The platform
One platform. Every model. Your keys.
The orchestration layer your agents run on, and the reason every Collection compounds.
Primitives
The building blocks you shouldn't build.
Composable, headless, available end to end via API. Use our surfaces or build your own on top.
Multi-agent orchestration
Agents coordinate, delegate and verify each other's work.
Every model
Frontier, open-source and fine-tuned, swapped without rewrites.
Semantic memory
Remembers every interaction across every agent.
Tools
Agents act: draft, file, schedule, reconcile, ship.
100+ connectors
Your systems, readable and writable, from day one.
Headless API
Every primitive, callable from your own products.
Projects
Work items, agents and humans, one server-side space.
Content blocks
Living documents agents draft, structure and keep current.
Computer use
Agents operate the screen: click, type and finish the task in the tools you already run.
Use it from anywhereStudioSlackAPImonō FoundryThe surface you build
Projects
Start in the workspace. Finish in the IDE.
A project lives server-side: work items, agents and humans in one shared, persistent space, with project-scoped memory, knowledge and permissions.
Start in the workspace
- PID drafted with agents
- Work items scoped
- Context attached
Finish in the IDE
- Foundry picks up the work items
- Verification gates pass
- The pull request ships
One project, server-side: work items · agents · humans · memory
the state never leaves the platform
Product
From PID (project initiation document) to launch.
Software
From PID to pull request.
Legal
From matter opened to matter closed.
A memory of your business, built in.
Your agents share one memory of how your business works, so you never have to build or maintain an agent memory yourself. It gets richer every month, and that gain is yours.
Don’t rebuild the primitives. Build the IP on top.
Architecture
How the primitives stack.
Experience
- Apps
- Slack
- Headless API
- Your own surfaces
Agents
- Collections
- Tiles
- Multi-agent orchestration
- Verification
Context
- Semantic memory
- Your knowledge graph
- 100+ connectors
Foundation
Your cloud or ours · inference-only
- OpenAI
- Anthropic
- Mistral
- Open-source
- Your fine-tuned models
Collections and enterprise deployments run on the same four layers, nothing is one-off, everything compounds.
Semantic memory sits under every agent: what one learns, the next can use.
The Foundation layer is swappable by design. Frontier today, open-source on your own infrastructure tomorrow.
Model-agnostic by design
The model is a component, not a commitment.
The leading labs lead today. Where are they in five years? With monō, it doesn't need to matter.
Model leadership changes hands every few months. Open-source closes the gap relentlessly. Specialist and sovereign models are emerging for exactly the regulated work enterprises care most about.
monō sits above the model layer: your workflows, your agents, your semantic memory and your business context live in the platform. When a better, cheaper, faster, or open-source and yours, model arrives, you swap it in.
No rewrites. No migration projects. No betting your company on one lab’s trajectory.
Your agents, memory and workflows, unchanged
the monō platform layer
Bring your own API keys
Your OpenAI account. Your Anthropic account. Your negotiated rates. monō orchestrates on top, we never mark up your tokens.
Your API keys
Plug in the lab accounts you already hold.
Your rates
Whatever you negotiated with the lab stands.
Zero markup
Tokens pass through at cost. Always.
Built with
Governance, eval, monitoring & cost
Govern, evaluate, monitor, see what it costs.
One capability. Every agent runs under policy, scored against your standard, with per-agent cost in view.
Governance
Exportable audit trail, role-based access, human-in-the-loop, policy controls on every agent.
Eval & monitoring
Continuous evaluation, drift and quality monitoring, with OpenTelemetry traces and exportable logs that flow into the tools you already run.
Cost & efficiency
Per-agent token and cost observability, plus a harness that sends far fewer tokens than raw.
Why it costs less
Fewer tokens
Semantic context chunking, memory-first retrieval, isolated sub-agent contexts, graduated compaction. Only the relevant slice ever enters the window.
The right model for the job
Volume on open-source, judgement on frontier, the right work goes to the right model, continuously.
Fine-tuned for production
Purpose-trained LLMs and SLMs for production workloads: small, fast, a fraction of the per-token cost.
up to 70%
fewer tokens, same work
The cheapest token is the one you never send. The second cheapest comes from a small model you tuned for the job.
Your API keys, your rates, zero markup, and the harness sends fewer tokens through them.
It gets smarter and cheaper as it learns your shape, memory-first retrieval means fewer tokens, every month. See how it compounds →
Organisational Intelligence
Most software depreciates. monō compounds.
The nervous system under both motions. Every tile, every person, every month writes to one memory, and the memory is yours.
Three ways it compounds
Across your stack. Across your people. Across time.
Across your stack
More tiles, smarter.
Every tile writes to one shared memory. Tile six inherits everything tiles one through five learned.
The CRO already knows what the CFO knows.
Across your people
More users, smarter.
Org-scope memory, governed by permissions. The work persists when people move on.
Your newest hire starts with twenty years of your firm's memory.
Across time
More usage, smarter.
Month one is tool convenience. Month twenty-four is institutional intelligence you could not buy.
Month six is worth more than month one. Month twenty-four is irreplaceable.
One shared brain
Every tile draws on the same memory.
The same brief, one year on
It starts generic. It ends irreplaceable.
Generic. It knows your tools, not yet your shape.
What compounds
Month one is convenient. Month twenty-four is irreplaceable.
Month 1
Tool convenience
Agents do the task in front of them.
Month 6
Team productivity
Your team's patterns are learned and reused.
Month 12
Organisational memory
Decisions, context and precedent, remembered.
Month 24
Institutional intelligence
Your own work, compounded. Irreplaceable.
The intelligence compounds inside your walls. We learn how to build; you keep everything we build.
It compounds inside your walls. We learn the methods; your data stays yours, never pooled, never shared.
Sovereignty
Sovereign by design. Not by exception.
Everything your agents learn compounds into your company's operating intelligence. That asset stays inside your walls.
Your infrastructure or your tenancy
Deploy in your cloud, on your keys. The perimeter is yours.
Inference-only, never trained on
Your data never trains anyone's models, never builds someone else's product.
Role-based access
Agents see exactly what the person they work for can see.
Full audit trail
Every agent action logged, attributable, reviewable.
Every agent makes your business smarter, and everything it learns stays inside your walls.
The sovereignty deep diveSecurity documentation available under NDA.
For developers
Headless by design.
Everything on the platform is available via API, embed agentic capability in your own products, or ship software with monō Foundry.
The platform is the foundation. The collections are where you start.
See it running on your own use case.