A senior team of AI engineers and product managers from Microsoft, Amazon, Google, and IBM, partnering with enterprises to turn AI into real, compounding efficiency.
Our team has worked at some of the world's top companies
AssemblyAI
AssemblyAIA short look at how we turn AI strategy into systems that run in production.
Two pillars
Nearly every company is experimenting with AI. Almost none have made it the way work actually gets done. We close that gap on two pillars: we raise your people's AI baseline, and we engineer the systems that run in production.
Set the baseline. Then raise it.
We measure where your teams actually are with AI, then run hands-on workshops that lift that baseline team by team, until AI is simply how your people work.
Assess. Pilot. Scale. Embed.
We find where AI pays off, pilot it in a real workflow against hard baselines, scale what proves out, and embed it so your team owns it without us.
Capabilities
Where AI creates real advantage, and the systems that deliver it. One team, owned end to end.
Explore capabilitiesAI transformations that moved real numbers, measured in production.
Distributed team, single standard
A diverse team of 30+ professionals across 4 countries, working together to deliver exceptional digital experiences around the clock.
Learn more about us
Advisor
Seattle, USA · PST (UTC-8)
Seattle · local time
“The winners of the next decade won't have the most AI pilots. They'll be the ones who made AI how the work actually gets done.”
What we're learning shipping AI into the core of real businesses, the playbooks, the pitfalls, and the patterns that separate scaled AI from stalled pilots.
View all insightsThe pilot-to-production gap gets all the attention. The one that quietly kills more systems comes after launch, when the assumptions expire and the person who understood the thing has moved on.
Most AI budgets get spread thin across pilots that never compound. A disciplined 90-day audit finds the two or three workflows where AI actually pays for itself, and gives you the ROI model to defend the spend.
A demo that wows in a sandbox is not a system that survives Monday morning. The gap between pilot and production is rarely the model, it's data, ownership, and the work around the work.
A distributed team of operators and engineers, from top-tier companies, who embed with yours to make AI real, not theoretical.
We work in small, accountable teams across every timezone. We bring the same standard to a first AI pilot as to an org-wide rollout, and we optimize for one thing: efficiency that compounds long after we leave. Outcome-based, AI-native by default.
Tell us where you're trying to get more efficient. We'll come back within a day with where AI moves the needle, and where it doesn't.
