The AI orchestration & safety layer for your workflows.
Turn high-level goals or events into safe, auditable workflows that use the right models, tools and policies — automatically. For AI platform teams, architects and operations teams running multi-model setups.
FlowBeacon AI turns high-level goals or system events into safe, auditable workflows.
It:
– picks the right workflow,
– composes the right tools (LLMs, ML models, rules),
– injects context from your data,
– and enforces guardrails so nothing goes out of bounds.
Every run is verified and fed back into the system, so routing and prompts get better over time.
Chooses the best model/agent per task using domain, latency, cost, and quality signals.
Plug GPT/Claude/Mistral/local LLMs or custom ML — centralized orchestration.
Ensembles with weighted voting, tiebreakers, and confidence scoring.
Agents draft integrations, mappings, and workflows for human review.
Outcomes tune prompts, routes, and policies over time.
Correlates who/what/when/where to surface patterns and anomalies.
Prefer a guided tour? Book a demo and we’ll walk through your stack.
Telemetry closes the loop → improves routing, prompts, and policies.
Goal-Driven means you declare the outcome; FlowBeacon chooses the workflow.
Preview the transparency artifacts your reviewers see before approving an automation.
Run an ensemble on a document categorization task. See which model wins and why.
No votes yet. Pick a document type above to watch the ensemble run and see which model wins.
We’ll add provider logos once you confirm the exact stack you want to show.
For teams that need managed organizational memory, FlowBeacon plugs into the optional Context Engine so every workflow can draw from governed history without keeping data on the control plane. Our Context Engine integration brief walks enterprise buyers through deployment patterns and security controls.
Kick off with the free workspace, then unlock more seats and tokens once your team is ready.