Most AI projects die in the gap between a promising proof of concept and a stable production system. We close that gap — from data architecture through inference serving, monitoring and retraining pipelines.
Our team ships models for finance, CPG, logistics, healthcare, retail and research use cases: demand forecasting, churn prediction, fraud detection, route optimization, visual inspection, OCR and customer intelligence. Every engagement ends with documented APIs, runbooks and handoff training — not just a model file.
Custom GPT-4o / Claude / Gemini fine-tunes, RAG pipelines, tool-calling agents and multi-agent orchestration with LangChain or LlamaIndex.
Time-series forecasting (ARIMA, Prophet, TFT), demand prediction, churn models, CLV scoring. Ensemble methods for volatile markets.
Detection, recognition, identification, OCR, automated counting, defect inspection, grading, visual database tagging and event monitoring from images or video.
Entity extraction, classification, sentiment, summarization and structured data extraction from unstructured documents at scale.
Feature stores, model registries, A/B experimentation, drift detection, automated retraining pipelines and compliance-grade audit logs.
Model quantization, ONNX export, TensorRT optimization and deployment to mobile, IoT devices and on-prem hardware.
We prioritise commercial AI searches with clear implementation intent: AI development services, AI automation services, LLM agent development, RAG chatbot development, document AI, computer vision automation and predictive analytics consulting.
For global demand, we position from Mumbai into New York, London, San Francisco, Singapore and Bengaluru: senior engineering depth, India delivery leverage and weekly production accountability.
Ensemble ARIMA + gradient boosting model for Patanjali. 4-week MAPE window, −18% hedging cost, 3× faster planning cycle.
Read case study → Research · DERAG-based support agent for Statista. 84% containment rate, −71% avg. handle time, multilingual (EN/DE/FR).
Read case study →LLM agents, RAG copilots, document extraction, computer vision, predictive models, workflow automation and MLOps-backed APIs.
Yes. We deliver from Mumbai for teams in the US, UK, Europe, Singapore and India with weekly demos and clear async rituals.
Most AI automation builds run 6–16 weeks from discovery to production handoff, depending on data and integration readiness.