Ship AI systems that hold up under production traffic.
SafeFlow's AI Assurance Starter Kit gives developers, agent builders, and model teams a local-first workflow to measure operational failure risk, discover where it clusters, and validate controls before deployment.
High-stakes AI systems that need evidence, not intuition.
Local-first reliability testing
Run SafeFlow locally against OpenAI-compatible APIs, Ollama, vLLM, or your own model server — no data leaves your environment.
Agent and workflow builders
Stress-test tool calls, routing, and multi-step orchestration under realistic prompt distributions.
Model and prompt CI
Wire SafeFlow into your CI to catch reliability regressions on prompt, policy, or model changes.
System-prompt hardening
Iterate on system prompts and policies with validated evidence they reduce operational failure risk.
Vendor and model comparison
Compare frontier and open models on your prompt distribution — not a public benchmark.
Open technology
Grounded in original research into operational AI reliability. Reproducible, inspectable, and portable across environments.
What SafeFlow delivers.
SafeFlow produces the evidence your executives, auditors, customers, and regulators need to trust an AI deployment decision.
- Reliability metrics for your own prompt distribution
- Local-first — data never leaves your environment
- Reproducible baseline for prompt and model changes
- Failure clustering for targeted mitigation
- Validated controls with measured risk reduction
- Upgrade path to full AI Assurance engagements
Get the Starter Kit.
Tell us about your deployment context. We reply within 1–2 business days.