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Plank: FDE as a service

Plank provides FDE as a service: AI-native forward-deployed engineers (FDEs), embedded AI engineer pods, and QA pods, all as a service. Engineers are trained through the Plank AI Accelerator, then embed with your team starting the same day, vendor-neutral across OpenAI, Anthropic, and open models, and ship to production in days. Trusted by 50+ AI companies.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-24T02:33:20.698Z. Cached copy · Source on joinplank.com

# Plank: FDE as a service

> Plank provides FDE as a service: AI-native forward-deployed engineers (FDEs), embedded AI engineer pods, and QA pods, all as a service. Engineers are trained through the Plank AI Accelerator, then embed with your team starting the same day, vendor-neutral across OpenAI, Anthropic, and open models, and ship to production in days. Trusted by 50+ AI companies.

## What is a forward-deployed engineer (FDE)?

A forward-deployed engineer is a software engineer who embeds directly with a customer's team to take AI from pilot to production: scoping architecture, integrating with real systems of record, and shipping alongside in-house engineers. Palantir popularized the role, and OpenAI and Anthropic now build their enterprise businesses around it.

## What Plank offers

- Forward-deployed engineers: embedded with your team and your enterprise customers, starting the same day.
- AI engineer pods: dedicated full-time teams shipping agents, RAG, evals, and voice.
- QA pods: real human QA engineers, augmented by AI, test every pull request and return a clear merge verdict in 24 hours.

## How Plank is different

- Trained, not sourced: every engineer is trained through the Plank AI Accelerator before embedding.
- Vendor-neutral: works across OpenAI, Anthropic, and open models; your architecture stays yours.
- In person: pods work together in person from Plank centres in San Francisco, Brazil, Spain, and Poland.
- Harness-driven SDLC: a persistent conductor dispatches work to a pool of autonomous agents; engineers steer, review, and merge, with evals on every pull request.

## Pages

- [FDE as a service (home)](https://joinplank.com): forward-deployed engineers, AI engineer pods, and QA as a service; the offerings, customer showcase, and how Plank ships.
- [Forward-deployed AI engineering (FDE as a service)](https://joinplank.com/fde): forward-deployed AI engineers (FDEs) who embed with your team and your customers to take AI from pilot to production, vendor-neutral.
- [What is a forward-deployed engineer (FDE)?](https://joinplank.com/forward-deployed-engineer): the definition of the forward-deployed engineer role, where it came from at Palantir, how it differs from a solutions engineer, and why it became a category in 2026.
- [Forward-deployed engineer, compared](https://joinplank.com/forward-deployed-engineer/vs): how the forward-deployed engineer differs from every role it gets confused with, one page per pair, each with a side-by-side table, an honest account of where the two overlap, and first-party hiring data. The line that holds across all of them: an FDE builds, embeds, and owns the outcome in production, and each adjacent role has one or two of those three, never all.
- [FDE vs solutions engineer](https://joinplank.com/forward-deployed-engineer/vs/solutions-engineer): a solutions engineer is accountable for the technical win before signature; an FDE is accountable for the system working in production after it. 35% of FDE
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