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ML Classification

Automatic classification of documents, emails, tickets or records. Models trained on your real data and operated in production.

What we deliver

  • Dataset preparation and labelling
  • Trained classification model + scoring API
  • MLOps pipeline and quality monitoring
  • Retraining plan and knowledge transfer
Pythonscikit-learnAzure MLMLflowDocker

Our 5-step approach

From audit to production. Across every domain.

1

Audit & Scoping

Analysis of your data, infrastructure and constraints (GDPR, security, legacy).

1 week
2

Technical PoC

A working prototype to validate the chosen approach.

2 weeks
3

Development

Building the full system, pipelines and user interface.

3–5 weeks
4

Testing & Tuning

User tests, performance tuning, edge-case fixes.

1–2 weeks
5

Rollout & Training

Go-live, documentation and training of internal teams.

1 week
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