Web applications

Customer-facing products, dashboards, portals, and platforms. We handle the full stack: data model, API, frontend. Built to be maintainable after we're gone.

Internal tools

The tools your team uses every day to do their job. These are often the highest-leverage software investments a company can make and usually the most neglected.

MVPs

A first version that tests whether the idea works. Scoped honestly, built on solid foundations, and designed so the next phase doesn't require a rewrite.

APIs and integrations

Connecting systems that don't talk to each other. Pulling data from third-party APIs, building webhooks, syncing between platforms. The glue work that sounds simple and usually isn't.

Automation

Replacing repetitive manual processes with something that runs on its own. Document processing, report generation, scheduled jobs, workflow automation.

Technical audits

A second set of eyes on an existing codebase. We look at architecture, security posture, dependency health, and operational risk. You get an honest report, not a sales pitch for a rewrite.

AI/ML solutions

Practical AI built into your product or workflow , not a demo. LLM integrations, document intelligence, classification pipelines, recommendation systems, and custom models trained on your data.

Technology

We default to tools that have been around long enough to be trustworthy: PostgreSQL, Node.js, Python, React, and whatever infrastructure makes sense for the scale of the project. We're not framework agnostic , we have opinions. But we're also not attached to any one stack if the problem calls for something else.

We don't use the latest thing for its own sake. We use boring technology on purpose. It ships faster, it breaks in predictable ways, and the person who inherits the codebase can Google the errors.