Data Platform
The data foundation that
makes every AI agent reliable, auditable & safe.
A pre-assembled modern data lakehouse, a digital data twin of your business, and 50+
plug-and-play integrations — unified automatically, always up to date. Live in 4–8 weeks.
No-code
Go-live
50+
Plug & play integrations
90%
Lower TCO vs self-built
100%
Customers · NPS 85
Platform architecture
Every layer. One platform.
From source systems to AI agents — built on Microsoft Azure.
⬢ Microsoft Azure
The Ontology automatically integrates the relevant data, logic and action components into a modern, AI-accessible computing environment.
Integration
50+ plug-and-play connectors, with a pipeline that never sleeps.
All your systems unified automatically — and kept that way. Pre-built
connectors to leading operational systems, plus a managed
transformation pipeline that turns live data into your digital data twin
without a BI team.
connectors to leading operational systems, plus a managed
transformation pipeline that turns live data into your digital data twin
without a BI team.
50+ plug-and-play integrations across Accounting, ERP, CRM, E-
commerce, Billing, HR, Marketing, Logistics, IT and more.
commerce, Billing, HR, Marketing, Logistics, IT and more.
Managed transformation pipeline — live ingestion, raw snapshots, cleaned data and governed products, all maintained for you.
Custom systems on request — APIs to almost any operational tool, delivered by our forward-deployed engineers.
Always up to date — continuous syncs, automatic schema reconciliation, monitoring and alerting built in.
Data pipeline
From raw data to clean, governed data products.
Medallion architecture — Bronze, Silver, Gold — continuously refining your data for reporting, analytics and AI.
Data storage
Built on a data lakehouse.
The most modern data infrastructure — combining the structure of warehouses with the flexibility of data lakes. Powered by Dremio.
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Legacy
Data Warehouse
2010s
Data Lake
Modern
Data Lakehouse
Definition
A data lakehouse is a modern data architecture that combines elements of data lakes and data warehouses — creating a unified platform for data management and analysis. It overcomes the limitations of conventional approaches while keeping the strengths of both.
Advantages of a data lakehouse
Simplifies architecture — separate systems for data lakes and warehouses no longer required
Reduces redundancy and minimises complex pipelines between systems
Improves data access and performance for a wide range of users and tools
Flexible for evolving data requirements and analytics workloads
Digital data twin
A living mirror of your business — always consistent, always current.
ValueWorks consolidates fragmented information from every operational system into a unified ontology. Customers, products, projects, contracts — all reflected with their real relationships and dependencies, so every KPI, forecast and AI agent works on the same trusted truth.
Unified ontology across customers, products, projects and contracts — defined once, reused everywhere.
KPI driver trees, auto-built from connected ERP, CRM and billing data — Revenue/Employee, CLV/CAC, Rule of 40, all live and linked.
Actual · Plan · Forecast on every node — instantly spot where reality diverges from plan and quantify the gap.
Foundation for GenAI — analyses both structured and unstructured data, so co-pilots stop hallucinating.
Semantic Data Layer
From raw data to business-ready knowledge.
The intelligent foundation that turns data into knowledge — structured, connected, and instantly understandable by both people and AI.
Data Products
with descriptions & API
Clearly defined, documented entities — Orders, Accounts, Products, Consumers, Campaigns — with descriptions, attributes and API access. A shared, reliable source of truth.
Ontology
relations between data products
A visual map of how data products relate — capturing the logical connections across your business landscape, so context is never lost.
KPI Glossary
formulas & descriptions
A centralised library of KPI definitions, formulas and plain-language descriptions — every metric understood and measured consistently across the org.
KPI Tree Builder
AI-generated
An AI-powered tool that automatically constructs KPI impact trees — revealing how financial and operational drivers connect and influence top-line results.
Together, these four components eliminate ambiguity, accelerate analysis and empower every stakeholder — from the CFO to the data team — to speak the same language.
MCP Server
Connect any AI assistant to your business data — instantly.
The ValueWorks MCP Server bridges your data platform with the AI tools your teams already use — every response grounded in accurate, governed, context-rich data.
