Y
For SaaS implementation & delivery teams

Your post-sales delivery,turned into a product.

Lab0 is an AI forward-deployed engineer. It does discovery, configuration, integration, and testing. The result is that customer go-lives take weeks instead of months. That's the pitch.

6 months → 10 days·80% less repetitive delivery work·Backed by Y Combinator

Every enterprise deal comes with an implementation tax.

You sold a product. Then post-sales rebuilds it by hand for every customer, and the revenue you booked sits unrealized while they do. This is normal. It doesn't have to be.

3–12 mo
Time to go live
80%
Work repeated every deployment
Manual
Fragmented, scattered process
40–50%
Delay sits on the customer side
$70–80k
Services cost before value
4+
Teams in the handoff chain
01Vendors carry large, expensive service teams
02Customers wait months to realize value
03Revenue locked behind long onboarding cycles
04Slow rollouts, hidden costs, unpredictable outcomes

Built for the people who own delivery.

Every SaaS contract carries an implementation tax. Lab0 is the AI forward-deployed engineer that lifts it, wherever you sit in the post-sales motion.

CEO / Founder
Revenue stops waiting on delivery
Stop letting signed contracts sit unrealized for months. Compress time-to-value so renewals and expansion start the day the deal closes.
Chief Product Officer
Implementation becomes part of the product
Turn bespoke, services-heavy rollouts into a repeatable, self-serve motion that ships with your product instead of bolting on after the sale.
Head of Professional Services
Scale delivery without scaling headcount
Take the same 80% of repetitive configuration, mapping, and validation off your team's plate so margins improve as volume grows.
Head of Implementation / Delivery
One context, no rediscovery
Keep discovery, design, configuration, and test context alive across every handoff so nothing gets rebuilt from scratch per customer.
Forward-Deployed Engineers
Off the critical path, onto the hard problems
Let agents handle async context gathering and routine config while your FDEs focus on the genuinely novel parts of each deployment.
Customer Success
Go-live dates you can actually commit to
Surface customer-side blockers, access, ownership, data mismatches, before kickoff so timelines stop slipping after the deal is signed.

Drop Lab0 into your delivery motion.

A standardized agent workflow runs discovery, planning, build, and test, and encodes best practices with every rollout. The alternative is hiring more forward-deployed engineers.

01

Async Context Gathering

Agents pull context from Slack, email, and docs, no meetings, no blocking your team.

$lab0 gather --channels slack,email,confluence
02

Auto-Configure & Deploy

Plans, integrations, policies, and workflows configured automatically.

$lab0 configure --integrations sso,hris,ticketing
03

Learn & Improve

Every rollout sharpens the next, best practices compound automatically.

$lab0 optimize --from-history --encode-best-practices

Works inside the systems you implement, and everything around them.

Lab0 runs discovery, planning, build, and test against your customer's real environment, ServiceNow, SAP, identity, smaller B2B SaaS, and the custom integrations in between.

ITSM

ServiceNow

Browse approved records, inspect update-set context, and preview controlled changes before anything writes to a customer's instance.

ERP

SAP & data platforms

Map processes, design policies, and configure integrations across the systems of record your customers actually run on.

Integrations

Field & object mapping

Translate intake objects into the right downstream records, fields populated, routing resolved, fulfillment teams assigned automatically.

& 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 workflow configures and integrates it. The platforms above are where teams start, not the limit.

Controlled by design.Every record mutation is previewed as a dry-run development change before it's applied. Approval stays with your team, and each rollout encodes best practices for the next one.

Book a demo.

If implementation is eating your team's time, give us one of your hardest deployments and we'll run it end to end. If it doesn't help, that'll be obvious fast.