Demos Are Easy. Operations Are Hard.
Every AI demo works. Far fewer survive contact with a shop floor, a support queue, or a Tuesday afternoon outage. Cortex is AI integration for production: models grounded in your real schema and business logic, wrapped in validation and fallbacks, and placed where they change daily decisions — not in a chatbot no one opens. We've run this in live retail operations where the people asking the questions are staff behind a counter, not data scientists.
Ask the Database Anything
On Intouch, retail staff ask questions in plain English — “Who's our best customer?”, “Show me sales by product type” — and get answers in under two seconds. Behind it: a schema-aware pipeline where Gemini generates validated, SELECT-only SQL, executes it, and a second model formats the result — returning charts, not paragraphs, when the data warrants it. Conversations persist, so “show me their purchase history” knows who their refers to. When generation fails, hand-crafted fallback queries answer common patterns instead of returning an error.
“Who is our most loyal customer?”
“Sarah Chen, with £12,400 across 23 orders”
Full conversation persistence — follow-up questions have context
“Who is our most loyal customer?”
“Sarah Chen, with £12,400 across 23 orders”
Full conversation persistence — follow-up questions have context
Automation That Writes Itself
A workflow copilot turns intent into infrastructure. Describe it — “send a thank-you email two days after every purchase over £1,000” — and Claude generates the full trigger–delay–condition–action chain on a visual canvas staff can edit. Underneath, a real execution engine: 20+ domain events, step-based runs with context chaining, template variable resolution, and a full run history. The AI writes the workflow; the engine makes it real.
Drag-and-drop design with fire-and-forget async execution
The Right Model for Each Job
No single model is best at everything, and no single vendor should be a critical dependency. Cortex architectures are multi-model by default: on Intouch, Gemini handles SQL generation (latency, structured output), Claude powers the workflow copilot (multi-step reasoning), and OpenAI drives campaign content. Each is chosen for the task — and each is replaceable without touching the product.
One router, many models — each task dispatched to the model best suited to it, and any model can be swapped without touching the product
Ways to Start
Production Pilot
One workflow, your real data, live in four weeks. We pick the single highest-leverage place AI changes a daily decision, build it into your real systems with validation and fallbacks, and ship it to the people who'll actually use it.
Start with a Production PilotAI Integration
Multi-model architectures, conversational BI, workflow copilots — scoped against your systems and priced per project. The pilot usually tells us both what this looks like.
Have systems that should be smarter?
If your team still answers questions by exporting CSVs, or runs processes a model could handle, that's where we start. Tell us what you run today.