Crypto engineering.
For funded exchanges, trading platforms, protocols post-raise, and infrastructure teams running real volume.
Most crypto shops can write a smart contract. Few have built systems that hold when real money moves through them.
Not a fit for unfunded projects, equity-only arrangements, or work priced at the bottom of the market.
Three systems, all still running.
Client work is under NDA, so these are described by capability rather than by name. All three are ongoing engagements.
Years of trade history, returning in seconds.
The hard part is not the analysis. It is making years of data feel instant.
Historic trade data combined with live ingestion across multiple connected exchange accounts, with full analytics and AI-generated analysis on top.
Every calculation returns in one to two seconds, regardless of how much history sits behind it.
Mining operation with compute rental
A revenue-share mining business with a second product layer, where users rent rigs by the hour to run custom workloads in isolated containers.
Every component hand-built rather than assembled: orchestration, container isolation, time allocation, metered billing, payments, auth, database, front end.
High-frequency retail trading terminal
A platform in the same category as the major players, consuming real-time data across all Solana exchanges.
Architected so EVM support drops in without restructuring the front end.
Six years across the sector
Launchpads, staking protocols, bundlers, Telegram bots, and the wider dApp surface.
Four things, all of them the hard end.
Trading platforms and terminals
Real-time market data, order execution, and interfaces that stay responsive under load. .NET backends, ClickHouse for market data at scale, integrations across Bybit, Binance and HyperLiquid.
Real-time data and analytics
High-throughput pipelines, live alerting, analytics over large datasets. The parts that quietly fail at volume when built by people who have not done it before.
Node infrastructure
Custom node networks, including on-prem provisioning for AI workloads.
Protocol and dApp development
Staking, launchpads, bundlers, and the wider dApp surface. Six years of track record across most of what a crypto product needs.
Institutional systems experience, independently delivered.
Delivered across six years, profitable throughout.
Build size supported, on real timelines.
Large-scale real-time systems on Kubernetes at a global custodian bank, handling institutional data volumes under regulatory scrutiny.
Senior and principal engineers only. No junior leverage on client work.
We build in whatever the system requires, chosen to fit your environment rather than our preferences.
AI-assisted generalists have compressed the price of CRUD. They have not touched real-time, high-throughput, correctness-critical work.
Automated test coverage as standard, and written documentation at handover so you are never locked in, whether or not you have engineers of your own.
If you already run monitoring we work with it. Otherwise we hook external monitoring into the system and watch it ourselves, and alerts come to us by default rather than to you.
Free, about half an hour, and no specification required. We establish what you need, what it is worth to you, and whether we are the right fit.
Fixed scope and fixed price, agreed in writing. Staged payments. IP transfers to you on final payment. Most clients continue on a monthly retainer afterwards.