Mentat Commons

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Machine Learning Consulting

Auditing dataset leakage, model calibration, and containerized ML pipelines.

Published: 2026-08-01•Last Updated: 2026-08-07

What is this service?

Develop and audit predictive engines, regression models, and computer vision classifiers using rigorous testing protocols.

Who is this for?

Engineering teams and product managers who require production-grade predictive models and statistical audits.

Pricing & Engagement

  • Starting from: ₹20,00,000
  • Typical range: ₹20,00,000 - ₹50,00,000
  • Pricing Model: Milestone-based project engagement
  • Engagement timeline: 4 to 8 weeks

Typical Problems We Resolve

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Dataset leakage causing overoptimistic offline test metrics.

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High latency and inference costs in model serving pipelines.

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Inability to integrate custom CV or NLP classifiers into legacy systems.

Key Deliverables

Data Leakage Audit Report
Custom Classifier Python Packages & Docker Files
Model Performance Evaluation Dashboard

Technology Stack

PythonPyTorchscikit-learnCUDAFastAPIDocker

Expected Outcomes

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Zero-leakage model evaluation ensuring realistic production accuracy.

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Model inference latency reduced by up to 50%.

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Fully containerized, repeatable model builds.

Next Steps & Engagement

Schedule an engineering alignment session to define target classification metrics and input datasets.