Service · AI, ML & Deep Learning
AI, ML & Deep Learning
Production-grade ML shipped with evals, monitoring, and cost caps.
AI, ML & Deep Learning
Production-grade ML shipped with evals, monitoring, and cost caps.
What we deliver
Concrete capabilities, shipped.
LLM apps & RAG
Chatbots, copilots, retrieval systems with eval harnesses.
Forecasting
Time-series models for demand, financial metrics, inventory.
Computer vision
Detection, classification, and OCR for documents and images.
NLP pipelines
Classification, extraction, sentiment, entity recognition.
Recommenders
Content, product, and hybrid recommendation systems.
MLOps
Model monitoring, drift detection, automated retraining.
Our approach
A 4-phase playbook for ai, ml & deep learning.
01
Scope
Define the problem, data, and success metrics.
02
Prototype
Small working model with honest eval numbers.
03
Productionise
APIs, caches, and safety rails; integrate with your stack.
04
Monitor
Cost, latency, and quality dashboards — with alerts.
Frequently asked
Answers before you ask.
All of the above. We pick based on quality per ₹ of inference and data-sensitivity constraints.
Yes. We've shipped LLMs on customer VPCs and on-prem GPU clusters for regulated clients.
Every project gets an eval harness: golden datasets, LLM-as-judge, and human review for critical outputs.