Description

General-purpose models are trained on aggregate behavior. Where competitive advantage depends on patterns specific to your customers, suppliers or operations, a model trained on your own history is a materially different asset.

We prepare and validate the training data, develop and evaluate candidate models, and deliver an evaluation report stating measured performance and known failure modes rather than a single headline metric. The selected model is deployed behind a production API, and the engagement includes handover to MLOps so that monitoring and retraining continue after delivery.

Engagements run eight to twelve weeks with two machine learning engineers on time and materials with milestone billing, and suit a specific decision currently made on intuition or a rule-of-thumb spreadsheet.

What is included

• Data preparation and validation
• Model training and evaluation report
• Production API
• Handover to MLOps (IP-AIM-05)

Duration: 8-12 weeks  ·  Model: Time and materials with milestone billing  ·  Team: 2 ML engineers  ·  Reference: IP-AIM-03

Best for: Enterprises holding proprietary data and a recurring decision worth automating with measurable accuracy.

Prices in USD, excluding applicable taxes. Figures are indicative and confirmed following a Discovery engagement (IP-CSD-01).