Queue raises $18M Series A

Queue raises $18M Series A

Queue raises $18M Series A

How Liva Unified Seven Engineering Teams With Queue

How Liva brought consistency and velocity across seven acquired codebases by deploying Queue agents portfolio-wide

The sprawl problem

Liva is a B2B software holding company that had grown through five acquisitions in three years. Each product brought its own codebase, its own conventions, its own test coverage gaps, and its own accumulated technical debt. By mid-2024, the central engineering team was managing seven separate products with no shared patterns, no unified tooling standards, no consistent documentation practices, and no realistic way to bring them all up to the same quality bar simultaneously. The debt compounded with every acquisition. Something had to change.

One agent system to standardize them all

Using Queue, the central engineering team deployed agents across all seven codebases simultaneously — running standardization passes for test coverage, documentation, linting configuration, and dependency hygiene. Shared Queue workflow templates meant that every codebase followed the same quality process, even when the underlying technology stacks differed. The transition from seven inconsistently maintained codebases to one coherent portfolio took twelve weeks, with no dedicated migration engineers and no external contractors.

Speed as a competitive advantage

Time to integrate acquired engineering teams dropped 58% in the first six months. Code review cycles shortened because agents enforced consistent patterns before PRs opened. New engineers joining any Liva product found documentation that was current and code that behaved predictably — regardless of which product they joined. For the first time, the central team had visibility across all seven codebases in one place, and could make informed decisions about where to direct engineering investment.

"Queue gave us something we'd never had before: a repeatable way to standardize engineering across acquired companies. Instead of spending months aligning codebases manually, agents applied the same standards everywhere. What used to be an integration project became a workflow."

Jonathan Hayes

VP of Engineering, Liva

A system that scales with acquisition

Since completing the initial standardization, Liva has made two additional acquisitions. Both codebases were brought up to portfolio standards within three weeks of closing — a process that previously would have taken six months and a dedicated team. Queue workflows now function as an onboarding tool as much as a quality tool, giving acquired engineering teams a clear, automated path to Liva’s standards from day one.

The strategic value of consistency

The deepest impact has been strategic rather than operational. When Liva’s portfolio of engineering teams works from the same standards — even across seven distinct products — it changes how engineers, customers, and investors perceive the business. Enterprise buyers feel more confident knowing every product is maintained to the same quality bar. The codebase became evidence of organizational maturity, not just a collection of inherited codebases from six different founding teams.

About

B2B software holding company that acquires, integrates, and scales enterprise products under one engineering standard.

Industry

Enterprise Software

Company size

500+

Founded

2016

Headquarter

New York, USA

Round

Series C+

man standing in front of window
Handwritten "Howard Elliott" logo with text: "The Howard Elliott Collection".

"Queue's AI agents refactored our entire legacy API layer in a single weekend. What would have taken our team weeks of tedious migration work was done autonomously — with tests, documentation, and zero regressions."

Carlos Reyes

CTO

man standing in front of window
Handwritten "Howard Elliott" logo with text: "The Howard Elliott Collection".

"Queue's AI agents refactored our entire legacy API layer in a single weekend. What would have taken our team weeks of tedious migration work was done autonomously — with tests, documentation, and zero regressions."

Carlos Reyes

CTO

man standing in front of window
Handwritten "Howard Elliott" logo with text: "The Howard Elliott Collection".

"Queue's AI agents refactored our entire legacy API layer in a single weekend. What would have taken our team weeks of tedious migration work was done autonomously — with tests, documentation, and zero regressions."

Carlos Reyes

CTO

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