We are an independent software house that designs, builds and operates platforms for banks, telcos, automotive retailers - and our own ventures.
Wealthtech
Founded in 2014, before "digital transformation" was a slide. We stayed small on purpose: senior engineers and designers only, few projects at a time, every one taken from first sketch to production — and kept running long after launch.
Years in continuous practice — through every framework cycle since 2014.
Platforms and products shipped to production, most still in service.
Median engineering experience across the team. No juniors on your critical path.
Ventures of our own — because a software house should eat its own cooking.
Full-cycle product development: web, mobile and API platforms designed, built and shipped by one accountable team.
High-throughput distributed systems: the settlement engines, event pipelines and cloud platforms everything else stands on.
Banking-grade money movement: card programs, ledgers, clearing integrations and loyalty economics — built to pass audit.
Smart contracts and on-chain infrastructure where a chain genuinely earns its place — vesting, custody, token programs.
Identity, product design and interface systems with a drafting-table sensibility — every pixel placed for a reason.
Analytics foundations and AI systems that survive contact with production — see the Lab below for what we're testing next.
Two to three weeks inside your domain: users, constraints, economics. We leave with a map, you keep it either way.
Architecture, interface and delivery plan as one drawing — scoped, priced and sequenced before serious money moves.
Small senior team, weekly production releases from week one. You watch it grow in a live environment, not a slide deck.
We run what we ship — monitoring, on-call, iteration. Most clients stay for years; the system keeps compounding.
Much of our work runs inside institutions that don't put vendor names on press releases. The systems below are real, in production, and doing daily volume — full case studies are available in a conversation.
— Named case studies available under NDA.
Models are components, not products. The Lab exists to find out — with evidence — where they belong in real systems.
Every experiment runs against production-shaped data, ships behind an evaluation harness, and either graduates into client work or gets retired with a written post-mortem. No demos that die after the meeting. What survives the Lab becomes standard practice across every discipline upstairs.
Autonomous agents resolving support and operations tickets end-to-end, with human sign-off gates where money or trust is at stake.
● Live — in client productionRegression evals for LLM products: versioned test suites, gated deploys, drift alarms. Ship on evidence, not vibes.
● Live — standard on all AI workRetrieval and tool-use over private operational data — copilots that know your ledger, your fleet, your case history.
○ Graduating — two pilots runningReal-time voice agents on intake and dispatch lines, with structured handoff to humans and full transcript audit.
○ In trial — eval suite buildingWe take on a handful of new engagements a year — chosen for the problem, not the logo. If yours needs intuition and discipline in equal measure, write to us.