Solutions
One goal: AI in production.
Several ways to get there.
Every engagement starts from the same model — senior, AI-native people embedded in your company, accountable for outcomes. What varies is where we deploy them and how the work is scoped.
Two kinds of deployment.
Some AI problems live in the codebase. Others live in how the work gets done. We deploy for both.
For problems that live in the codebase
Forward Deployed Engineers
Senior AI engineers in your repo within a week — building RAG systems, agent harnesses, and the production infrastructure around them. They own the outcome until it ships.
Learn more →For problems that live in the workflow
Forward Deployed Specialists
AI-native operators embedded with the teams that run the business — mapping how work really happens, redesigning it around AI, and staying until adoption sticks.
Learn more →Focused engagements,
scoped to the outcome.
Purpose-Built AI Products
We design and deploy AI products built specifically for your business — not generic tools adapted to fit. Custom agentic workflows, internal copilots, and AI-native systems engineered to your processes and data.
Rapid Deployment Sprints
A single use case, fully built and deployed in two weeks. Real users, real data, honest results. The fastest way to know if an AI investment is worth making.
AI Capability Building
We don't just build the thing — we make sure your team can own it. Hiring support, internal training, tooling setup, and the processes that keep AI systems healthy after we leave.
How it works
From kickoff to
production.
No months-long onboarding. No hand-off theater. This is a typical first engagement — working AI in front of your users within twelve weeks, on a schedule you can hold us to. Longer deployments repeat the cycle, use case by use case.
Embed & align
Our engineers join your Slack, get repo access, and run discovery sessions. By end of week two we have a shared definition of success and a technical roadmap.
Build & ship
We write code. Real code, in your codebase. Weekly demos with real users — not slides. We adapt fast based on what the data and users tell us.
Harden & hand off
We stress-test for production, document everything, and work alongside your engineers until ownership is fully transferred. You end up stronger than before we arrived.