We run it ourselves
Our own GTM team runs on this collection.
Every demo is the live system, on monō's own pipeline. The agentic CRO you would buy is the one we operate ourselves, come and talk to us about running it.
Live
Think of it as your agentic cro.
The revenue engine that replaces your CRM.
Agents build your market map, source your deals, capture every interaction, and run your pipeline, so your team sells, and the system maintains itself.
One screen
The whole function, one cockpit.
Six tiles, one live work-feed, and what to do next, in a single view.
Revenue · one screenagent active
Tiles
- Client Intelligence
- Deal Sourcing
- Relationship Intelligence
- Signals & Outbound
- Pipeline Intelligence
- Ask Revenue
Work feed
- Deal Sourcing screened 2,140 companies
- Client Intelligence captured 38 interactions
- Pipeline rebuilt, 1 stall flagged
- Relationship Intelligence drafted outreach
- Signals & Outbound sent 7 follow-ups
What to do next
- 1 · Re-engage Borealis, diligence stalled 9 days
- 2 · Send the Acme follow-up, expires Friday
- 3 · Two cadences need your approval
Everything, one place
One system. 6 tiles. Zero sprawl.
Replaces
Legacy CRM
Replaces
Sales point tools
Replaces
Manual pipeline reviews
01
Client Intelligence
A system of record that records itself.
Every call, email, meeting and Slack thread is captured, summarised and attached to the right account, deal and contact. AI insights and next actions on every record. No data entry. Ever.
In production at monō.
02
Deal Sourcing
Your market, screened continuously.
Agents scan entire markets against your criteria, sector, size, signals like M&A, refinancing, debt maturity, strategic reviews, and hand you a ranked watchlist with named contacts.
03
Relationship Intelligence
Every relationship, remembered.
Living profiles of every relationship: history, news, warmth, who to talk to next and why. Suggested outreach drafted for you, in your voice, unique to each contact.
04
Signals & Outbound
Outreach that runs itself, with your guardrails.
Event-driven and cadence-driven outreach triggered by real signals, not spray-and-pray. Every message grounded in what the agents already know about the relationship.
05
Pipeline Intelligence
A pipeline that reflects reality, not rep hygiene.
Stages, risks and forecasts driven by what actually happened, meetings held, threads gone quiet, stakeholders engaged. Stalls flagged before they're obvious.
06
Ask Revenue
A CRO copilot on the whole picture.
Ask anything across accounts, deals and activity. Get prioritised actions, not dashboards.
No rip-and-replace
Starts on top of your CRM. Ends up replacing it.
Tile one plugs into Salesforce, HubSpot, your inbox, reading, enriching, doing the work around them. Every tile after that absorbs more of the work.
ClientDealRelationshipSignalsPipelineAsk
archive
The quiet ending
One day you notice the old system is just an archive.
Autonomy
Agents working for you.
Your market map builds itself.
Your pipeline runs itself.
Your copilot tells you what to close next.
CRO Copilot
Tells you what to do next to close more revenue.
Time to value
Live in weeks. Not quarters.
Days 1–3
Connected to your systems. Agents reading, learning your context.
Week 2
First tiles live in production. Real work, measured.
Always
Every customer is paired with a forward-deployed engineer.
Coming to the collection
- Pipeline Builder
- Outbound Engine
- Proposal Studio
- Revenue Forecasting
- Expansion Radar
Proof
Shipped, on real work.
The outcome
Less manual work. A pipeline that runs itself.
No data entry. A market map that maintains itself and a pipeline that runs around the clock, at a fraction of the cost of manual work.
Built on the monō platform.
Every frontier model, no lock-in. 100+ connectors. Semantic memory. Sovereign by design, your cloud, your keys, and everything your agents learn stays inside your walls.
Built with
Revenue runs one function. Running agents across your whole business?
Go AI-native with monō for EnterpriseTrust & governance
Run it under control.
Governed. Measured. And you can see exactly what it costs.
monō does the same work for a fraction of the spend. It only sends the AI what it actually needs to answer, not the whole history. So a typical task can use up to 70% fewer tokens than running an agent the standard way. Routine, high-volume work runs on cheaper models; the hard calls go to the best models available. And for the work you do most, we tune smaller, faster models built for the job.
You see the cost per agent, in plain numbers.
Governance
Every agent runs under policy. Every action logged, reproducible and reviewable.
Eval & monitoring
Every output scored against your standard before it ships. Drift caught early.
Cost & efficiency
Far fewer tokens than running an agent raw, and the right model for each job.
The pack your risk team will ask for.
Deployed in your cloud. Inference-only, your data is never training data. ISO 27001 certified. The controls map, data-flow diagrams and sub-processor list.
Download the Security Pack
PDF · 4 pages
In your industry
Revenue, in your sector's language.
Questions, answered.
Where does our data live?
On your infrastructure or your private tenancy. monō is inference-only by architecture, your data never trains anyone's models, never leaves your control, never builds someone else's product.
Do we have to migrate off Salesforce or HubSpot?
You don't migrate. Client Intelligence sits on top of Salesforce or HubSpot from day one, reading, enriching, doing the work around it. Replace the legacy system when it's earned, not before.
How fast is it live?
First agents are live inside two weeks. Every customer is paired with a forward-deployed monō engineer through activation.
What exactly is a Tile?
One agentic use case, productised, Client Intelligence is a Tile. A Collection is the set of Tiles that runs the whole function. Tiles work alone and compound together.
Does it get smarter over time?
Yes, that is the point. Every Tile writes to one shared memory, so the next one starts smart: it already knows your accounts, your people and your numbers. Run another collection and it inherits all of it. The Ask tile is that memory, answering.
Can we use our existing OpenAI or Anthropic account?
Yes. Bring your own API keys, they work across every agent and every collection, and you pay the lab exactly what you'd pay them anyway. No markup.
What does it cost to run?
Materially less than pointing a frontier model at the same work raw. The harness sends only the relevant context, checks memory before re-reading, and routes volume work to smaller models.
What does it cost?
Collections are licensed per company, not per seat. Talk to us.
The revenue engine that runs itself.
Revenue is live. Contact us and see it on your own data.