Embedded, not outsourced
Works in your meetings, your data and your constraints — integration happens where the work is.

The rollout role AI-native companies swear by: an engineer embedded in your business who turns AI capability into deployed workflow.
Models are ready; organizations aren't. A forward deployed engineer closes that gap from inside your team, where the real constraints live.
Works in your meetings, your data and your constraints — integration happens where the work is.
Prototype to production in one person: interface, APIs and the deployment path underneath.
The exit criterion of an FDE engagement is your team operating the system without them.
No self-serve marketplace, no CV roulette: a CTO scopes the role with you and matches from a bench that already passed the hard filter.
Thirty minutes on your stack, constraints and definition of done — with an engineer, not a salesperson.
We match against vetted seniors only. If the fit is not there, we say so instead of stretching a profile.
The person for your context, with real code and architecture assessments attached — interviews optional, not mandatory.
Judge working output on your repo before any long-term commitment. Zero-risk by design.
Marketplaces optimize the moment you accept a profile; everything after is yours to run. Every Conectia engineer ships with the full arc around them — not as a premium tier, but as the only way we place anyone.
CTO-designed vetting passes 3% of candidates — and we present the person for your context, not a stack of CVs to interview through.
72h matchOnboarding prepared before day one: access, context, the first week planned. A delivery manager runs the engagement end to end when the project calls for it.
Day-one planCheck-ins every week — daily when the phase demands it — with you and with the engineer. Wrong fit? A substitute within 7 days, inside the 30-day guarantee, at no added cost.
7-day replacementThe ending is a deliverable: full documentation, working accounts handed over, and a safe delete of corporate content — every credential accounted for.
Safe deleteLocation-based rates with everything included — you compare a single number against your local cost, not a fee maze.
A senior engineer who embeds with a customer team to adapt and deploy technology inside real workflows — a model proven by Palantir and now standard at AI-native companies.
Consultants recommend; FDEs commit code. The deliverable is a working system in production, plus a team trained to run it.
Weeks to a few months per workflow: from a 14-day Pilot Sprint to rollout, with knowledge transfer as the closing phase.
Yes — engagements run under your access controls, with EU-grade DPAs, on-VPC deployment options and audit trails.
A deployed AI workflow with measured adoption and cost, documentation, and an internal owner trained to operate it.
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