ManagedAnalytics is a layered platform. Your data sources stay where they are. The digital twin sits above them, encoding your business logic. AI agents reason over the twin. Plug-in modules add capability without re-architecting. Every layer is open, secure, and audit-ready.
Native applications · Microsoft 365 · Power BI · Tableau · partner apps via API.
Composable capability you turn on as you need it.
LLM agents reason over the twin, not the warehouse.
A live, executable model of how your business actually works — data + structure + business logic + metadata.
Stays where it is. We connect to it.
ManagedAnalytics does not require you to move your data. We integrate with the systems you have already invested in — operational, financial, planning, IoT, ERP, EAM, time-series, document. Your warehouse, lakehouse and operational systems remain the source of truth. The twin reads from them; we never become a competing data store.
— Push or pull. Real-time streaming, near-real-time CDC, scheduled batch, event-driven, file-based, API-based.
The twin is what makes everything else possible. It is not a glossary, not a semantic layer, not a dashboard model. It is an executable representation of how your business actually runs — assets, processes, value chains, costs, revenue drivers, operational constraints, organisational rules and decisions.
Of your operational and financial reality, pulled from the systems in Layer 1.
Assets, sites, business units, value chains, organisation. Built as a drag-and-drop visual model.
How constraints bind. How processes interact. Encoded once, used everywhere — no re-defining KPIs every time someone builds a report.
Capacity ratings, working calendars, units of measure, asset criticality, lineage. Makes the model self-aware.
Because business logic is encoded in the twin — not buried in BI reports, scripts or spreadsheets — there is one place where "what gross margin means" is defined, and every output downstream uses that definition.
LLMs are pattern-matchers. Drop them on raw enterprise data and they hallucinate, misattribute, and produce confident nonsense — because the data has no embedded sense of what is happening. Drop them on a digital twin and they reason. Causal explanations become possible. Scenario answers become defensible. Constraint analysis becomes computable.
Every AI output carries lineage (where the data came from), provenance (which twin elements were used), and confidence (how grounded the answer is). Required for board, audit and regulator-facing use — and the reason executives trust the platform with decisions, not just summaries.
Modules sit on top of the twin and share its data and business logic. You configure the modules you need today — and add more capability over time without re-architecting, re-modelling or re-integrating.
Time-series, variance, sensitivity, value-driver analysis — running on the twin.
Learn moreRun the operating cadence on the model — dashboards, scorecards, meetings, packs, actions.
Learn moreInitiatives tied to the drivers they move. End-to-end portfolio management.
Learn moreConstraints, capacity, discrete-event simulation, goal-seek, ML, Monte Carlo.
Learn moreMulti-mode distribution, least-cost routing, constraint-aware planning.
Learn moreCarbon, costed. MACC curves, pathways, asset-level emissions.
Learn moreStrategy as a living management system — eight-step workflow on the twin.
Learn moreOutput is wherever your teams already are. Native ManagedAnalytics applications, embedded experiences in your existing tools, BI integration, and the API for everything else.
Every part of the platform is API-accessible. Read from the twin. Write to the twin. Trigger AI agents. Run scenarios. Generate packs. Subscribe to events. The API is how partners and customers extend ManagedAnalytics into their own applications, automations and downstream systems.
ManagedAnalytics is deployed in regulated, board-facing and capital-market-facing workflows. Security and audit are not bolted on — they are part of the architecture, present at every layer.
Most customers deploy ManagedAnalytics in our managed cloud. Customers in regulated industries or with sovereignty requirements deploy in their own private cloud (AWS, Azure, GCP) or on-premises. The platform, twin and all modules are identical across deployment modes — only the operational responsibility differs.
A technical briefing covers integrations, twin construction methodology, security posture and deployment options. Typically a 60-minute call with our solutions team.
