PROOF · CASE STUDIES

Selected proof. Real operating work.

Three engagements that show how Mantis improves release confidence, compresses regression cycles, and protects core flows for startup teams shipping in regulated or high-stakes industries.

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Embedded QALong-running engagementsConcrete numbers

NO.CASE STUDYCONTEXTHEADLINE OUTCOME

01REGULATED · 3+ YEARSRegression14h → 6h 02FINANCIAL · 4 YEARSRegression3–4d → 1d 03FINANCE · EMBEDDED~0 prodbugs ·95% coverage

3 CASE STUDIES · CURATEDReal operating work

ABOUT THESE

A curated set, not a portfolio wall.

We publish a small number of case studies on purpose. Each one represents a multi-year embedded engagement with verifiable outcomes — regression cycles, coverage levels, production-bug counts. The numbers below come from live engagements, not from a deck.

CONTEXT · 01 / 04

FEATURED

Featured case study.

FLAGSHIP · 02 / 04

FEATURED · CASE STUDY

Vertical SaaS · a Dama Financial product

FINANCIAL4 YEARS

CHALLENGE

A complex software platform was outgrowing its initial QA setup. During a rapid engineering ramp, coverage couldn't keep up and regression cycles were eating release time.

WHAT MANTIS DID

A senior QA engineer joined to learn the product, defined a tailored QA strategy, and wired exploratory plus regression discipline into the dev cycle. Three more engineers joined as the team scaled, and AI no-code automation compressed regression further.

OUTCOME

Four QA engineers embedded across ~4 years. 95% manual coverage, 65–70% automation. Near-zero P0/P1 bugs in production. Regression compressed 3–4d → 1d.

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ALSO SHIPPED

Two more embedded engagements.

CASES · 03 / 04

AI customer engagement platform

REGULATED · 3+ YEARS

CHALLENGE

No QA process for an AI customer-engagement platform in healthcare and insurance — and post-COVID scale tripled the number of AI assistants almost overnight.

WHAT MANTIS DID

Embedded one QA engineer on-site to build test plans and UAT suites for each AI assistant. Two more pre-trained engineers joined as the product scaled, and AI automation was introduced to compress regression.

OUTCOME

Regression compressed 14h → 6h. Test plans across 30+ projects. Three QA engineers embedded; 3+ years running.

Embedded QAAI

Strategic finance platform

FINANCE · EMBEDDED

CHALLENGE

A strategic finance platform shipping bi-weekly — where precision is non-negotiable — needed a disciplined QA process.

WHAT MANTIS DID

Dedicated QA engineers embedded to build manual coverage, validate every release, and protect the core flows finance teams rely on.

OUTCOME

Near-zero functional bugs in production. 95% manual coverage. Bi-weekly releases stayed smooth.

Embedded QARelease Confidence

COMMON OUTCOMES

What every engagement tends to move.

Different products, different stages. The dials below shift in the same direction across the cases above.

OUTCOMES · 04 / 04

Regression cycles compress

Across the engagements, regression time dropped from 14 hours to 6 at ebo and from 3–4 days to about 1 day at GrowFlow. Releases stop being the slow part.

Production bugs trend toward zero

Near-zero functional bugs leaking into production at Vareto. Near-zero P0/P1 bugs across rolling 4-week windows at GrowFlow. Mantis covers what users would have hit.

Manual coverage reaches 95%+

Both GrowFlow and Vareto sit at 95% manual test coverage on the core product. Coverage is built deliberately, not treated as a vanity metric.

Zero training overhead

Across all three engagements, Mantis owns hiring, training, and ramp. The client does not lose engineering time to building a QA function from scratch.

GET IN TOUCH

Want results like these for your product team?

Whether you need ongoing QA support or a faster way to identify product risks, Mantis helps startup teams find the right next step.

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