Backed by Y Combinator

Enterprise software,made self-serve.

“Lab0 is an AI forward-deployed engineer to make enterprise software self-serve.” That's how YC describes us, and it's the whole thesis. Lab0 runs discovery, configuration, integration, and testing as a product. The software you bought goes live in weeks, without a consulting army. That's the pitch in one paragraph.

3–12 months → weeks·ServiceNow · SAP · Salesforce · Workday·Backed by Y Combinator

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Enterprise software isn't self-serve, it's consulting-gated.

You buy the license in a day. Then value waits months on a partner-led rollout: discovery, configuration, integration, and testing, all rebuilt by hand for every customer. That gap between purchase and production is the implementation tax.

3–12 mo

Sale to go-live

A typical enterprise implementation runs three months to a year, discovery, configuration, integrations, and testing all completed before anyone gets value.

$$$

Services on top of license

Implementation and integration are a separate spend from the software itself, often several times the license, scaling with every customization.

Per-customer

Rebuilt every time

The same workflow, map the process, configure the platform, wire the integrations, gets redone from scratch for each new account instead of running like a product.

Many

Handoffs lose context

Architects, integration engineers, QA, and admins each hold partial context. Knowledge from the last rollout rarely makes the next one faster.

Risky

Changes hit live instances

Configuration changes are applied directly to customer environments, so teams move slowly to avoid breaking production.

Stalled

Revenue sits unrealized

Booked deals don't count until the customer is live. Every month of implementation is a month of value, and expansion, left on the table.

01Self-serve to buy, consulting-heavy to deploy

02Every rollout rebuilt by hand

03Context lost across handoffs

04Value blocked behind months of services

The AI FDE that makes implementation self-serve.

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, not a project.

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.

$lab0 discover --scope process,integrations

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.

$lab0 build --configure --integrate

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.

$lab0 validate --dry-run --promote-on-approval

One AI FDE, every platform, from enterprise suites to B2B SaaS.

Unlike platform-locked FDEs, Lab0 is open and multi-platform. It 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.

ITSM / ITOM

ServiceNow

Dedicated console for ServiceNow configuration and integration, including procurement-intake-to-ITSM flows like Zip → ServiceNow.

ERP

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.

CRM & HCM

Salesforce & Workday

Configuration, field mapping, and integration across the platforms where enterprise rollouts stall, handled by the same agent workflow.

& everything else

Any B2B SaaS & custom APIs

Smaller B2B SaaS, internal tools, and bespoke APIs too, if it has a console or an API, the same agent workflow configures and integrates it.

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 and we'll run it end to end. Self-serve enterprise software, or proof that it isn't there yet.