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Governed AI runtime

Turn LLMs into governed production systems.

SignalBrain builds Titan: the runtime that governs answers, tools, memory, authority, deployment state, and autonomous actions in production. Models stay interchangeable. Control does not.

Request a Pilot -> Watch Titan demo -> Explore SignalBrain Forge -> View proof receipts ->
15 Patents filed across runtime, governance, and execution controls.
0 Safety violations in proof demos with policy gates enabled.
344 us Measured local decision latency for bounded policy decisions.

LLMs are becoming commodities. The hard problem is governing what they answer, what they use, what they remember, and what they are allowed to do.

The category

Titan is the control plane for high-trust AI agents.

Most AI products reduce to a user, an LLM, and an answer. That is useful for chat. It is not enough for production workflows where the system must explain why it answered, why it withheld, which tool it used, which model generated the output, and which code version produced the result.

Titan places a governed runtime around the model: classification, retrieval, memory, tool selection, verification, governor policy, model synthesis, authority checks, receipts, and deployment drift controls. The model is a component. The runtime is the product.

01

Classify

Route work by intent, risk, domain, tool need, and allowed authority.

02

Retrieve

Pull memory, code, knowledge, and operational context with source tracking.

03

Select Tools

Choose bounded tools through route gates and least-authority rules.

04

Verify

Check claims, evidence, spans, policies, and failure modes before release.

05

Govern

Allow, degrade, withhold, or escalate based on authority and evidence.

06

Receipt

Emit auditable records for answers, tool calls, actions, tests, and deploy state.

The moat

Governance is not a dashboard. It is the execution layer.

Answer What was produced, what was withheld, and which route made the decision.
Evidence Which retrieval sources, spans, tools, and checks influenced the output.
Authority Whether the request was read-only, mutation-capable, money-moving, or deploy-affecting.
Runtime Which model, code SHA, container state, and readiness profile produced it.
Rollback How to replay, verify, reverse, or escalate an autonomous action.
Commercial wedge

Start with one workflow where unsafe AI is expensive.

Titan is infrastructure. SignalBrain sells it through focused workflows where auditability, controlled execution, and measurable outcomes matter.

Enterprise AI Governance

Receipts, policy gates, model routing, evidence checks, readiness gates, and deploy drift controls for teams already adopting agents.

  • Answer and action audit trails
  • Authority-aware tool access
  • Regression and drift firewall

SignalBrain Forge

The first Titan-powered product wedge: governed AI change control for engineering teams.

  • Scoped code packages
  • Contract and CI evidence
  • Human merge gates and rollback receipts

Operational Copilots

Governed recommendations for payments, fraud, finance, cyber, and other domains where evidence and authority matter.

  • Decision support with receipts
  • Approval queues for high-stakes action
  • Measured before/after outcomes
Proof, not promises

Every capability is strongest when it leaves evidence behind.

SignalBrain is built around measurable claims: receipts, deterministic probes, scoped tests, runtime status, and rollback paths.

SignalBrain Forge receipt interface

Trust receipts

Capture what the agent claimed, which evidence it used, whether verification passed, and how to replay or roll back the action.

 SignalBrain Forge lifecycle proof

Build-to-settle lifecycle

Forge decomposes work into packages, verifies scoped outputs, and refuses fake success when evidence is missing.

 SignalBrain runtime metrics dashboard

Runtime gates

Readiness, determinism checks, A/B receipts, SPC gates, and deploy drift controls keep production behavior inspectable.
Investor frame

The infrastructure layer required before agents can be trusted inside real organizations.

Models stay interchangeable.

Titan treats LLMs and transformers as replaceable engines behind one governed runtime contract.

Authority is explicit.

Read, write, deploy, money movement, and customer-data operations are governed differently by design.

Production state is visible.

The runtime tracks code SHA, source drift, readiness, model routes, and verification outcomes.

Pilot offer

Pick one workflow. Govern it. Measure it. Expand from proof.

We build a focused Titan pilot around your data, tools, and approval gates. The deliverable is not a demo script. It is a measured workflow with receipts, policies, and rollback paths.

Week 1Choose workflow, data boundaries, authority gates, and success metric.
Week 2Wire read-only analysis, evidence collection, and receipt shape.
Week 3Add approval queue, scoped execution, A/B or regression gate.
Week 4Deliver measured results, operating playbook, and expansion plan.
Book a Trust Ops Demo -> View investor deck ->
Contact us

Talk to SignalBrain about Titan, Forge, or a governed AI pilot.

Reach Alan Samaha directly for customer pilots, investor conversations, partnerships, or technical diligence.

[email protected] Email Alan Samaha LinkedIn SignalBrain-OS GitHub Investor deck Read