We bring trust and evidence for your AI Workflows

Every stakeholder of your AI solution will ask how you know your AI can be trusted. We help bring evidence and proof that your AI works.

Find out where your gaps are

See how we work

PROBLEM WE SOLVE

Building healthcare AI is hard.
Proving it works is harder.
We build the evidence that closes that gap.

Building healthcare AI is hard. Proving it works is harder.
We build the evidence
that closes that gap.

Building healthcare AI is hard.
Proving it works is harder.
We build the evidence that closes that gap.

WHAT WE OFFER

Purpose-built evaluation for healthcare AI.

Self-improvement loop

We use your prompts, agent codebase, traces, and eval scores to build a loop that automatically evolves your agentic flow. Your AI gets better as it runs.

Self-improvement loop

We use your prompts, agent codebase, traces, and eval scores to build a loop that automatically evolves your agentic flow. Your AI gets better as it runs.

Highlight the specific AI generated claim that has issues.

Our evidence linker breaks every AI output into individual claims and grades each one against the source. Not a hallucination score. A specific, actionable failure signal.

Highlight the specific AI generated claim that has issues.

Our evidence linker breaks every AI output into individual claims and grades each one against the source. Not a hallucination score. A specific, actionable failure signal.

AI Judges you can trust.

Every LLM-as-judge we ship is calibrated against human annotators with a measured agreement score.

AI Judges you can trust.

Every LLM-as-judge we ship is calibrated against human annotators with a measured agreement score.

Review multi-step agentic trajectory, tool calls, and full clinical workflows.

We assess the entire sequence of reasoning, tool calls, and decisions across your clinical workflow. Whether it's a 12-step prior auth review or a discharge summary chain, we evaluate the full sequence.

Review multi-step agentic trajectory, tool calls, and full clinical workflows.

Run detectors at scale.

Fine-tuned small models catch high-volume failure modes on every production trace. Fast, cheap, and purpose-built for your domain. Every annotated trace becomes a training signal for a self-improvement loop.

Run detectors at scale.

Score against clinical standards, not generic benchmarks.

We use rubrics designed with your subject matter experts. Built for your workflows, your documentation requirements, your domain.

Score against clinical standards, not generic benchmarks.

We use rubrics designed with your subject matter experts. Built for your workflows, your documentation requirements, your domain.

INTEGRATIONS

Works with the tools you already have.

We don't replace your observability stack. We sit alongside it. Scalefresh plugs into your existing eval and monitoring tools so your team gets better measurements without changing how they work.