The AI FDE that isn'tlocked to one platform.
An AI forward-deployed engineer (AI FDE) does the work an FDE does — turning bought software into a working deployment — but as a product, not a person. Lab0 runs discovery, configuration, integration, and testing across the systems your customers actually use. Rollouts go live in weeks instead of quarters. We're not claiming anything past that.
Open & multi-platform·3–12 months → weeks·Backed by Y Combinator
FDE is the fastest-growing role in tech — because enterprise software has a production problem.
The forward-deployed engineer exists to bridge the gap between software a company bought and software that actually runs. Demand is exploding, but humans don't scale, and most copycats end up as expensive services businesses wearing a software multiple. The bridge itself should be a product.
What an AI FDE actually does.
Lab0 runs a standardized agent workflow across discovery, planning, build, and test — encoding best practices with every rollout instead of restarting from zero. The forward-deployed engineering work becomes a product that gets faster the more it runs.
Discover the requirement
Agents gather context across Slack, email, docs, and existing systems, then run AI interviews and process mapping to turn tribal knowledge into a structured implementation plan.
Configure & integrate
Lab0 configures the platform and wires the integrations against your real environment — deterministic where it should be deterministic, AI where judgment is needed.
Preview, validate & go live
Every change runs as a controlled dry-run before it writes to a customer instance. Validate against test cases, then promote — with approval and rollback staying on your team.
Palantir's AI FDE runs Foundry. Lab0's runs your implementation.
Palantir launched an AI FDE that operates Foundry for you — an in-platform copilot. It's genuinely useful inside Foundry. But it can't touch ServiceNow, SAP, or the custom systems real rollouts live in. That's the line: Foundry-native belongs to Palantir; everything else is open.
| Palantir AI FDE | Lab0 AI FDE | |
|---|---|---|
| Operates in | Foundry only — requires AIP enabled. | ServiceNow, SAP, Salesforce, Workday, and custom APIs — the systems your customers actually run. |
| What it does | Runs Foundry operations for you through conversational commands. | Runs the full implementation: discovery → planning → build → test → go-live. |
| Lock-in | Locked to the Foundry platform. | Platform-agnostic — works inside the stack you already own. |
| Who it's for | Existing Foundry customers. | Any SaaS or enterprise team carrying implementation burden. |
| Safety model | In-platform agent actions inside Foundry. | Dry-run controlled change previews before anything writes — approval and rollback stay on your team. |
One AI FDE, every platform — from enterprise suites to B2B SaaS.
Open and multi-platform by design. Lab0 works against the same consoles your implementation team does — the big enterprise suites and the smaller B2B SaaS and custom APIs your customers actually run, not a single locked-in platform.
ServiceNow
Dedicated console for ServiceNow configuration and integration — including procurement-intake-to-ITSM flows like Zip → ServiceNow.
SAP & S/4HANA
Data conversion, custom-code testing, and GRC/security roles for SAP migrations — the work that makes most S/4HANA projects run late.
Salesforce & Workday
Configuration, field mapping, and integration across the platforms where enterprise rollouts stall — handled by the same agent workflow.
Any B2B SaaS & custom APIs
Smaller B2B SaaS, internal tools, and bespoke APIs too — if it has a console or an API, the AI FDE configures and integrates it. The platforms above are examples, not the boundary.
Controlled by design.Every change is previewed as a dry-run development change before it's applied to a live instance. Approval and rollback stay with your team, and each rollout encodes best practices for the next one.
Book a demo.
If implementation is the gap between your software and its value, give us one of your toughest deployments — across whatever platforms it touches — and we'll run it end to end. If it's not a fit, you'll know fast.