AI Software House
We build AI that works for real businesses
We write the code, wire the models, and make sure the whole thing doesn't fall over in production. Agents, pipelines, knowledge systems — built to run, not to demo.
What we build
White-Label AI Platforms
We build the engine; clients ship it as their own product. The model layer, integration surface, and infrastructure are ours to handle — what they get is a production-ready AI platform without two years of R&D.
Agentic Systems
Purpose-built AI agents that work through complex tasks end-to-end — pulling data, making decisions, taking action across tools and systems. Control points are designed in from the start, not retrofitted.
Workflow Integration
We wire AI into existing stacks and processes. No migration projects, no six-month runways — we find the leverage points in what you already have and ship from there.
Local AI Deployment
Private and on-premise model hosting for organizations that can't send data to a third-party API — whether that's compliance, data sovereignty, or latency. You keep full ownership of the data layer.
What we advise on
AI Visibility & GEO
How you appear in ChatGPT, Perplexity, and Google's AI Overviews is now a real business problem. We've built the methodology and tooling to measure it, optimize for it, and track it over time.
AI Strategy
Before any code gets written, we help organizations figure out where AI actually fits — what's worth building, what's not, and what the path to production looks like.
Tech stack we prefer