On-demand AI-native engineers

Plank embeds trained forward-deployed engineers into technical teams that need to build, deploy, and validate production AI faster than they can hire.

Book a call What we do

Powering AI engineering at

Proven across 50+ AI companies

Plank FDEs are shipping production AI across the sectors that matter.

Developer tools

Building agent infrastructure at Near AI, led by a co-author of “Attention Is All You Need,” and AI code review at Entelligence.

Construction

Shipping production AI at Procore (NYSE: PCOR), the platform behind 3M+ construction projects in over 150 countries.

Cybersecurity

Embedded with OpenVPN, the private-networking leader securing 20,000+ businesses and 4 million users.

Fintech

AI financial co-pilots and climate-credit diligence with Prosperity, PayJoy, and Ezra Climate.

Healthcare

Voice AI for Spanish-speaking patients at Rosette Health, and AI coaching trusted by Stanford and Duke Medicine at Fitmate.

Retail

Custom expansion models at RDP for brands like McDonald’s, Sweetgreen, and Chipotle.

Manufacturing

Industrial process AI at Procense, and equipment sourcing at Diagon, built by a team that has managed $5B+ in equipment.

Energy & hardware

Smart-panel energy software with Span.io, and IoT cold-chain logistics with Artyc.

One execution system

Build, deploy, and validate production AI

One embedded team that builds your AI products, deploys them into your customers’ systems, and validates every release, vendor-neutral across OpenAI, Anthropic, and open models.

Build

AI-native product engineering

Engineers fluent in the current AI stack ship your roadmap: agents, RAG, LLM workflows, integrations, and the internal tools your product needs.

Deploy

Forward-deployed AI engineering

FDEs embed between your product, your engineers, and your customers, scoping deployments, integrating systems of record, and taking pilots to production that sticks.

Validate

On-demand QA pods

Real QA engineers, augmented by AI, test every pull request and return bugs, repro steps, screen recordings, and a clear merge verdict in 24 hours.

The Plank AI Accelerator

How Plank develops AI-native engineers

Every Plank engineer is developed through the Plank AI Accelerator, hands-on training in the realities of production AI work: agents, RAG, customer deployment, modern AI tooling, and high-quality engineering habits, then embeds with pod-mates they have already shipped with.

Agentic dev workflow

Shipping with Claude Code + Codex

AI applications

LLM features and products, end to end

Agents & retrieval

Multi-agent systems and RAG

Voice & multimodal

Real-time voice and video AI

Production & deployment

Shipping, monitoring, and reliability

Forward deployment

Customer integration and rollout

Every cohort trained and every team embedded makes the next deployment faster.

Inside the Plank AI Accelerator

How we ship

Harness-driven SDLC

Plank engineers steer a pool of AI agents through a controlled harness, so a small pod ships like a much larger team, with review, QA, and safe deploys built into every pull request.

AI pair-coding

Engineers steer Claude Code and Codex on every feature while the agents do the typing.

Small, frequent PRs against main
The engineer reviews and merges every diff

Conductor + worker pool

A conductor drafts the spec and hands work to a pool of agents running in parallel.

Each agent works in its own clone
The conductor never edits code, git is the audit log

Quality, woven in

Nothing reaches production unreviewed or untested, quality is built in.

Cross-model review + manual QA on every PR
Per-feature blue/green deploys, with fast rollback

Built for production AI from day one

Plank engineers start the same day, stay vendor-neutral, and arrive as a pod that has already shipped together.

Start the same day

Plank engineers embed and start the same day, then ship to production in days, speed of engagement and speed of delivery from the first call, while hiring the same role typically takes two to four months.

Vendor-neutral

Plank engineers work across OpenAI, Anthropic, and open models, so your architecture stays yours.

Trained for production AI

Every engineer is developed in the Plank AI Accelerator, hands-on training in agents, deployment, and modern AI tooling, then embeds with pod-mates they have shipped with before.