Build big.
Stay small.
Most AI projects fail before they ship. We build the ones that don't — document intelligence, knowledge graphs, entity resolution, and biomedical AI for teams who need systems that actually work in production.
What we build.
Document Intelligence Systems
We build systems that extract structured data from unstructured and semi-structured documents. Not one-off scripts — configurable platforms that adapt as document types and requirements evolve..
Knowledge Graphs & Query Systems
We design and implement knowledge graph systems that enable relationship-aware data exploration. The goal is not just storing data — but making it queryable in plain language..
Entity Resolution Systems
We build systems that identify and reconcile entities across fragmented and inconsistent data sources. Real-world names are messy — abbreviations, misspellings, alternate conventions, informal references.
AI Systems Architecture & Infrastructure
We design the underlying architecture that makes AI systems usable in production. Models are one piece — the system around them is what determines whether they work at scale..
Selected work.
Configurable Document Extraction Pipeline
Built a configurable AI extraction platform for an enterprise client — handling inconsistent formats, varying layouts, and unstable naming conventions across diverse document types.
Knowledge Graph & AI Quality Framework
Combined a unified knowledge graph with a production-grade AI quality framework — giving an enterprise client a scalable, trustworthy foundation for AI-driven decisions.
Dyuksa — AI-Native SaaS Platform
Designed and built Dyuksa, an AI-native multi-module SaaS platform for Indian MSMEs — a proof of our ability to architect production-scale AI systems.
Working on something hard?
We take on a small number of projects each year. If you're building an AI system that needs to actually work in production, we'd like to hear about it.