Event-driven systems · US-contracted
Payments. Banking.Real-time scale.No handoffs.
We build and modernise the event-driven systems behind platforms that cannot drop a transaction - from national settlement infrastructure to real-time products serving millions.
~50%
lower AWS cost at 1M+ users
22
banks integrated, millions of transactions daily
450K+
bookings migrated, zero downtime
100+
enterprise clients on one platform
Industries we build in
- Banking & payments
- iGaming
- Travel & hospitality
- B2B commerce & distribution
- Fintech & trading
- Healthcare
What we build
Four ways in. One kind of system.
Whichever way an engagement starts, the work is the same: event-driven systems that carry money, settlement, or real-time state without losing any of it.
View all services →Payment & real-time systems
Payment, banking, and real-time systems built event-driven - from national settlement infrastructure to platforms serving a million users without dropping a transaction.
- Settlement & payment flows
- Bank & partner integration
- Real-time platforms
- Correctness under load
Legacy modernisation
Legacy .NET, monoliths, and end-of-life stacks re-architected into event-driven services - migrated incrementally, with the transaction flow running the whole time.
- Monolith to event-driven services
- Zero-downtime migration
- Runtime & framework upgrades
- One deployment, many tenants
AI & ML integrationFlagship
LLM features, agents, and ML pipelines wired into systems that carry money - governed, evaluated against a baseline, and proven before they reach production.
- AI inside production systems
- Governed retrieval (RAG)
- Evaluation & baselines
- ML pipelines & monitoring
Embedded senior engineers
Senior .NET, Kafka, and cloud engineers embedded in your team - people who have shipped payment and real-time systems, working in your repo and your process.
- Engineers who have shipped this
- Hands for the hard migration
- Flexible duration
- Knowledge transfer
Selected work
Shipped, measured, in production.
What we’ve built, and how it held up once real traffic hit it. Numbers, not screenshots.
Cut AWS spend roughly in half on a 1M-user platform
A legacy service estate re-architected into event-driven microservices, taking infrastructure cost down about 50% without losing a transaction.
~50%
lower AWS infrastructure cost
Moved a booking engine off Ruby without downtime
A legacy Ruby booking engine rebuilt on .NET and migrated with 450,000+ historical bookings intact and no service interruption.
0
hours of downtime in migration
An AI sales platform serving 100+ enterprise distributors
Order prediction, abandoned-cart recovery, and route optimization on a multi-tenant platform, with a real-time ERP sync that stops orders going missing.
100+
enterprise clients on one platform
AI Proving Ground
AI, proven in your environment.
We prove an AI system works in your environment - governed, evaluated, secured - before it ships.
Enter the AI Proving Ground→Field notes - DIY AI
- 60%of AI projects die on un-ready data.
- 52%of answers on ungoverned data are fabricated - same model, no governance.
- ~7%of enterprises get AI past the demo and into production.
The model is rarely the problem. The system around it is - and that is what we prove.
How we work
Four steps. One team.
No handoffs.
Discovery & scope
We map the problem, constraints, and the shape of a working system before anyone writes code. You leave knowing what we would build and why.
A written scope, risk list, and order-of-magnitude estimate.
Proposal & plan
We turn scope into a costed plan: milestones, deliverables, named engineers, and a commercial model. No work starts until the plan is agreed.
A fixed proposal, milestone schedule, and team assignment.
Build & ship
We build in reviewable increments against the plan, with code review and CI on every change. You see working software on a regular cadence, not a reveal at the end.
Shipped increments, demo access, and weekly progress.
Run & scale
We operate, harden, and extend what we shipped - or hand it to your team with documentation and a runbook. You decide whether we stay on or step back.
A runnable, documented system, handover, optional support.
Commercial models
Three ways to work together.
Fixed scope, time and materials, or a retainer - we recommend the one that fits the work, and tell you when a fixed price would cost you more than it saves.
Fixed scope
Well-defined work with a clear endpoint and a budget that needs certainty.
Builds typically start around $50k - the price is fixed once the scope is.
Time & materials
Evolving products where scope moves and you want to steer week to week.
Senior engineers from about $110 an hour - roughly $18k a month each.
Retainer
Ongoing build, maintenance, and a reserved team you can call on.
Reserved capacity from about $15k a month, sized to the team you hold.
What we commit to
The terms we hold ourselves to.
- 01An engineer reads your first message and answers it - usually within one business day.
- 02You own the IP - assigned to you in writing on payment.
- 03No lock-in - we hand over a documented, runnable system.
- 04Named engineers on your project, not a rotating bench.
- 05Every change is reviewed and CI-checked before it ships.
- 06If an incident affects your data, we tell you in writing - promptly, and on the timeline your contract sets.
Start a project
Tell us what
you’re building.
Send us the problem - we’ll reply with a real engineer, not a sales script.