Esya builds two things and leaves both with you: AI in one workflow that matters, and a team of your own. On the engineering side, the person you speak to first is the person who owns what ships.
AI put into production under controls. Engineering partner from seed to a US$35m valuation by 2022.
One agent, several jobs at once.
Forward deployed means our engineers work inside your company, not from an agency across town. The person on your first call owns what ships. We map how the work actually moves, then build AI into one workflow and take it to production: payments reconciliation, lease abstraction, patient scheduling, claims triage, matter intake, confidential intelligence kept on a family office’s own machines. Fixed engagement shape. Your repo, your IP, your evals and runbook at handover.
Model- and cloud-agnostic: we build on Anthropic, OpenAI, Google, Moonshot, Microsoft and Cloudflare, inside your existing agreements.
How engineering worksA controlled Xero submitter refused 1,740 duplicates before commit in year one and cut year-end duplicate clean-up from three weeks to under a day. The operation served 18,000 subscriptions. Applying the published sensitivity model’s per-refusal assumptions to those measured refusals yields $435,000 to $870,000 of annual debt, credit and resolution value at risk, not an audited client saving.
Read the caseWe built and employed 14 engineers in India, embedded them in one client team, then novated all 14 in-house; 12 of 14 were still in post a year later. Using an approximate direct-hiring baseline of 90 elapsed days and a 31-day median, the sensitivity model estimates roughly 590 working engineer-days brought forward and $885,000 to $1.48 million of accelerated capacity, not the client’s commercial results.
Read the caseAlso built for: a collaboration-services provider · a creator-economy platform · a mobile-app studio
When what you need is a team of your own: the build tells us what the role actually needs, then we help you shape it, find the people, employ them compliantly wherever they live, and train them for the role once it is defined. We build teams, not placements, so the shape is ten or more hires over six months, and they transfer in-house when you’re ready. Your IP, always.
How talent works“We’ve been the founders in the room. We know what it costs to get this wrong.”
Gopal Patel – Founder and engineer. Chief technology officer at Auriens, where he built its early-stage ventures arm. He has structured cross-border transactions, worked in commodity broking, and created the by-appointment technology concierge service at Selfridges.
Jon Percy – Co-founder and lawyer. Brings the legal view in early, while decisions are still open. Fourteen years as a consultant general counsel to scale-ups; he now leads the legal function at an energy software company and a credit platform. Founder of esya.law.
Or the team you can’t hire. We’ll come back with a build plan, not a proposal.