80% coverage in 3 days: How Nuvo prevents regressions across critical onboarding flows with Momentic

Nuvo is building the first digital trade network for the physical economy by connecting the businesses that make, move, and supply the world. The platform helps businesses onboard customers and vendors, verify companies and principals, and manage risk at scale. Today, more than 120,000 businesses use Nuvo to streamline onboarding and make faster, more confident credit decisions across complex supply chains. Trusted by companies such as AutoZone, Coca-Cola, and Nestlé, Nuvo sits in the critical path for industries including food & beverage, chemicals, construction, and manufacturing.

Challenge

Flaky frontend tests put critical onboarding flows at risk

At Nuvo, frontend functionality is directly tied to how quickly buyers and suppliers can onboard and begin doing business. The company’s web application powers customer onboarding and trade workflows where any interruption, delay, or regression can slow approvals, block transactions, and defer revenue.

Unlike engineers at larger companies optimizing for UI polish or feature velocity alone, the Nuvo engineering team builds product flows end-to-end that are both highly interactive and risk-sensitive.

As Nuvo’s product matured, those workflows became increasingly complex. New onboarding paths, validations, and customization increased the number of possible states users could move through. Each release introduced more edge cases that needed to be verified before reaching production. While backend and unit tests covered isolated logic, they couldn’t reliably catch regressions in end-to-end user journeys where sequencing, state transitions, and asynchronous behavior determined whether onboarding succeeded or stalled.

To safeguard these flows, the team initially relied on Playwright-based browser automation to validate critical paths. In practice, this setup was difficult to maintain. Animations, asynchronous UI updates, and timing dependencies caused tests to fail unpredictably. Engineers were forced to add hard-coded waits, adjust selectors, and rerun jobs just to determine whether a failure was a real regression or just a flaky test.

That uncertainty carried a real cost. Each failed run forced the team to pause feature work, inspect logs, and manually debug. Over time, trust in the test suite eroded. Expanding coverage only made the problem worse. To reach true 100% frontend test coverage with Playwright, Nuvo’s team estimated it would require dedicating roughly 20–25% of engineering time to writing and maintaining tests.

It was at this point that they began looking for an alternative, one that could validate Nuvo’s most critical onboarding flows without introducing more maintenance overhead or slowing development velocity. That search ultimately led the team to Momentic.

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Solution

Reliable and scalable frontend testing with Momentic

With Momentic, Nuvo established a reliable and scalable testing layer for validating revenue-critical workflows. Instead of limiting coverage to avoid flakiness, Nuvo gained a testing foundation it could trust to surface real regressions early and keep onboarding flows stable through frequent releases.

Onboarding was hands-on and collaborative from the start. The Momentic team worked closely with Nuvo to set up tests, align them with existing development workflows, and integrate them cleanly into CI. That early support made it possible to adopt Momentic quickly without introducing friction or changing how the team shipped code.

Once live, Nuvo migrated its most critical Playwright tests to Momentic. Those tests ran successfully out of the box with minimal setup, immediately eliminating the timing-related flakes that had undermined trust in previous tests. Creating the same end-to-end tests took significantly less time, and the tests remained stable as the frontend continued to evolve.

Today, the Nuvo engineering team adds Momentic tests alongside every major code change, as part of the core development process. Tests run automatically in CI to validate that new features behave correctly before reaching production, while a broader suite runs nightly to cover additional edge cases and scenarios.

By handling test execution and infrastructure, Momentic removed another source of overhead. The team no longer manages browser environments or reruns flaky jobs to confirm failures. Instead, test results consistently reflect real regressions, enabling the team to react quickly and resolve issues before they impact customers. As reliability improved, trust in the test suite was restored, and end-to-end testing expanded beyond a small set of critical paths into a dependable, shared part of the team’s workflow.

Operating with a lean engineering team of 12, Nuvo now ships to production multiple times per day without dedicating a disproportionate share of engineering time to maintaining test infrastructure.

“Momentic changed how we approach frontend testing. Instead of treating it as a bottleneck, it’s now a core part of how we ship changes every day.”

Results

Expanded coverage, hours of engineering time saved, and a scalable testing foundation

Partnering with Momentic gave Nuvo a testing foundation the team could trust as the platform continued to evolve. With stable end-to-end tests running on every pull request, engineers no longer had to second-guess whether failures reflected real regressions or flaky execution. That reliability removed friction from the development process and made it easier to ship frontend changes without introducing risk into core onboarding workflows.

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Looking ahead, the Nuvo team is aggressively increasing Momentic test coverage, allowing them to accelerate development velocity without regressions.

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