Six core services, one team. From AI features to the full product behind them — frontend, backend, mobile, and the integrations that connect it all.
Startups come to us wanting "AI in the product" without a clear plan for what that means technically. We help figure that out, then build it — AI assistants, retrieval-augmented generation (RAG) over your own data, LLM API integration, AI agents that call your internal tools, and structured outputs your application can actually use.
Common client problems: support and onboarding that doesn't scale with headcount, manual document review, no way to search unstructured internal content, and AI features that were prototyped but never shipped to production.
Most SaaS products fail on the unglamorous parts: multi-tenancy, billing edge cases, and an admin portal nobody designed on purpose. We build the product around a foundation that can actually support paying customers.
Common client problems: an MVP that needs to become a real multi-tenant product, no clean way to manage subscriptions or plans, and admin/ops tooling that's still manual spreadsheets.
Customer portals, internal tools, and product frontends that need to be fast, responsive, and maintainable — not another jQuery page glued onto a legacy backend.
Common client problems: a frontend that's slow or breaks on mobile, a legacy app that needs a modern rebuild without losing functionality, and no clear component structure as the app grows.
The backend is where most product reliability problems actually live. We build APIs, data models, and background systems that hold up under real usage instead of breaking the first time traffic spikes.
Common client problems: an API that wasn't designed for the scale it's now handling, background jobs that fail silently, and a database schema that's outgrown its original design.
Cross-platform mobile apps that reuse your existing backend and API instead of building a separate mobile stack from zero.
Common client problems: a web product that needs a mobile companion app, no strategy for push notifications or offline behavior, and mobile development quoted as a full separate project instead of an extension of what already exists.
A lot of "we need AI" requests turn out to be integration and automation problems — connecting tools that don't talk to each other, and removing manual steps between them.
Common client problems: data re-entered by hand across a CRM, payment processor, and spreadsheet; billing and reconciliation done manually every month; and no reliable sync between the tools the business already runs on.
A US-based software development agency with a distributed engineering team, helping startups and growing companies build SaaS products, AI features, and the systems behind them.