AI & Machine Learning Development in Hyderabad
Ship production-ready AI—strategy → model selection → MLOps → measurable impact.
Who We Help
Product leaders, founders, and engineering teams who need AI that reaches production (and stays reliable).
What We Build
- Retrieval-Augmented Generation (RAG) apps and copilots
- Intelligent search, recommendations, personalization
- Predictive models (classification, time series, forecasting)
- Agents & automation (tool use, workflows)
- MLOps pipelines (training, evals, monitoring, rollback)
How We Work
- Discovery (1–2 weeks) — goals, constraints, success metrics
- Solution design — data, architecture, baselines
- Build — iterative sprints with demos
- QA & evals — accuracy, latency, safety, cost
- Launch — infra, scaling, observability
- Operate — monitoring, drift checks, retraining
Stacks
OpenAI / Anthropic / Llama • LangChain/LlamaIndex • FAISS/pgvector • Python • FastAPI • Docker/K8s • Grafana/Prometheus • AWS/Azure/GCP
Results
- Support Copilot: 35% deflection, <2.5s latency
- Forecasting: +9% MAPE improvement vs baseline
- Document QA: 92% grounded answers in eval set