ship AI where mistakes are expensive.
We use deterministic code where possible and targeted LLM calls where they add real value. No black boxes — just transparent, production-ready data pipelines.
When you hire us, you work directly with our engineering team — from model training to workflow automation, not a sales rep who hands you off to juniors.
Whether you're exploring AI for the first time or ready to build, a 30-minute conversation costs nothing and could save you months of trial and error.
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