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Data layer · AI-enhanced analytics · actionable insight

Your data. Finally connected.

Connect your systems and spreadsheets in one governed data layer. Turn trusted metrics into AI-enhanced analytics and answers your team can act on.

Illustration: four scattered sources — an ERP, a CRM, an operations tool and spreadsheets — each report a different margin. They flow along ribbons into a governed data layer that reconciles entities, defines metrics and keeps lineage, and from there into one trusted margin-by-site view.

How the data layer works

01

Scattered sources

Systems and spreadsheets that each hold part of the truth.

02

Governed layer

Entities reconciled, semantic metric definitions written once, lineage kept readable.

03

AI-enhanced analytics you trust

Turn trusted data into clear insights, confident decisions, and practical next steps.

Intelligence, built on your data

  • Trend analysis
  • Predictive forecasting
  • Action-ready intelligence
  • Your personal AI chat assistant
  • Benchmarking against industry standards

Forecasts require suitable history; benchmarks use validated industry references. AI capabilities are configured for each deployment.

Sixteen demos · synthetic data

See it in your industry.

Search, preview, and open any demo. Figures are computed live in your browser from synthetic records, and the assistant runs in local grounded mode — no customer data, no language model.

Ten minutes, in your browser

Where does your own data stand?

Answer a short set of questions about your sources, spreadsheets and reporting, and get a recommendation you can print. Nothing is submitted or stored.

  1. Map your sources. What you run on today, spreadsheets included.
  2. Score the gaps. Reconciliation, definitions, governance.
  3. Get the plan. A prioritized sequence, printable as a PDF.