Raltic is an AI agent workflow platform for teams that need research to become a decision, not another pile of notes. Start a synthesis room, add sources and quotes, let the agent structure the evidence, and review source quality before the memo becomes team memory.
No credit card · cloud runtime to start · local runtime only when the workflow needs it
Illustrative example
This is an illustrative example, not customer data or a promised result. Actual output depends on the evidence supplied to the room and the runtime used.
The decision owner approves a pilot, not a broad launch, until pricing evidence improves.
Search intent answered
The workflow starts with one room, one starter brief, one visible agent participant, and one review gate. It is designed for trial users to see useful proof before they add more agents or connect private local runtimes.
Keep sources visible in one room so the agent can cite what it used and the team can challenge weak evidence.
The starter asks for a short recommendation, supporting evidence, confidence level, open questions, and a decision owner.
The final output stays searchable with the evidence trail, so future workflows can start from the prior decision instead of a blank prompt.
Proof path
Raltic does not ask new users to build an automation before they see value. The first trial should produce a visible artifact, a human approval point, and a room the team can return to.
A decision memo with the source trail visible beside the agent output.
Evidence gaps that tell the team what to research next.
A reusable research memory instead of a one-off AI summary.
Approval boundary: Human reviews source quality before the memo becomes a team decision.
FAQ