Most AI companies are either pure services (no IP) or pure product (no revenue). We chose both deliberately. Our services generate cash and credibility. Our product generates compounding value.
We solve enterprise technology problems end-to-end — from data strategy through AI integration through production deployment. Our clients are organisations that need to move fast without cutting corners on engineering quality.
AI-powered lab report interpretation and personalised health protocols — built as a B2B2C platform for insurers, corporates, and health networks. Currently in production MVP.
Tailored AI-driven services built on production-grade architecture. Every engagement is owned end-to-end — not delegated to a sub-contractor or an offshore team.
We define your data architecture, identify AI use cases with real ROI, and build the organisational capability to execute. Not a framework — a working roadmap with implementation milestones.
Legacy modernisation, process automation, and digital product development. We map your current state, design the target state, and execute the migration without disrupting operations.
Production-grade microservices, event-driven architectures, and reactive systems. We build systems that scale under real load — using Spring Boot, Kafka, PostgreSQL, and Flutter.
Cloud migration, multi-cloud strategy, infrastructure-as-code, and managed DevOps. We handle the operational complexity so your team can focus on product.
Domain-specific AI solutions for clinical workflows, patient data analysis, lab report interpretation, and digital health product development. HIPAA and DPDP-compliant by design.
From user research through prototyping through production UI. We design for the Indian market — low-bandwidth-aware and accessible across device tiers.
Every engagement follows the same discipline: understand deeply, design correctly, build with tests, and own the outcome.
Business context, technical constraints, and success criteria defined before code is written.
System design, ADRs, API contracts, and test plans agreed before development begins.
Iterative delivery with end-to-end testing and weekly milestone reviews.
Production deployment, documentation, and ongoing managed support.
Our engineers built a production-grade microservices platform. Every client engagement is held to the same standard: correct, tested, and documented before it ships.
With 25+ years of combined healthcare experience including WHO, UNDP, and clinical AI — we understand health data, compliance, and patient trust requirements that generalist firms don't.
Fixed-scope or time-and-materials — we document what we commit to, report against milestones weekly, and flag blockers early. No surprises.
We are building an LLM-powered product ourselves. When we implement AI for clients, we bring the same engineering discipline we apply to our own platform.