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One source of truth for your entire business, from raw data to boardroom KPIs. So every team works from the same numbers, every time.
Trusted by
We build the data foundation underneath your business. Not another dashboard, but the layer that makes every dashboard, report, and KPI trustworthy.
Five components that together give your organisation complete visibility into its data — from raw sources to AI-powered querying.
Three purpose-built reporting domains aligned to how companies are structured: Commerce Atlas (go-to-market, unit economics), Finance Atlas (margins, financial operations), and Operations Atlas (utilisation, capacity). Each delivers periodic dashboards and trend analysis tailored to the domain's owners and targets.
View in docs →A unified, navigable interface that maps your entire data architecture. Source tables are shown post-transformation with aggregations for fast analysis. Each critical metric gets its own dedicated page with a scorecard, numerator/denominator breakdown, and business context provided by the client.
View in docs →Automated, client-specific tests that continuously validate data entries and business workflows. Each test is assigned an owner, a deeplink for direct resolution at the source, a context description, and a unique test ID — keeping data quality accountable and easy to communicate across teams.
View in docs →A live flowchart of your full data pipeline from extraction through transformation to consumption. Every stakeholder can see how data moves across your architecture — which systems are involved, what the current status is, and where bottlenecks occur. Invaluable when planning refactors or expansions.
View in docs →We configure multiple Model Context Protocol servers tailored to specific use cases and agentic workflows — each one exposing the right slice of your semantic layer to the right AI system. Whether it's a customer-facing agent, an internal analyst assistant, or an automated reporting workflow, every MCP server is purpose-built for how that agent actually needs to query your data.
View in docs →We work with the leading modern data stack tools, keeping clients in full control of their own infrastructure.
The Semantic Nexus is underpinned by three frameworks that cover architecture, performance tracking, and security.
Best practices for building a data pipeline and data model that is robust, flexible, and low cost — refined over years of real client work.
View in docs →A systematised way of presenting the data model that strikes the right balance between simplicity and depth for all stakeholders.
View in docs →A structured set of security checks designed for client-side and open-core architectures, where the security environment is inherently more complex.
View in docs →The Semantic Nexus has been deployed across financial services, maritime engineering, safety certification, and AI. Each with their own complexity, each now running on one source of truth.
Moved from a rigid legacy BI tool to a modern, scalable pipeline, unlocking cohort analysis, CAC/ARR tracking, and automated shareholder reporting.
Hour-tracking, planning, bookkeeping, and sales were all in separate systems with conflicting numbers. Now they run on a single model with consistent reporting across departments.
ERP, CRM and bookkeeping data was disconnected. We built a complete stack including 30+ custom HR reports, a REST API for marketplace sync, and embedded analytics.
Ahead of an investment round, they needed consistent metric definitions across all teams. We built a unified stack with embedded analytics for their client portal.
No pitch deck, no discovery workshop, no obligations. Just a direct conversation about your data and what it should be doing for you.
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