Enterprise Data Platform
A single source of truth for the whole organisation. BigAI consolidates every source system into a governed lakehouse so that every report and every AI model downstream runs on the same trusted numbers.
Learn moreSolutions
From data foundations to AI in real operations
Six capability areas designed to fit together. Start wherever your organisation stands today — BigAI makes sure the later pieces still align on architecture and data.
Roadmap
Where does your organisation sit today?
Four levels of data maturity. Knowing your real position prevents investing in the wrong order — the most common reason AI programmes fail.
Swipe to see the full table
| Level | What it looks like | What to do next | Relevant solution |
|---|---|---|---|
| 1 · Fragmented | Data lives in spreadsheets and isolated systems; reporting is manual. | Consolidate sources, standardise metric definitions. | Enterprise Data Platform |
| 2 · Centralised | A warehouse exists but business users still ask IT for numbers. | Open self-service BI, build a company-wide certified metric set. | Analytics & Business Intelligence |
| 3 · Predictive | Reporting is solid but backward-looking; no predictive models yet. | Deploy an ML use case with clear ROI, measured on business KPIs. | AI & Machine Learning |
| 4 · Automated | Models run in production; scale and cost control are the constraint. | Standardise MLOps, bring agents into operational processes. | MLOps & AI Infrastructure |
Solutions
Six capabilities, one continuous roadmap
Analytics & Business Intelligence
Get the right numbers to the right people, at the right time, with one shared definition. BigAI builds the certified metric layer and opens self-service to business users.
Learn moreAI & Machine Learning
A model only matters when it changes a real decision. BigAI selects use cases by business value, measures them against KPIs agreed up front, and hands over models running in production.
Learn moreGenerative AI & AI Agents
Generative AI pays off when it is anchored to your real data. BigAI deploys RAG systems and agents inside your infrastructure, with every answer traceable to the source document.
Learn moreComputer Vision
Replace human eyes on the tasks repeated thousands of times a day. BigAI deploys vision systems that run inside the factory or store, independent of network conditions.
Learn moreMLOps & AI Infrastructure
The gap between a model that works and a model that runs is infrastructure. BigAI builds the platform that gets models to production quickly, keeps them monitored, and keeps the bill under control.
Learn moreTechnology
Open standards, no vendor lock-in
BigAI favours open source technology and open formats so you keep control of your data and your long-term cost.
Processing & Storage
Apache Spark · Kafka · Flink · Iceberg / Delta Lake · MinIO · PostgreSQL · ClickHouse
Orchestration & Modelling
Airflow · dbt · Dagster · Great Expectations
AI / ML
PyTorch · scikit-learn · MLflow · LangChain · vLLM · Qdrant / pgvector
Infrastructure
Kubernetes · Docker · Terraform · Prometheus · Grafana · on-prem or AWS/Azure/GCP
Engagement
Three ways to work with BigAI
Advisory & Architecture
4–6 weeks
Assess the current estate, design the target architecture and a phased roadmap.
- Data maturity assessment report
- Reference architecture and technology selection
- 12–18 month roadmap with cost estimates
Most common
End-to-end delivery
3–9 months
BigAI owns design through to operational handover, against agreed acceptance KPIs.
- Dedicated team (PM, DE, DS, DevOps)
- Acceptance against KPIs agreed up front
- Documentation and internal team training
- 6 months warranty after go-live
Team extension
Monthly
Add data and AI engineers to your team, working inside your existing process.
- Engineers with 3–8 years experience
- Three-month minimum engagement
- Weekly progress reporting