- For Your Function
DataTheta AI & Data Solutions by Role
- The Problem
Every function needs intelligence. Most still run on fragments.
- CFO & Finance
Month-end still takes too long, forecasts live in spreadsheets, and margin visibility is buried across systems.
- Supply Chain
Demand plans rely on history, inventory decisions are reactive, and supplier risk becomes visible too late.
- CIO & Technology
Data platforms remain siloed, AI pilots rarely reach production, and governance is difficult to scale.
- Operations & Plant
Maintenance is reactive, OEE is reported after the fact, and quality issues are found downstream.
- Commercial & Revenue
Churn is detected too late, pricing relies on gut feel, and attribution does not reflect how customers actually buy.
- Capabilities
What we build for each business function.
DataTheta designs function-specific AI, analytics, and data systems that connect business context to measurable outcomes.
Finance Intelligence
- Real-time P&L and margin analytics
- AI-powered forecasting
- Scenario and what-if modelling
- Finance copilot
Supply Chain Intelligence
- AI demand sensing
- Inventory optimisation
- Supplier risk scoring
- S&OP command centre
Technology Enablement
- Enterprise data platform
- MLOps and AIOps infrastructure
- Data governance framework
- GenAI and RAG infrastructure
Operational Intelligence
- Predictive maintenance
- OEE intelligence
- Quality analytics
- Plant command centre
Commercial Intelligence
- Churn prediction
- Dynamic pricing intelligence
- Customer segmentation
- Next-best-action engine
40+
AI systems in production
8 Weeks
Average time to first outcome
34%
Forecast accuracy improvement
3X
Faster decision cycles
$180M+
Revenue influenced by AI
68%
Manual processing eliminated
- How It Works
From function pain point to production intelligence.
DataTheta starts with the business outcome, connects the right data, builds the intelligence layer, and embeds it into how teams actually work.
Discover
Map the function's goals, workflows, pain points, and data sources.
Design
Define the data model, analytics layer, AI use cases, and governance approach.
Build
Create pipelines, dashboards, models, copilots, and decision workflows.
Deploy
Embed intelligence into existing tools, teams, and operating rhythms.
Improve
Monitor adoption, accuracy, outcomes, and continuously improve the system.
ICP FAQs
Latest Blogs
Explore practical insights on data strategy, AI readiness, analytics, and building production-grade AI systems.
