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Forward deployed engineering

Engineers who deploy your AI platform at your customers

For AI product companies with signed customers waiting on deployment.

FDEScopeCustomer workflowsIntegrateData and systemsBuildAgents and interfacesDeployProduction handover

What our engineers do

1

Scope

Understand the customer

Workflows, data, systems and success criteria.

2

Integrate

Connect their systems

Data, identity and security requirements.

3

Build

Build on your platform

Agents, workflows and interfaces, tested.

4

Deploy

Go live and hand over

Production, documentation and ownership.

  • LLM applications
  • Agents
  • Data engineering
  • Cloud and integration
  • Solution architecture

Ways to engage

Embedded engineer

One engineer inside a customer deployment.

Deployment pod

A lead and engineers for one deployment, start to finish.

On-demand capacity

Add engineers as deals close, release them after.

NDA before you share details. IP terms set before work starts. Engineers in the US, India, the Middle East and Latin America.

Next step

Tell us where deployments are stuck

Share your platform and the skills you need. We reply with a staffing plan.

FAQ

Frequently asked questions

An engineer who works with a vendor's customer to integrate, build and deploy on the vendor's platform.

Yes. We onboard them to your platform and standards before they meet a customer.

It depends on the roles. Tell us your start date and we will reply with what is possible.