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Case Study

Pitcrew AI

Industry
$93,294 USD
Team NPS
10
Location
100%

The challenge: building a high-accuracy QA team from the ground up

Pitcrew AI is an innovative technology company based in Australia. As their product advanced, they needed a new QA team that could support continuous training and improving AI algorithms.

Their AI generated more high-quality scans than their team could keep up with. The AI flagged possible issues, but someone still had to review each scan, confirm if the alert was real, and spot tiny anomalies that the system might miss. They needed a QA team dedicated to improving accuracy and preventing false positives before anything reached their clients.

However, they faced some challenges:

  • They needed a full team quickly.
  • The work required extreme attention to detail.
  • Local hiring would be slow and expensive.
  • The team needed to adapt smoothly to Pitcrew’s training program and schedules.

Pitcrew AI wasn’t looking for a general team. They needed people who could learn fast, work with precision by training their AI systems, and keep operations running around the clock. Check how Athyna supported them in this key moment.

The solution: a global QA team ready in days with Athyna

Finding talent with the right skills

Athyna partnered with Pitcrew AI to understand the skill set required. Using our global talent platform, we sourced and endorsed eight qualified QA specialists. Each candidate was screened for accuracy, consistency, and the ability to make judgment calls on highly technical imaging data.

The partnership delivered strong results from day one. Five talents were hired out of the eight we endorsed, showing a clear match between Pitcrew’s needs and the talent we sourced. Even better, the very first hire they made was with the first candidate we presented.

To support Pitcrew’s continuous workflow, we assembled a blended global QA team:

  • 3 QA Analysts in the Philippines.
  • 2 QA Analysts in LATAM.

This group reviews truck scans, flags irregularities, verifies system alerts, and provides high-quality data that trains Pitcrew’s AI to become more accurate. Their work supports Pitcrew’s shift toward quality-first review and creates a reliable foundation for scale.

Fast integration and smooth onboarding

Pitcrew AI had a strong training structure, and we helped match them with talent who could adopt it quickly. Once hired, the team ramped up fast and began contributing to real QA cycles within weeks. And here are the outcomes:

  • Continuous coverage supported by professionals in the Philippines and LATAM.
  • A team aligned with Pitcrew’s commitment to quality and thorough review.

Savings that enable long-term growth

By building this team through Athyna, Pitcrew AI saves over 93,000 USD each year, creating room to reinvest in product development, training, and operational efficiency. The result is a cost-effective QA function that improves both day-to-day performance and long-term AI accuracy.

Performance metrics that tell the story

Here are some other performance wins:

  • Retention: 100%
  • Team NPS: 10.
  • Annual Savings: $93,294 USD, a 43% reduction compared to Australian hiring costs. See details below.

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Role
Typical US Salary
Full Stack Developer
$128K
QA Analyst
$86K
Paython Developer
$124K
With Athyna
$45K
Saved 65%
$34K
Saved 65%
$42K
Saved 65%
TIME WITH ATHYNA
240
days
AMOUNT SAVED
240.000
USD

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