Bring the business problem, the half-built system, or the scaling bottleneck. The same senior team scopes it, builds it, and stays responsible after launch.
Pick the work that matches what is broken today. Each page shows what you get, then the technical decisions behind it.
You know what the product should do. We turn that into a frontend, a backend, a data model and a way to ship updates, then keep it healthy after launch with maintenance, SLAs and code ownership.
The work is running on spreadsheets and three subscriptions. We replace that with one SaaS product: tenants, billing, roles and the workflow your team already knows.
If a person is copying invoices, hunting SOPs or answering the same ticket, we put AI on that job. Structured output, a human check when confidence is low, and privacy defaults that keep your data out of shared models.
We run infrastructure like an engineering product: infrastructure as code, GitOps delivery on Kubernetes, automated CI/CD and SRE practice. When the product is already slow or old, we find the bottleneck and migrate without downtime.
B2B software is not a landing page. We design the screens operators use for eight hours: dense tables, keyboard paths, and a Figma system that matches the code.
We design, build and rescue distributed systems: microservices and event-driven architectures that process orders, payments and telemetry without losing an event. You get systems that degrade predictably under load and partial failure, with tracing, replay and recovery tooling so nothing is silently lost.
The model is good, but the GPU bill is climbing and responses feel slow. We build the production serving layer: engine benchmarks on your traffic, GPUs sized to real demand, and latency and cost tracked per request.
A generic model will not know your contracts or your output format until it is trained on real examples of both. We run post-training as disciplined engineering, on data you approve, with evals agreed before training and everything inside your boundary when you need that.
Most teams already know the outcome they want. The hard part is requirements, architecture, and something people can use every day.
The work is real. The system around it is a workaround. Changing one step means another export, another login, or another person who remembers how it fits together.
You work with the people making the technical decisions. We write the scope, design the data model, build the product, and stay reachable after it ships. You own the code.
Got a complex product, platform, or system to untangle? Start with the messy version.
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