Safety and security are the most critical questions in AI today. Prufold turns every AI decision into verifiable evidence you can show regulators, auditors, and your board — and we build it for you, and with you.
One trust layer, composable across the stacks your teams already ship. No rewrites. No cryptography team required. The descriptions below adapt to the lens you chose above.
Cryptographic guarantees for agent and model behavior — controls you can prove, not just policies you hope hold.
Prove correct handling of sensitive inputs without ever exposing them. Zero-knowledge by construction.
A tamper-evident record of every computation, ready for incident response and audit.
Follow a single request end-to-end. Your code runs as it always has — Prufold captures, folds, and proves it, so anyone can verify what happened without re-running it.
Agent, LLM pipeline, or robotics workflow runs unchanged.
A structured record of the computation is captured.
Zero-knowledge fold compresses it to a commitment.
A succinct proof π is emitted — typically a few kB.
Regulators, customers, or auditors check it instantly.
The same cryptographic evidence answers a different question for each person in the room — from the engineer shipping the agent to the board signing off on the risk.
Tamper-evident attestation for agent behavior, model provenance, and data handling — enforced by construction, ready for incident response.
Drop-in verifiable execution for agentic apps, LLM pipelines, and robotics. Capture, fold, verify — exposed as a simple SDK, no ZK expertise needed.
Verifiable evidence you can show regulators, auditors, and the board — assurance backed by cryptography, not by trust in a vendor's word.
Make every result independently checkable, with a proof that travels with it — so scientific and model claims hold up beyond your own lab.
A team spanning applied cryptography, AI systems, and enterprise security — building the trust layer the autonomous economy needs.
Probabilistic detection falls short where autonomous agents are concerned. Cryptographic verification provides mathematical guarantees instead.
Agents are powerful and autonomous, but the security layer that makes them safe to run at scale is still missing.
As inference becomes the dominant share of AI revenue, cryptographic verification of AI compute becomes essential infrastructure.
Book a demo and we'll walk your team through verifiable execution on your own stack — for you, and with you.
