Control · Confidence · Delivery

Governed agent infrastructure
for real outcomes

Let agents work without giving them blind access to the real world. Caimeo governs execution, rehearses behavior, and is preparing a high-trust delivery room for the next layer up.

Contact Caimeo See the products
Self-hosted by default
Vendor-agnostic
Enterprise-ready audit trails
Caimeo suite architecture diagram showing a three-stage pipeline. Forseti governs live agent actions through intent, policy, approval, and release. Tyche turns those traces into seeded scenarios, runs deterministic comparisons, and outputs replay-backed policy packs. Valhalla takes validated patterns into a structured delivery room with intake, role loops, review, and shipped change.

The Suite

Three products. One governed stack.

Live now

Forseti

Governed execution gateway

Put AI agents behind typed intents, deterministic policy, approval logic, and an auditable execution boundary.

  1. Intent
    Horizontal illustration on dark navy background, 640x280px. LEFT: a stylized AI agent icon (neural-network shape in cool white) emitting a glowing cyan envelope labeled "Intent Envelope". CENTER: the envelope shown as a card with JSON-style fields - action: deploy, target: prod, amount: 12,400, risk: high, caller: agent-a17. The fields are rendered in monospace with field names in muted gray and values in crisp white/cyan. A small lock icon on the top-right of the envelope hints at signed provenance. RIGHT: three greyed-out privileged-tool icons (terminal, payment, API) sitting behind a translucent cyan barrier, indicating the agent cannot touch them directly. Thin cyan connector lines show the envelope flowing from agent to barrier. Style: clean vector, subtle grid backdrop, enterprise B2B polish, Forseti cyan (#00d4ff) as the accent.

    The agent submits a typed request instead of touching privileged tools directly - every action becomes inspectable before execution.

  2. Policy + Approval
    Horizontal illustration on dark navy background, 640x280px. LEFT: an incoming intent envelope arrow enters a hexagonal policy engine node. The hexagon contains small monospace labels stacked vertically - allowlists, domain checks, amount ≤ $10k, secret detection, action limits. CENTER: three output paths branch from the hex, each rendered as a pill badge with its color - green ALLOW pill (upper path), red DENY pill with a small reason-text line (lower path), amber REQUIRES_APPROVAL pill (middle path). RIGHT: on the REQUIRES_APPROVAL path, a stylized Slack-card mockup shows an interactive approval request with two buttons (Approve/Deny) and three small icons below representing single-approver, quorum (2-of-3), and hierarchy routing. Dotted async-callback arrows loop back to the policy engine. Style: clean vector, high-contrast pills, Forseti cyan for the cards and engine, accent glows, enterprise-quality.

    Forseti returns ALLOW, DENY, or REQUIRES_APPROVAL and routes the right approvers when needed.

  3. Execution + Audit
    Horizontal illustration on dark navy background, 640x280px. LEFT: a glowing cyan execution gate icon in the open position - two vertical bars lifting to allow a cyan arrow through. A small "APPROVED" tag floats above it. CENTER: the released action flowing into four downstream runtime icons arranged in a compact row - n8n logo mark, a terminal/CLI prompt, a webhook symbol, and a REST API connector. Each runtime has a thin connecting line from the gate. RIGHT: a vertical audit-log scroll with 5–6 stacked horizontal trace entries, each with a small timestamp on the left and labels: "intent received", "policy evaluated", "approval requested", "votes recorded", "action released", "callback confirmed". A small replay/play button is overlayed on the log, suggesting the trace is replayable. Style: clean vector, Forseti cyan accents, subtle dark grid backdrop, enterprise polish.

    Only approved requests reach the deterministic action plane, with a trace the team can replay later.

  • Typed intent envelopes Agent actions become inspectable before execution.
  • Deterministic decisions ALLOW / DENY / REQUIRES_APPROVAL with explicit reasons.
  • Flexible approval trees Single approver, multisig, quorum, and hierarchy routing.
  • Slack-native approvals Interactive cards, slash commands, async processing.
  • Execution gating Release only after the latest required approval is terminal.
  • Full audit trail Trace history, votes, callbacks, replayable context.

Pilot offer · 4–6 weeks

One governed workflow, Slack approval path, policy pack, and auditable release flow.

Book a Forseti pilot See how it works

Self-hosted · vendor-agnostic · replayable

Suite Architecture

Built to work together

Each layer has a clean job. Forseti controls action, Tyche provides evidence, and Valhalla is the governed delivery layer that ties them together.

01

Control

Forseti sits at the execution boundary. Agents propose intents; Forseti decides whether they proceed, require approval, or get denied.

02

Confidence

Tyche rehearses before production and replays after incidents, replacing guesswork with deterministic evidence.

03

Delivery

Valhalla is the next layer up: a governed build room for important specs, specialist roles, and high-trust execution.

Audience

Built for teams deploying agents into real workflows

Security & Platform Engineering

Need an approval and audit layer before agents touch deployments, payments, tickets, or external APIs.

AI Platform Teams

Need reproducible evidence before widening agent autonomy and a way to replay incidents after they happen.

Finance & IT Operations

Need quorum-based approvals before money moves or vendor communications go out, with a full audit trail.

Product Engineering

Need a route from governed execution into repeatable, higher-trust delivery without losing operator control.

Principles

How we think about agent governance

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Self-hosted by default

The control layer runs in your environment so the governance boundary survives model churn and vendor changes.

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Vendor-agnostic

Forseti sits above the model vendor, above the agent framework, and above the workflow runner. No lock-in.

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Operator-visible by design

Approvals, simulations, and delivery loops stay inspectable. No black-box handoff when the stakes rise.

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Deterministic decisions

Policy evaluation is deterministic: ALLOW, DENY, or REQUIRES_APPROVAL. No probabilistic guessing at the governance layer.

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Reproducible simulation

Every Tyche run carries a seed, scenario version, and replay manifest so results can be reproduced and compared.

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Structured delivery loops

Valhalla is being shaped around named roles, question rounds, and convergence rules instead of freestyle agent chatter.

Bring one workflow or one hard problem.

We will tell you whether it belongs in Forseti, Tyche, or the upcoming Valhalla track.

contact@bitfalls.com Review the suite