Simple.
Outcome-driven.

Baseline model training on static, historical data.

• Data Scope: Up to 10GB / Single Dataset
• Model Type: Standard ML or Basic Fine-Tuning
• Compute: Included up to ₹30K
• 1 Trained Model
• Evaluation & Accuracy Report
• API Endpoint setup
• 2-week iteration window

Active models requiring continuous retraining.

• Data Scope: Continuous data pipelines
• Model Type: Deep Learning / NLP / Ongoing Fine-Tuning
• Compute: Pass-through (Client pays AWS/GCP)
• Weekly model retraining
• Model drift monitoring
• Feature engineering updates
• Monthly performance review

High-security, on-premise, or massive scale models.

• Data Scope: Multi-source, unstructured data lakes
• Model Type: Custom Foundational Models / RAG
• Compute: Pass-through / On-Premise
• Dedicated ML engineer on-site
• Custom LLM fine-tuning
• Data security/compliance layer
• Full IP transfer of weights