FRONTIER
Forward-deployed engineering for the frontier of AI.
Embedded engineers who identify the highest-value workflow, redesign the system around it, and leave a durable production capability behind.
THE GAP
$40 billion spent. 5% return.
Two years into the generative-AI cycle, MIT puts the share of enterprises with real business returns at around five percent. The technology works. The deployment model hasn't.
Strategy decks don't ship systems. Pilots don't survive contact with production. The companies that pull ahead aren't the ones with the biggest models — they're the ones with the deployment engine that puts those models inside the work that matters.
WHAT WE DO
Three steps, one team, one accountability.
A forward-deployed engineer's job is not advice. It is the durable system at the end of the arc.
Identify the highest-leverage workflow
We embed with leadership, operators, and frontline teams to find where AI can change the economics of work — not where it can demo well.
Redesign the infrastructure around it
Frontier models don't slot into yesterday's process. We rebuild the workflow, the data plumbing, and the controls around the capability, not the other way round.
Turn it into a durable system the team owns
We leave a production system, governed and instrumented, that your team operates with confidence — and that evolves as the frontier moves.
HOW WE EMBED
No junior-leverage delivery.
Forward-deployed engineers embed in your domain. Faster decisions, higher quality, fewer rounds of rework. The same team that finds the opportunity builds the system and stays accountable for the outcome.
That collapses the gap traditional consulting leaves between strategy and shipped software — and the gap SaaS leaves between a product and the work it is supposed to change.
Ready to put a forward-deployed engineer on your hardest workflow?
Talk to Our Team