The governed agent runtime
for AI work.
AI agents are shipping into production. LumenFlow governs the work they do across software delivery, operations, and customer-facing systems. We lead with software delivery because it is the clearest enterprise wedge, then expand into the broader agent-runtime surface.
AI agents are ready.
Trust infrastructure isn’t.
Foundation models crossed the capability threshold in 2025. Enterprises are deploying AI agents into production workflows — software delivery, operations, data pipelines, and customer-facing systems. But CISOs, compliance teams, and CFOs block deployment without answers to three questions:
LumenFlow answers all three. We are the governance layer that turns “not yet” into “ship it.”
Kernel, Cloud, and Sidekick.
Kernel
The local enforcement layer. Policy evaluation, evidence capture, and fail-closed action gates — deployed wherever agents run. Built to be governed, inspected, and validated in production before every AI action executes.
Cloud
The hosted control plane. Approval routing, exportable evidence storage, team dashboards, cost analytics, workspace isolation, and a control-plane SDK for governed external runtimes. Start with the kernel, add Cloud when you need team governance.
Sidekick
The consumer AI operator built on the same governed runtime. Connect email and messaging channels, delegate real tasks, and every action still passes through the same policy, evidence, and approval model — governance invisible, but present.
Not a pitch. A product.
LumenFlow is live in beta with real users. Here is what’s in production today.
Policy enforcement
Workspace-scoped policies define what agents can do autonomously and what requires approval. Fail-closed by default.
Exportable evidence
Every governed action produces a structured evidence record — who, what, when, why, and what it cost. Exportable for compliance.
Per-action cost tracking
Real-time spend visibility per tool call, per model, per workspace. Budget controls and cost alerts at every level.
Managed inference & BYOK
Start with managed inference for zero-config setup, or connect your own model API keys for full provider choice. Keys encrypted at rest with AES-256.
MCP-native connectivity
First-class Model Context Protocol support. Any MCP-compatible tool or runtime works inside LumenFlow governance without custom integration.
Kernel enforcement layer
Kernel-grade policy evaluation, evidence capture, and fail-closed action gates packaged as the enforcement layer beneath the hosted control plane.
Governance becomes the platform.
Every previous computing wave created a governance layer that became a platform: AWS for cloud, Okta for identity, Datadog for observability. AI agents are the next wave, and the governance layer doesn’t exist yet.
LumenFlow is the control plane for this wave. We sit between AI agents and the systems they touch. Every action flows through us. That position compounds: more actions mean more evidence, more evidence means better policies, better policies mean more trust, and more trust means more actions.
The company that controls the governance plane for AI agents sits at the most strategic position in the enterprise stack.
Early stage. Real product.
We’re pre-revenue and honest about it. What we do have is a production system that works.
Live in beta
Real users running real workflows with full governance. Every action audited and cost-tracked since day one.
Organic adoption
Zero paid acquisition. Users find us through word of mouth and try it because the product speaks for itself.
Production infrastructure
AES-256 at rest, TLS 1.3 in transit. Bring-your-own model keys. Workspace isolation. Not a prototype.
Shipping weekly
Trunk-based development with automated quality gates. Production features shipping every week.
AI governance is a new category.
No one owns AI agent governance yet. The window is 6–12 months before incumbents bolt it on or the category commoditises.
Agent frameworks like LangChain and CrewAI build agents. LumenFlow governs them. Agents built with any framework run under our control plane. We complete the stack, not compete with it.
Cloud providers offer model access. Observability tools watch logs. Nobody provides the control plane for AI agent governance — policy, approvals, evidence, and cost enforcement in one kernel.
Enterprise AI adoption is accelerating faster than governance tooling. The company that establishes the trust standard now will define the category. Detailed market sizing available in our investor deck.
Four compounding advantages.
Governance data flywheel
Every governed action generates policy training data. More usage means smarter defaults, fewer false positives, and higher trust — creating a compounding moat that competitors cannot replicate without equivalent action volume.
Position in the action path
We sit between the model and the business system. Every AI action flows through LumenFlow before it executes. Switching costs increase with every policy configured and every audit trail accumulated.
Per-action cost visibility
Every AI action is cost-tracked at the provider, model, and token level. As usage grows, this data enables spend optimisation insights that single-provider tools cannot offer.
Auditability trust
Trust comes from enforced policy, exportable evidence, and a governance surface enterprises can evaluate through product behavior, audit artifacts, and diligence, not black-box claims.
Usage-based with platform leverage.
Governed inference is pay-as-you-go — prepaid credits plus a flat governance fee on the work you route through LumenFlow, no recurring bill on the tokens themselves. Team and Enterprise plans layer on top for scale: more workspaces, more governed events per day, and longer evidence retention. Enterprise licensing and support commitments, including SLA-backed contracts, are our roadmap toward larger deployment agreements.
Free — $0
1 workspace, 1,000 governed events/day, 7-day evidence retention. Full governance features. Built to earn trust.
Team — $49/month
Up to 5 workspaces, 50,000 events/day, 90-day retention. Metered pay-as-you-go inference and bring-your-own model key.
Enterprise — custom
Unlimited workspaces and events, 365-day retention. Compliance add-on, audit exports, and enterprise governance controls. SSO today; SAML and SCIM planned.
Hard-to-replicate infrastructure.
The governance kernel contains technical decisions that compound over time. Each one takes months to build correctly.
Workspace-scoped policies
ShippedAutonomy policies, spend limits, and approval requirements configured per workspace. Fail-closed enforcement for tools requiring human approval.
Evidence receipts
ShippedStructured records of what each AI action did, what it cost, and what model was used. Timestamped and stored alongside the action log.
Per-action cost tracking
ShippedEvery tool call and model invocation tracked at the token level with provider, model, and cost breakdown. Real-time spend visibility.
Workspace isolation (RLS)
ShippedRow-level security across all tables. Each workspace is a hard trust boundary enforced at the database layer.
MCP-native connectivity
Built on an open standardFirst-class Model Context Protocol support. Any MCP-compatible tool works inside LumenFlow governance without custom integration.
Kernel-first architecture
ShippedThe governance kernel is a dedicated enforcement layer for policy evaluation, evidence capture, and fail-closed action gates beneath the hosted control plane.
Interested in the control plane for AI?
We’re raising our seed round. Request our investor deck or schedule a conversation.