Enterprises don’t have a data problem - they have a meaning + execution problem
“Add ChatGPT/ Copilots to workflows”
“Train the model on your data”
“Ask question, get answers from your database”
“Search your docs with AI”
No domain knowledge: doesn’t understand YOUR business
Can’t reason over your data
No action
Hallucinations
Expensive
Frozen: model can’t adapt to new data
No traceability
Vendor lock-in
Schema blindness
Single-Source: works on ONE database, not 10+ systems
Returns tables, not decisions
“Lots in the middle”: struggles with complex queries
Loses structure
Hallucinations
Low accuracy on complex queries
“From AI demos to AI systems that execute.”
Siloed data - Information trapped in disconnected systems
Manual search - Hours spent finding the right document
Slow decisions - Weeks to gather context for critical choices
AI demos that don’s ship - Pilots that never reach production
Lost expertise - Knowledge walks out the door with employees
Rework and errors - Missing context leads to mistakes
Connected knowledge - One graph linking all your data
Instant context - The right information in seconds
Fast decisions - Context-rich insights on demand
AI systems that execute - Agents in production, delivering value
Preserved expertise - Organizational knowledge captured in the graph
First-time-right - Full context prevents errors
