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Managed Services / QA Managed Services
Ongoing quality assurance so releases don't introduce new problems
QA performed once, at launch, doesn't protect a system indefinitely. Every release, integration change, or configuration update introduces the possibility of regression — and without ongoing QA, issues surface in production instead of before release.
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TECHNICAL CAPABILITIES
The testing disciplines that protect every deployment
Regression & release testing
Maintenance and expansion of automated regression test suites as systems evolve, with release testing for every deployment coordinated across application, integration, and data release schedules.
Performance & defect management
Performance and load testing ahead of releases with anticipated volume changes, with defect tracking, triage, and resolution coordination across development and support teams.
UAT & quality reporting
User acceptance testing support for business-facing releases, with ongoing test coverage reporting to track quality trends over time.
OUR Approach
How we test as the system keeps changing
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01
Maintain
Maintenance and expansion of automated regression test suites as systems evolve.
02
Test releases
Release testing for every deployment, coordinated with application, integration, and data release schedules.
03
Performance test
Performance and load testing ahead of releases with anticipated volume changes.
04
Support UAT
User acceptance testing (UAT) support for business-facing releases.
05
Track & report
Defect tracking, triage, and resolution coordination across development and support teams, with ongoing test coverage reporting to track quality trends over time.
Outcomes
Fewer defects, more visibility
Faster, lower-risk releases
Faster, lower-risk release cycles across applications, integrations, and data systems.
Coverage that keeps pace
Test coverage that expands alongside the systems it protects.
Visibility into quality trends
Clear visibility into quality trends over time, not just pass/fail at each release.
Fewer production defects
Fewer defects reaching production.
Tech stack
The technology behind the transformation
FAQ
Frequently asked questions
How fast can you start?
No. We build the substrate environments, reward models, eval harnesses, data pipelines, feedback loops and hand it to your training infrastructure. You run the GPUs. We run the engineering around them. That lane discipline is part of why we work as a partner, not a vendor.
Can the work be co-authored or made public?
No. We build the substrate environments, reward models, eval harnesses, data pipelines, feedback loops and hand it to your training infrastructure. You run the GPUs. We run the engineering around them. That lane discipline is part of why we work as a partner, not a vendor.
How do you handle confidentiality and data?
No. We build the substrate environments, reward models, eval harnesses, data pipelines, feedback loops and hand it to your training infrastructure. You run the GPUs. We run the engineering around them. That lane discipline is part of why we work as a partner, not a vendor.
Do you run the actual training?
No. We build the substrate environments, reward models, eval harnesses, data pipelines, feedback loops and hand it to your training infrastructure. You run the GPUs. We run the engineering around them. That lane discipline is part of why we work as a partner, not a vendor.
Ready to modernize your core tech without the risk?
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