Contact UsYou know your business better than any outsider could. We bring the AI engineering and build it alongside you — no report telling you what you are doing wrong, no system you did not ask for. Where an open-source model does the job we run it ourselves, so it stays a capability rather than a monthly bill. Where a paid model is genuinely better, we use it and show you the cost.
We start by sitting with you and learning how the work actually gets done. You already know where it hurts — most owners do. We are there to understand it properly, not to grade it.
Then we find the angle together. Sometimes a model writes what someone used to type. Sometimes vision does in a second what took ten minutes. Sometimes AI is the wrong tool, and we say so — we would rather keep the relationship than sell you a system.
Where an open-source model does the job, we run it ourselves, so it costs nothing per call instead of growing with every customer you serve. Where a paid model is genuinely better, we use it and show you the cost. Your budget is our constraint too.
We build our own apps the same way. That is how we know what works, on top of more than fifteen years as a software engineer and architect.
Four ways we work with a business. Most partnerships start at the first and stop wherever they should.
We spend time with how the work actually gets done — a few days, not a discovery phase. You get back the one or two places AI would genuinely help, what each would cost to run, and an honest note about anything that is not worth doing. If the answer is that AI is the wrong tool here, that is what we will say.
One narrow, useful thing shipped end to end, rather than a platform nobody asked for. Something your people can use in a few weeks, so you judge it on whether the work got easier instead of on a demo.
Software is not finished when it ships. We stay on for the monitoring, the model costs, the store submissions and the integrations that break when a platform changes its API without telling anyone. You are never left holding a system no one can maintain.
If the idea is a product rather than an internal fix, we build it the way we build ours — mobile app, edge backend, AI where it earns its place — and it ships under your name, not ours.
Our strength is AI, and it is backed by more than fifteen years of professional engineering. We do not let AI run wild — we tame it. Whether the model is Claude, GPT, Grok or one we host ourselves, precise requirements, architecture specifications and the right technology for the job set the guardrails it works within, and every line is reviewed before it ships. What you get is the tool you actually need, not whatever the model produced.
Built with AI, and built to use it. We develop AI-first in React Native, or native Kotlin and Swift where the platform demands it — then the models do real work inside the app: camera, vision and language, on-device where they can run.
LLMs, vision and image generation wired into real work — giving mobile, web and desktop applications capabilities they could not have had before. Open-source and self-hosted wherever the license and the quality allow, paid models where they genuinely win, with guardrails and a cost model behind every call.
Agents that do the work rather than answer questions about it — calling tools, handling retries, and handing back to a person where judgment is needed. Built on Claude, GPT or Grok, with a clear definition of what an agent may touch and what it must report, so the autonomy has edges.
Serverless APIs on Cloudflare Workers, AWS Lambda and Azure Functions — or EC2, Azure App Service, Container Apps and IIS on current Windows Server where a long-running server fits better. Small and cheap with nothing to maintain, or highly scalable when that is what you need: auto-scaling services and microservices that spin up on their own to absorb a spike in traffic.
SQL Server, Postgres, MongoDB, Supabase and Athena for querying data where it already sits, with R2 or S3 for files and media. Chosen for the shape of your data rather than out of habit, and distributed across regions when the traffic calls for it.
An app a busy tradesperson will actually open twice. Interfaces for mobile, web and desktop, designed for gloves, sunlight and thirty-second sessions between jobs — simple enough that nobody needs to be trained to use them.
Store submissions, release pipelines, crash triage and the unglamorous work of keeping a live app healthy after launch. We run what we build.
OAuth integrations, token handling and customer data treated properly. Built by an architect whose past systems answered to PCI DSS and HIPAA auditors.
Tell us how the work gets done today. We will figure out together whether AI belongs in it.