01 / Build
Production SaaS MVP
Your idea (or a stalled prototype) taken to a deployed, customer-ready product: frontend, API, data, auth, billing, and infrastructure. Fixed scope, fixed timeline, shipped in weeks, not quarters.
Anyone can stand up a demo. The value is the load-bearing 10%: the data pipeline, the failure paths, the thing still up under real traffic. That's where we work, backed by thirty years building the systems businesses bet on.
a production-software studio
Demos are easy. Production is the job.
The hard part was never the demo. It's the system around it: the unhappy path, authorization on every route that emits data, idempotency, observability, the pipeline that feeds it. That's ordinary production engineering discipline, three decades of it, so what you ship is something you can actually run, not a prototype that quietly breaks at 3 a.m.
Your idea (or a stalled prototype) taken to a deployed, customer-ready product: frontend, API, data, auth, billing, and infrastructure. Fixed scope, fixed timeline, shipped in weeks, not quarters.
The hard builds, where the data or the model is the product: ingestion and real-time pipelines, geospatial and search, RAG and agents, built to stay fast and accurate once real users arrive. (See ForeclosureBase.)
A demo that won't survive real users? We add the load-bearing 10%, authorization, idempotency, observability, CI, and a real deploy, so what you have becomes something you can actually run.
Streamwright is a production-software studio. Behind it is three decades of building the distributed and real-time systems businesses bet on, across healthcare, retail, finance, and high-throughput real-time data. Apache Kafka and Flink, big data, regulatory pipelines, the systems that can't quietly go down.
That foundation includes years as a published author and editorial-board member at Wrox in the early .NET era; we still treat clear explanation as part of the craft. Today that same rigor goes across the stack: AI and RAG systems, the real-time data infrastructure underneath them, and complete products shipped end to end.
If you have a system that needs to actually work, not just demo well, that's exactly the kind of problem we take on.
wright (n.): a maker; a skilled builder. As in shipwright, millwright, playwright. Streamwright is a maker of streaming systems: that same craft tradition, applied to real-time data and the AI built on top of it.
Tell us what you're building. You'll get a straight answer on whether and how AI fits, and what it would take to ship it for real.
mattbutlerdeveloper@gmail.com