Data Engineering
- Lakehouse platforms
- Pipelines & orchestration
- Data quality & governance
Data & AI Centre of Excellence
From raw data to AI that works in production
One team that puts data engineering, machine learning and AI engineering under one roof, and takes each use case from idea to production, measured from day one.
- Data Engineering
- Machine Learning
- Generative & Agentic AI
- Computer Vision
2 wkAI readiness assessment: data mapped, use cases scored
1–3 wkProof of value: a working pilot on your real data
59+Years of founding team’s experience across software, data and AI
01 — The opportunity
Most AI ideas stall before they reach daily use
Growing businesses hit the same four walls. The CoE is built to take each one down.
Scattered data
Data spread across apps, spreadsheets and SaaS tools, with no single trusted version.
Pilots that stop
Proofs of concept that impress in a demo but never become part of the daily work.
Unmanaged risk
No evaluation, guardrails or cost limits once AI meets real users and real data.
Missing skills
Building a full data and AI team in-house is slow and costly for a growing business.
Our answer
A Centre of Excellence that puts data engineering, machine learning and AI engineering under one roof, and takes each use case from idea to production.
- One team, one engineering standard
- Data foundations before models
- Measured from day one
02 — The Centre of Excellence
Four practices. One team. One standard.
Every engagement uses the same standard, whichever practice leads.
Blesis Data & AI Centre of ExcellenceFrom raw data to AI in production
Machine Learning
- Forecasting & prediction
- Anomaly & fraud detection
- MLOps in production
Generative & Agentic AI
- Assistants on your data
- Agents that take action
- Copilot & automation
Computer Vision
- Visual quality inspection
- Document & text reading
- Video & safety analytics
Foundation
Data governance
Security & privacy
MLOps & LLMOps
Responsible AI
Cost control
03 — Practice · Data Engineering
Data foundations your AI can trust
Data engineering is the base of every AI outcome. We land data from your systems, clean and model it in bronze, silver and gold layers, and serve it to dashboards, models and agents.
Sources
Your systems
ERP, CRM, apps, files, IoT and SaaS tools
Bronze
Raw
Landed as-is, with full history
Silver
Clean
Cleaned, joined and validated
Gold
Business-ready
Modelled for reports and AI
Consume
Your outcomes
Dashboards, ML models and AI agents
Lakehouse & warehouse design
Medallion architecture on Databricks or Microsoft Fabric.
Pipelines & orchestration
Batch and streaming pipelines, scheduled and monitored.
Data quality & observability
Checks, alerts and lineage, so numbers can be trusted.
Migration & modernisation
Move ageing warehouses and scripts to a modern platform.
Platforms we work with
Databricks
Microsoft Fabric
Apache Airflow
Apache Spark
Azure Data Factory
Python & SQL
04 — Practices · Machine Learning & Computer Vision
Models that predict, detect and see
Each model is tied to a business decision and a measure.
Machine Learning
Predictive models tied to a business decision, run with MLOps so they stay accurate.
Demand & sales forecasting
Churn & credit risk scoring
Anomaly & fraud detection
Predictive maintenance
Toolsscikit-learnPyTorchAzure MLMLflow
Computer Vision
Cameras and documents turned into data your teams can act on, in real time.
Defect detection on the line
Document reading (OCR & forms)
Object detection & counting
Safety & PPE monitoring
ToolsOpenCVPyTorchYOLOAzure AI Vision
05 — Practice · Generative & Agentic AI
From assistants to agents that get work done
Generative AI that knows your business, and agents that act on it, introduced step by step with guardrails at every stage.
Assist
Copilots and chat assistants that answer from your own documents and data.
Grounded answers · cited sourcesAutomate
Workflows where AI reads, sorts and drafts, and people approve.
Email triage · document intake · n8n flowsAct
AI agents that plan, use your systems and finish tasks, with human checks.
Order handling · IT and HR service agentsMore value, more autonomy
Platforms we build on
Microsoft Foundry & Azure OpenAI
M365 Copilot & Copilot Studio
n8n workflow automation
LangChain & LangGraph
Model Context Protocol (MCP)
Guardrails on every agent
Evaluation
Grounding
Human approval
Cost limits
06 — Use cases
Where Data & AI pays off first
Pick one use case with clear value and good data; prove it in weeks, then reuse the same foundation for the next.
Computer Vision
Visual defect detection
Machine Learning
Predictive maintenance
Machine Learning
Demand forecasting
Generative AI
Smart product search
Vision & AI
KYC and claims document processing
Machine Learning
Fraud and anomaly detection
Generative AI
Clinical note summaries
Machine Learning
Capacity forecasting
Generative AI
AI tutors and practice tests
Analytics
Student progress analytics
Machine Learning
Route and ETA prediction
Agentic AI
Agents for orders and email
Start with one use case: clear value, good data, a measure agreed up front. Then reuse the foundation for the next.
07 — How we engage
From first idea to AI in production
012 weeks
AI readiness assessment
Map your data, shortlist use cases with clear value, and score each for feasibility.
021–3 weeks
Proof of value
A working pilot on your real data, judged against success measures agreed up front.
03Sprints
Production build
Secure, integrate and harden; add monitoring, evaluation and cost limits.
04Ongoing
Run & improve
MLOps and LLMOps, model updates, and new use cases on the same foundation.
Responsible AI, built in
Evaluation before launch
Guardrails & grounding
Human in the loop
Your data stays yours
Cost visibility
08 — Why Blesis
Why growing businesses choose our CoE
Senior-led
Our founding team brings 59+ years across software, data and AI, and leads every engagement.
Production, not demos
Every engagement ends in something your people use every day.
The right stack for you
Microsoft or open source, chosen for fit with your data, budget and team.
Built to hand over
Documentation, training and knowledge transfer are part of the work.
The CoE team
CoE leadManaging Director, Data & AI
Solution architectPlatform and AI architecture
Data engineersPipelines, lakehouse, quality
ML & vision engineersModels, MLOps, computer vision
AI engineersAssistants, agents, automation
Start here
Let’s find your first AI win
Bring one business problem. We’ll map your data, shortlist use cases and outline a pilot you can measure. We reply within two business days.