Your AI agents make thousands of decisions a day. Can you prove what they did? Cyris auto-instruments 12+ LLM providers (OpenAI, Anthropic, Bedrock, Gemini, Ollama, more) with zero code changes. Every decision is logged into a tamper-proof, hash-chained audit trail. When a hospital sends a 200-question security questionnaire, Cyris auto-fills the answers from your real agent data in 90 seconds. Two lines of code. Agents discovered in 10 seconds. Your next compliance review writes itself.
Hey PH 👋 I'm Krish, 19, building Cyris with two cofounders from Stanford and Columbia.
I spent 13 months at a cancer research institute watching healthcare AI startups lose hospital deals — not because their agents didn't work, but because nobody could prove what those agents did. The compliance officer asks "show me what your AI decided for this patient" and the founder has nothing.
We built Cyris to fix that. Two lines of code, zero config — every LLM call is auto-captured into a hash-chained audit trail. What makes it different from observability tools like Helicone or LangSmith:
→ Tamper-proof hash chain on every entry — cryptographic proof, not just logs
→ Auto-fills security questionnaires from real operational data in 90 seconds
→ Shareable live trust center URL — hospitals check your compliance posture anytime, no login
→ Forensic trace — when something breaks, reconstruct the full decision chain across agents in seconds
→ Auto-instruments 12+ providers including OpenAI, Anthropic, Bedrock, Gemini, and Ollama — zero code changes
We're healthcare-first but the SDK works for any AI agent system. If your agents make decisions someone will eventually ask about, Cyris records the answer before the question arrives.
Would love honest feedback — what would make this more useful to you?
Try it live: cyrisai.dev
About Cyris on Product Hunt
“Turns every AI decision into audit-ready evidence”
Cyris launched on Product Hunt on April 9th, 2026 and earned 101 upvotes and 7 comments, placing #31 on the daily leaderboard. Your AI agents make thousands of decisions a day. Can you prove what they did? Cyris auto-instruments 12+ LLM providers (OpenAI, Anthropic, Bedrock, Gemini, Ollama, more) with zero code changes. Every decision is logged into a tamper-proof, hash-chained audit trail. When a hospital sends a 200-question security questionnaire, Cyris auto-fills the answers from your real agent data in 90 seconds. Two lines of code. Agents discovered in 10 seconds. Your next compliance review writes itself.
On the analytics side, Cyris competes within API, Artificial Intelligence, GitHub and Alpha — topics that collectively have 605.4k followers on Product Hunt. The dashboard above tracks how Cyris performed against the three products that launched closest to it on the same day.
Who hunted Cyris?
Cyris was hunted by Krishnam Goel. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Cyris including community comment highlights and product details, visit the product overview.
Krishnam Goel