Everything we offer orbits two specialisms — real-time observability and AI-native applications — supported by the engineering capability to take either from requirement to production.
Enterprise observability stacks on ClickHouse — sub-second queries over petabyte-scale event data. Ingestion, streaming, analytics, alerting, and business dashboards, architected end to end.
LLM-enabled mobile and web applications with observability embedded. Flagship: MedZyGo — multilingual healthcare discovery for tier-2/3 India. Also conversational commerce and beyond.
Our AI-native delivery methodology — the AI-era successor to SDLC. A disciplined loop with observability and evaluation woven into every stage, not bolted on at the end.
Executive and technical alignment on an AI adoption roadmap grounded in your data maturity, business goals, and risk tolerance — not vendor hype.
Cloud-native, AI-first architecture — scalable from day one, observability instrumented throughout. Lakehouses, streaming, and ML platform design your team can own.
End-to-end ML — feature engineering, model development, MLOps pipelines, governance, evaluation, and LLM application development with guardrails.
Modern data platforms — reliable, observable, and built for AI consumption. Pipelines, lakehouses, and streaming architectures your models can trust.
We ship to production — fully, securely, with confidence. Security, compliance, and reliability integrated into every stage of the delivery pipeline.