PRODUCTS
Each layer handles a distinct concern — reasoning, data governance, orchestration, action governance — so teams can adopt what they need.
Python-first expert system runtime built on CLIPS. Deterministic reasoning with persistent working memory, compliance rule packs, and sub-millisecond latency.
engine = fathom.load("rules/governance.yaml")
result = engine.evaluate({
"agent": "analyst",
"action": "access",
"data_classification": "SECRET"
})
# => Decision(action="deny", reason="clearance insufficient")
Policy-first data broker for multi-agent systems. Three personas govern what agents know — the Librarian routes, the Curator learns, the Gatekeeper enforces.
response = nautilus.query(
intent="threat_analysis",
clearance="SECRET",
session="op-47"
)
# Librarian routes → Gatekeeper enforces → results attested
Full-stack platform for building and governing multi-agent systems. Go backend, React dashboard, DSPy reasoning modules, and CLIPS-based policy governors.
workflow.stage("analyze", {
module: "chain_of_thought",
agents: ["analyst"],
governor: "nist-800-53"
})
workflow.stage("review", {
require_approval: true,
on_failure: "escalate"
})
Agent action governance mesh. Controls what agents do — every action passes through Fathom-powered policy before execution.
bosun.authorize({
agent: "classifier",
action: "escalate",
context: ["session-47", "agent-a:output"]
})
# => Authorization(allowed=true, attestation="eyJ...")