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.
No. You pay one flat monthly rate per engineer that already covers salary, Conectia's management, compliance, payroll and EOR — zero recruiting fees and no separate management-fee line. In practice it lands 26–71% below an equivalent local hire in the US or EU.
A marketplace rents you a profile and leaves the vetting and the delivery risk with you. Conectia directly employs its engineers across 14 countries, screens them with active CTOs (3% acceptance), embeds them in under 72 hours, and backs every placement with a 30-day replacement guarantee.
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