Forward-deployed AI Studio
we don't sell AIfrom a distance.
We're a forward-deployed AI studio. Our engineers embed in your operation, find the 20+ hours a week your team is losing, and build the systems that take it back. On your real data, inside your real workflows, live in 30 days. We don't leave until your team runs it without us.
Trusted by ambitious teams worldwide
YC startups, growth-stage operators, multi-location SMBs, and enterprise ops teams.
Why 95% of AI pilots die
You bought the tools. Ran the pilot. Nothing scaled.
MIT found 95% of enterprise AI pilots produce zero measurable profit impact. The model was never the problem. The gap is between a demo that works in a sandbox and a system that works in your sandbox. Your legacy CRM, your half-documented process, your team that's been burned before.
Software vendors won't cross that gap; they ship licenses. Consultants won't cross it; they ship recommendations. The gap only closes when an engineer goes in.
That gap is our entire business. Palantir proved the model in the hardest rooms on earth; OpenAI and Anthropic now staff armies of forward-deployed engineers because nothing else makes AI stick. We bring the same model to companies that can't burn $500k finding that out.
The deployment
We go in. We stay.
The same three moves for an automation, an app, or a full AI rollout. Forward-deployed is a promise about accountability: the same engineers who scoped it, built it, answer for it.
We go in
Not a discovery call. An embed. Your tools, your data, your team's actual day. Week one ends with the leak costed in dollars and the build spec written from observed reality, not from what the org chart says happens.
We build inside
On your live systems, with your team in the loop, shipping working software every Friday. The integration wall: auth, legacy systems, the credentials your IT guards. That's where vendors quit and where we earn the fee.
We stay until it sticks
Deployment isn't done at handover; it's done at habit. We work beside your people until the system is how work happens, then hand over the keys, the docs, and the off-switch. Adoption is the deliverable.
What we deploy
Three deployments. One method.
The unfair advantage
AI that ships because we ship the rest.
Most AI agencies hand you a Loom video and a Stripe link. We hand you a working product, because the web and app teams that make it real sit in this studio, not in a subcontractor's inbox. Your automation gets a dashboard your team actually opens. Your agent gets an interface your customers actually use.
Deployments on record
Real names. Real numbers.
The difference, in their words
What changes when someone goes in.
Other studios pitched us a slide deck. Orelyn pitched us a working prototype on day three. That's the difference.
In just nine weeks, Orelyn uncovered critical inefficiencies and clear opportunities for AI automation. They delivered the clarity, direction, and practical roadmap we needed to drive real operational efficiency.
They quickly understood our complex construction workflows and identified where AI could improve efficiency. Their practical solutions addressed real bottlenecks, and we're already seeing measurable improvements.
Questions
You've got questions. We've got answers.
It's the model Palantir invented and every serious AI lab now copies: engineers embed inside the client's operation, build against reality instead of requirements documents, and own the outcome, not the handover. For you it means the people writing the code have watched your team work, and the project isn't done until your team runs the system daily.
Embedded, not necessarily in-building. Screen-shares of real work, live access to your systems, daily presence in your Slack, on-site where the engagement warrants it. The defining trait is building inside your reality, not in a sandbox.
Because embedding doesn't scale like software. Three deep deployments done properly beat thirty shallow ones, for you and for our case-study wall. The slot cap is the quality control, not scarcity theatre.
Recon from $1,499 (100% credited toward the build). Focused deployments from $2,500 to $12,000. Products from $18,000. Fixed-bid after scoping. Embedded doesn't mean open-ended, and the first call gives you a real number for your case.
First system live in 30 days. First measurable ROI in 60 to 90. We're cautious about claiming faster than that. Anything quicker is usually a demo, not a system.
Yes. That's most of our work. We build for the data and team you have today, not a hypothetical version of you. Cleanup happens as part of the build, not before it.
Because most AI projects fail at adoption, not technology, and adoption is the part arm's-length vendors skip. We treat it as the actual deliverable: the system isn't done until your people are using it without us.
One ask
One workflow. One engineer. One week.
Bring us the process that hurts most. On a 30-minute call we'll cost the leak live, in dollars, with your numbers. If it's worth fixing, we deploy into it within the month. You leave with the number whether or not you hire us.
3 active clients max · 2 slots open · first system live in 30 days