FDE+ completes forward-deployed engineering: cross-functional engineering to build, embedded leadership to shape the work, and the Zunō platform that starts every engagement months ahead. One team, accountable from strategy through production, at the cadence of a frontier lab and the audit standard of a Global 2000.
In partnership with Global 2000 leaders — across the industries where the cost of getting AI wrong is highest.
Forward-deployed engineering won the argument. Enterprises now expect their AI partners to build inside the business rather than present to it, and every serious provider, from the frontier labs down, fields embedded engineers. We were early to that conviction, and the industry’s arrival confirms it.
Standard FDE puts excellent engineers at the center of the problem, and that is where they belong. But an enterprise deployment is won before the build and after it. Someone has to turn a board’s intent into a strategy, design a solution the organization can actually run, and convince a thousand people to change how they work. The build should not start from zero. Evals, governance, and deployment have been built a hundred times before; they should arrive ready on day one. And when the model drifts in month nine, the team that made the promises should still be in the room.
The plus in FDE+ is not branding. It is the part of the model that was missing.
FDE+ meets that standard. Embedded leadership owns the strategy, the design, and the adoption. Cross-functional engineering covers every layer of the build. The Zunō platform starts the engagement months ahead. And the team stays through operations, accountable to your leadership, finished only at handoff.
Two weeks of groundwork end with your strategy written as evals: what the system must do in your business, and the bar it must clear to ship. Every cycle after that exists to move the scores.
We move in. Strategists and architects map where AI pays off, set the architecture and the governance posture, and write the strategy as evals: the tests the system must pass before it touches production. The eval set is the PRD. Zunō stands up inside your perimeter.
Cycles take the most expensive question first. Frame the slice, design it, build it, run it. A release ships when it clears the evals, not when the demo looks good.
Go-live is where the learning accelerates: the evals keep scoring drift, cost, and adoption, and what users actually do comes back as new evals and next-cycle scope. Production teaches. The next cycle applies it.
Standard FDE fields engineers. FDE+ adds what a deployment is actually won with: embedded leadership that owns strategy and adoption, and the Zunō platform that starts the work months ahead.
No slide is the deliverable. The people who frame the work design it, build it and run it one pod, one backlog, accountable to your leadership rather than to a change-order process.
Groundwork. Strategists and architects map where AI pays off and write the strategy as evals: what the system must do in your business, and the bar it must clear to ship. Every cycle after that exists to move the scores.
Senior strategists fluent in the boardroom and the build, principal architects, and ML, data, application and platform engineers one team, on site or fully embedded, matched to your operating rhythm.
At handoff not before. The team stays through operations, keeping the work steady as models, data and the business change, and is finished only when your team runs it without us.
