Discovery gap
AI can't find what it's never seen
Your past reports, client nuances, deal history, internal comms: none of it exists to a standard AI model. It's working with zero context about your business.
Build Your Company's AI Brain
Standard AI knows the entire internet, but nothing about your business. We build enterprise knowledge graphs that turn siloed company data into a searchable, always-updating AI Brain.
Build Your Company's
AI Brain
Standard AI knows the entire internet, but nothing about your business. We build enterprise knowledge graphs that turn siloed company data into a searchable, always-updating AI Brain.
The Problem
Without Your Context, AI Is Just a Generic Tool
Your most valuable insights are trapped: buried in email chains, scattered across drives, locked in people's heads. AI can't help you if it can't read your history.
Retention risk
Institutional knowledge walks out the door
When a senior partner or key employee leaves, decades of relationships, reasoning, and context vanish overnight. No system captures what they knew.
Siloed systems
Your data silos are invisible walls
CRM knows one thing. Email knows another. SharePoint holds the rest. No human: and no AI: can see the full picture across these disconnected systems.
The 60x Approach
The "OneDrive for AI": Connect Everything, Move Nothing
You don't have a data storage problem. You have a data retrieval problem. Our Knowledge Graph sits on top of your existing systems as a connective intelligence layer: no migration, no disruption.
See how AI Brain works“No rebuild required. AI Brain sits on top of Outlook, OneDrive, SharePoint, your drives, and CRM, then turns disconnected files into live operational context.”
OneDrive-firstDeploy on the stack your team already uses.
OneDrive
Primary working documents synced into AI Brain without changing how your team stores files.
SharePoint
Shared folders, project archives, and knowledge libraries connected as live context.
Outlook
Email threads, attachments, and meeting history available to every workflow that needs them.
Calendar
Schedules and meeting metadata stitched into the decision trail behind each client interaction.
CRM
Relationship history and pipeline context made searchable beside documents and conversations.
Permissions
Security and access controls preserved so the right people see the right context only.
How To Start
Here's exactly how we build it
01Week 1
Define Business Outcomes
We don't start with data: we start with what you need to achieve. What questions should your AI Brain answer? What workflows should it power? We map the Knowledge Graph architecture to your specific business goals.
02Weeks 2–4
Connect & Index Your Data
We integrate directly with your existing systems: Outlook, SharePoint, CRMs, meeting tools, shared drives. The Knowledge Graph begins indexing, understanding relationships between people, projects, documents, and communications.
03Week 4 → Ongoing
Deploy & Continuously Learn
Your AI Brain goes live: fully searchable, dynamically permissioned, continuously updating. As your team works, it learns. Then we layer AI agents on top for automated research, reporting, and intelligence.
Discovery to deployment, every detail designed to deliver immediate margin impact - no consulting theater, no long pilots.
Step 1Week 1
High-Impact Mapping
- Workflow mapping to identify exact bottlenecks
- AI margin impact analysis
- No long consulting phases
Step 2Weeks 2–3
Rapid Prototype
- Working prototype with your actual data
- Proves system works before full deployment
- Real software: not a slide deck
Step 3Weeks 3–4
Guaranteed Outcomes
- KPIs established upfront
- Success aligned directly with yours
- No vague transformation promises
Step 4Ongoing
Scale & Manage
- Enterprise-grade security and compliance
- Scale across your organization
- Zero management overhead: we handle it all
Step 1Week 1
High-Impact Mapping
- Workflow mapping to identify exact bottlenecks
- AI margin impact analysis
- No long consulting phases
Step 3Weeks 3–4
Guaranteed Outcomes
- KPIs established upfront
- Success aligned directly with yours
- No vague transformation promises
Step 2Weeks 2–3
Rapid Prototype
- Working prototype with your actual data
- Proves system works before full deployment
- Real software: not a slide deck
Step 4Ongoing
Scale & Manage
- Enterprise-grade security and compliance
- Scale across your organization
- Zero management overhead: we handle it all
Working Against It
Cowork, in the browser, on your own data
Once the graph exists, most work stops being a request for a report. We built a Cowork-style interface into the platform, running against the graph, and it is how most of our users generate work now.
The retrieval is already done
Point a general-purpose AI at your document stores and CRM and it spends its session searching, finds part of what it needed, and has little time left to think. Against a pre-built graph retrieval is close to instant, so the session goes on analysis.
Artefacts, not just documents
A document is a snapshot of an answer. We increasingly ship the answer itself: something a person can interrogate, ask a follow-up of, and steer, with the model underneath rather than behind it.
It stays under your permissions
What gets built lives in your platform, scoped the way the rest of your graph is, rather than inside another vendor's organisation boundary.
See One For Yourself
Goal Setting When OKRs Never Stick
Seven founders who all tried OKRs and none of whom kept them. 107 linked notes from one 73-minute workshop, August 2026. Built with the same pipeline that runs on a firm's own files, email, CRM and meeting notes.
Inside the explorer you can ask it a question and watch the agent walk the graph to answer it.
Explore the graphs- Notes
- 107
- Links
- 624
- Sources
- 152
Read Next
The three questions that come after the demo
What did we know then?
Every fact carries when it was true and when your firm found out, so any view can be read as of a date. Includes a record you can drag through time.
Trust and determinism
Which outputs are computed in code, which are retrieved from a source, and which a model wrote. Plus how an answer is traced back to its records.
Permissions and two brains
Every node and edge carries its own permission tag, and everyone gets a private brain alongside the company one.
Frequently Asked Questions
Typical deployments go live in 3–4 weeks. We start indexing in week 1 and continuously expand coverage. The system is usable from the first week of data connection.
No. The Knowledge Graph connects to your existing systems: Outlook, SharePoint, OneDrive, CRMs, meeting tools. Your data stays exactly where it is. Zero disruption.
Dynamic, role-based permissioning is built into the foundation layer. Every query respects your governance policies. We support on-premises deployments for strict data sovereignty.
Virtually anything your team uses: email (Outlook/Gmail), shared drives (SharePoint/OneDrive/Google Drive), CRMs (Salesforce/HubSpot), meeting tools (Teams/Zoom recordings), internal databases, and more.
Enterprise search finds documents by keyword. Our Knowledge Graph understands relationships: it maps people to projects, documents to decisions, and communications to outcomes. It answers "who do we know" questions, not just "where is the file."
Their entire context: client relationships, project history, deal reasoning, communication patterns: remains perfectly preserved and searchable in the Knowledge Graph. Zero knowledge loss.
Yes: that's exactly the point. The Knowledge Graph is the foundation layer. Once it's in place, we rapidly deploy custom AI agents (automated analysts, report generators, lead scorers) that can actually "read" your company's history.
Pricing is based on the complexity of the build and the outcomes defined upfront. We offer one-off project deployments, retainers for ongoing optimization, and platform licenses. Book a discovery call to scope your specific needs.