Inficy: understand what your AI agents are doing

What Inficy is

Inficy is a hosted control plane that shows you what your AI agents are doing. Each execution becomes a readable activity record: where the agent went, which tools, models and services it used, how long it took, what happened when it failed, was interrupted or recovered, who intervened and, where observable, what it tried to spend. Records are tamper-evident and exportable. When one specific execution needs independent proof, you can optionally certify it through the NexArt Node.

Who it is for

Teams running AI agents that take real actions in production systems.
Engineering leads who need to answer “what exactly did the agent do?”
Operators who need to see where agent time, activity and spending actually go.
Risk and audit reviewers who need a structured execution record rather than a screenshot of a chat transcript.

The problem it solves

Agent frameworks keep logs for debugging, not for proof. Logs are mutable, unstructured, scattered across providers and deleted on a retention timer. When someone asks what an agent did last Tuesday, there is usually no answer that survives scrutiny. Inficy turns the execution itself into a structured, workspace-isolated record, and optionally into a cryptographically verifiable artifact.

What optional certification proves

A certified artifact proves that a specific sequence of recorded actions existed in this exact form at the time of certification, and that it has not been altered since. Anyone holding the artifact can verify it offline against the NexArt Project Bundle.

What it does not prove

It does not prove the agent's decision was correct, safe or compliant.
It does not prove anything about actions that were never sent to Inficy, evidence covers what was captured, nothing more.
It does not attest the truthfulness of content produced by a model.

Read how capture and certification work, or the agent connection documentation.