FriskAI launches with $3.6M to show enterprises what their AI agents are doing
Runtime intelligence startup FriskAI Inc. launched today with $3.6 million in pre-seed funding to give enterprises a record of what their artificial intelligence agents actually do once they go into production.
FriskAI is aiming at a problem that comes with agents. Given different inputs, a different tool set or a shifting objective, the same agent can take a route nobody wrote down in advance. Conventional software does not improvise. The observability and security tooling most companies run was built on that assumption.
The software runs alongside the agent and logs what the agent does with its tools. Each entry holds the arguments the agent sent. The response is in there, and a timing figure. From that record, FriskAI builds a behavioral profile of each agent broken down by task and by tool, then flags when a new version or a new deployment starts acting differently from the last one.
Instrumentation is handled through Python and TypeScript software development kits, with prebuilt adapters for LangChain, Claude Agent SDK and Strands. Anomaly detection runs without preset rules. The platform watches for shifts in the scope of an agent’s activity, the systems it reaches and the volume of calls it makes, and alerts in real time when something looks off.
