Practice 4 · Any Sector · Mid-Size to Enterprise

Data & AI Engineering

We design and build modern data platforms, retire legacy estates, and take machine learning and AI into production, so data and AI make a measurable difference to how your organisation works.

  • Data Platforms
  • ML & AI in Production
  • Model-agnostic
  • With Dataframe

From First Conversation to Lasting Capability

Every engagement starts with the business problem and a clear measure of success.

1

Discover

Understand your goals, data, systems and constraints, and agree what success looks like in measurable terms.

2

Prove

Show value quickly with a focused prototype or proof of value, so decisions rest on evidence.

3

Build

Deliver production-grade solutions in short iterations, with AI used throughout delivery and engineers reviewing every change.

4

Embed

Hand over documented, tested work, train your team, and stay on to support and improve where you need us.

  1. 1Data Platforms & Analytics
  2. 2Data Migration
  3. 3Machine Learning
  4. 4Bespoke AI Solutions
  5. 5AI Adoption
  6. 6Ways to Engage
1

Data Platforms & Analytics

A modern data platform your business, and your AI, can trust.

  • Data platform strategy, architecture and tool selection
  • Ingestion and pipelines, batch and near real-time
  • Data modelling and transformation to analytics engineering practice
  • A semantic layer with consistent definitions for business metrics
  • Dashboards, self-service analytics and questions answered in plain English
  • Data quality, testing, governance, access control and lineage
2

AI-Driven Data Migration

Leave legacy warehouses, ETL and BI behind faster, at lower cost and with less risk.

  • Automated discovery of the legacy estate: code, dependencies, lineage and usage
  • Target architecture, migration waves and a plan based on evidence
  • AI-assisted conversion of SQL, stored procedures, ETL jobs and reports, reviewed by engineers
  • Automated data reconciliation and parallel running to prove old and new results match
  • Controlled switch-over and decommissioning of legacy systems
  • Typical sources: SQL Server, Oracle, Teradata, Informatica, SAP BusinessObjects, Cognos, spreadsheet-based processes
3

Machine Learning Engineering

Models that make it to production, and keep performing once they are there.

  • Use-case framing, feasibility and value assessment
  • Data preparation, feature engineering, model development and benchmarking
  • Explainability, bias and fairness checks
  • Deployment as batch pipelines or real-time APIs
  • MLOps: monitoring, drift detection and retraining
  • Typical uses: demand forecasting, pricing, churn, anomaly detection, predictive maintenance
4

Bespoke AI Solutions

AI applications, assistants and agents built around your data, processes and systems.

  • Knowledge assistants grounded in your own documents, policies and data
  • Document processing: extracting, classifying and validating data from contracts, invoices and forms
  • AI agents and workflow automation across your systems and APIs
  • Retrieval-augmented generation and knowledge pipelines
  • Evaluation, guardrails, human review steps, security and cost control built in
  • Leading models from Anthropic, OpenAI, Google and others, or open-weight models in your own cloud
5

AI Adoption & Enablement

Measurable value from the AI tools your organisation already has.

  • AI readiness and opportunity assessment
  • Use cases ranked by value and feasibility
  • Tool selection, configuration and secure rollout of Microsoft Copilot, ChatGPT, Claude or Gemini
  • AI policy, governance and risk management
  • Training for leaders, teams and power users, and AI champions programmes
  • Measuring adoption and impact
6

Ways to Engage

Lead the work end to end, or join your team and work alongside them.

  • Discovery and assessment: a fixed-scope review ending in a prioritised, costed roadmap
  • Project delivery: agreed outcomes end to end, fixed price or time and materials
  • Embedded experts: data, ML and AI engineers joining your team
  • Training and workshops for leadership, technical teams and business users
  • Ongoing support: monitoring, maintenance and continuous improvement
  • You own it: your code, your data, your IP

Let's Get Started

Tell us about the programme, the validation, the data platform or model you need built, or the process you want to hand to AI. We reply within one working day.

Get in touch Company brochure
Email
info@itart.ch
Office
Basel, Switzerland