It starts as one sentence.
A hunch you can't shake. A market you can see but can't reach. Every system we've shipped in seventeen years started exactly here — one line, said out loud to the people who'd build it themselves.
A hunch you can't shake. A market you can see but can't reach. Every system we've shipped in seventeen years started exactly here — one line, said out loud to the people who'd build it themselves.
Senior engineers and our agents pull the brief apart until the real problem shows itself. It's rarely the one in the first email — and finding that out now is cheaper than finding it out after we build.
Architecture comes first, because the early calls — data model, boundaries, failure modes — are the ones you're stuck with at scale. We design for the day real load and real users arrive, not the demo that impresses a room.
People and agents as one crew: humans own the architecture and the judgment calls, agents accelerate the rest, every line reviewed by a senior before it lands. Production-grade code at a pace that still surprises us — and you watch it take shape in real time, no black box, no monthly status call.
Tested under load, scanned for known CVEs, observable in production, hardened against the failure modes we named when we architected it. We break it on our desk before the world gets the chance — because for the systems we take on, the first failure is the one that makes the news.
The line you started with is now live — instrumented, fast, and yours. We don't vanish at launch. The same hands that scoped it stay on to keep it standing.
Start with the problemWhen an outage makes the news and a bad architecture call costs you a year, you don't want a vendor — you want the senior crew who designs and builds it with you, and tells you the truth before you sign. Platforms that carry real load, and AI that holds up once real users arrive, behind seventeen years of production systems still running. If the cost of failure is low, you don't need us.
Fast where it's safe to be, uncompromising where it isn't — and senior hands on every one of them.
Custom platforms for companies where an outage makes the news. Heavy workflows, deep integrations, and the kind of reliability you stop noticing — owned end to end, from data model through deployment and the on-call that follows, by the people who designed it.
Most AI projects die as a demo that wowed a meeting and never met a user. Ours go to work: LLM orchestration with guardrails and fallbacks, predictive models you can retrain, and automation wired into the stack you already run — engineered so the token bill never eats the margin.
A dashboard nobody acts on is a screensaver. We build the pipelines, warehouses and analytics that put one defensible answer in front of the person who has to make the call — and stand behind the number when they ask where it came from.
We don't learn your industry on your budget. We arrive with production scars in the sectors we work in, and you'll hear it in the first questions we ask — the ones that catch the expensive assumptions early. The five directions below are where we go deepest.
Legacy isn't shameful — it's what survived long enough to matter, and it's running your business. We migrate in strangler-fig stages: no big-bang rewrite, nothing goes dark, every step reversible. You come out on a platform built for the next decade, not patched for the next quarter.
Buying or backing a software company? We read the actual code and tell you what it's worth: architecture risk, test coverage, key-person dependency, security posture, and what scaling will really cost in headcount and infra. Unsparing by design — you're paying us to be the one in the room who isn't selling you anything.
Client work stays confidential, so the names are off. The systems are in production, every number below is one we can defend and attribute — and you can go touch the last one yourself.
Most teams bolt a chatbot onto an old process and call it AI adoption. We rebuild the process itself — agent harnesses, orchestration layers, memory shared between people and models, pipelines where agents do the work and a senior signs off on it — with model routing and token-spend analytics tuned so the bill tracks the output instead of running away from it. We didn't read about this. We run our own delivery this way, and these numbers are ours.
Key skillsAgent orchestration & harness design · token-spend analytics & model routing · shared human–agent memory · multi-user agent surfaces · CI/CD for model-driven development
Enterprise real estate runs on data volume, and volume is where most platforms fall over. One platform we built for the sector doesn't: CRM workflows, intelligent dialers, contact-intelligence scoring and predictive analytics, sitting on data pipelines, third-party integrations and LLM orchestration tuned to keep a mission-critical system standing through peak load. The scale numbers below belong to that platform.
Key skillsEnterprise CRM modernization · AI-assisted dialing at scale · real-time multi-source sync · intelligent contact scoring · high-availability infrastructure
AI that reads a medical history the way a careful clinician would. Our pipelines pull years of scattered records — lab panels, imaging, prescriptions, discharge notes, across more than one language — and normalize them into one timeline of a person's health. AI companions track the trends, flag what crosses a reference range, and help families and physicians walk into the appointment already prepared. GDPR-aligned and private by default, because health data is the one you don't get to leak twice.
Key skillsLongitudinal record normalization · multilingual medical extraction · lab reference-range analytics · risk flagging · conversational health companions · privacy-first, GDPR-aligned deployments
A research desk that never sleeps. It watches futures, FX and equities around the clock and turns price action, positioning and macro flow into a morning brief a portfolio manager would actually read — then powers advisory copilots that report on portfolios with private-bank discipline. Every signal carries an auditable trail back to the data that produced it, because in this seat a number you can't defend is worse than no number.
Key skillsMulti-source market synthesis · AI-graded signal extraction · automated desk briefs · portfolio & performance reporting · auditable, explainable signal trails
Our own product, and public proof the playbook works — you don't have to take our word, you can open it. A live index of every Cirrus SR aircraft for sale in Europe: twelve scattered dealer and broker sources, crawled, deduplicated and entity-resolved into one record per airframe, then enriched with market analytics and per-tail ADS-B flight history. The same method works in any high-value market where the inventory is scattered and the pricing is opaque.
Key skillsSource crawling & entity resolution · spec normalization · price & days-on-market analytics · live aircraft tracking · public-grade product polish
Spain, Andorra, Czech Republic, Poland, Ukraine. Different time zones, different engineering traditions, one standard for what goes out the door.
No juniors staffed behind the pitch, learning on your budget and billed at senior rates. Every engineer on your project has ten-plus years in production, and stays on it from first call to launch and after. You never pay us to learn.
You work directly with the people who design and build your system — start to finish. No account managers in the middle, no handoff to a delivery team you never met, no game of telephone. What's promised is what ships, by the same hands.
We turn down more work than we take. It's the only way each project gets the whole crew instead of a slice of one — and the only honest way to keep the senior-only promise. Saying no to most of it is how we say yes to yours properly.
Before a contract exists, you'll know the real timeline, the real complexity, and the risks we can already see. And if we're not the right team for it, you'll hear that too — it's cheaper for both of us to find out now.
One message starts it — no sales theatre, no qualification maze, no "quick call to learn about your needs." Tell us the problem in plain words, and a principal will tell you how we'd actually approach it, where the risk is, and whether we're even the right team for it.