Before AI, your company needs a foundation: explicit business rules, governed data and a simulation platform where you can test scenarios without breaking anything. That's exactly what a good planning model already is — the building block on which AI starts producing explainable answers, not well-written guesses.
We're business people who understand technology. We build the planning models that become the foundation for AI and put intelligence to work on top of them. We don't sell "magic AI" — we deliver the controlled foundation that makes AI reliable: explicit business rules, versioned data, access control and auditable scenarios.
We don't treat AI as a standalone product. It grows out of what we've already built for you, across three fronts that build on one another: the reliable foundation, the custom solutions on top of it, and the orchestration of agents that get the work done.
A scenario engine where your business rules are explicit and controlled. Testing assumptions becomes a click — and every number has logic you can audit.
Good AI needs good data. We structure a single source, integrated with the ERP, versioned and auditable — the right fuel for any AI model, with no garbage getting in.
Forecasting, optimization and anomaly detection working on a model that already knows the business rules — with every result explainable and traceable.
The next step, as the foundation matures: natural-language questions over reliable numbers, with business guardrails — AI answers from the model, it doesn't make things up.
Everyone wants AI in the enterprise, but jumping straight to a language model on top of scattered spreadsheets is a recipe for hallucination dressed up as a report. Without explicit business rules, without governed data and without somewhere to simulate, AI has no way of knowing what's true in your business.
A planning model solves this because it's already a simulation platform with controlled rules and structured data — the building block that was missing. On that foundation, AI stops being a black box and starts delivering explainable, auditable scenarios. That's why we start with the foundation: the reliable model first, then the intelligence on top of it.
Scenario simulation, forecasting with machine learning or a copilot over governed data — tell us the context and we reply within 24h.