Product owners
Customers are finding bugs you thought were closed. You need a net before the next release.
Quality
A release is not done when it compiles. It is done when the job a customer pays for still works. We check the paths that make money, then keep checking them every time you ship.
Testing on live products including Worldsys and Array Corp.
We start with the work that cannot fail
Machines run the same steps every release
A human still walks the awkward cases
The offer
A planned way to prove the product still does the job after every change: automated checks for the obvious, people for the surprising, and a list you can actually fix.
If the issue is speed under load, see performance testing.
Who it is for
If you own the budget, the product, or the operation, this page should help you decide.
Customers are finding bugs you thought were closed. You need a net before the next release.
The team is scared to ship. Repeatable checks make the next release boring in a good way.
Support is the unofficial test team. That should not be the process.
What you get
The work buyers look for, described as outcomes.
Services
Pick a starting point. We will confirm it on a call.
A short working session so you know what to fund first.
Prevent critical production bugs and user drops
Ensure secure authorization rules and protect data
Challenges
If this sounds like your week, we should talk.
Time
We design quality assurance & testing so this shows up in the business, not only in a demo.
Risk
We design quality assurance & testing so this shows up in the business, not only in a demo.
Scale
We design quality assurance & testing so this shows up in the business, not only in a demo.
Trust
We design quality assurance & testing so this shows up in the business, not only in a demo.
Why Solvefy
Named products in production, a call that ends with a next step, and AI when it helps the live system.
Proof
Results from live products.
99.8% compliance accuracy across 20,000+ users, with breakage caught before release
Read full case study
Critical issues found on the workforce portal before customers hit them
Read full case studyHow we work
A sequence you can follow without a glossary.
Step 1
We confirm this step with you before we move on.
Step 2
We confirm this step with you before we move on.
Step 3
We confirm this step with you before we move on.
Step 4
We confirm this step with you before we move on.
Step 5
We confirm this step with you before we move on.
Guides
Useful if you are sharing this page with a colleague.
AI-native team
We use AI in how we plan, document, and build quality assurance & testing, so delivery moves faster and a person still reviews what matters. The same approach can live in your software: agents, copilots, and call handling inside the workflows your team already runs.
Faster delivery: specs, docs, and integration drafts sped up by AI, checked by people
AI in the build: tests, reviews, and handoff that are part of how we ship, not a later phase
AI in your product: copilots, agents, and call handling next to the records operators already use
Prove the product holds when everyone shows up at once.
Keep a live product healthy after launch.
A product built around how your business actually works.
Questions teams ask before they hire for Quality Assurance & Testing.
No. Machines repeat the known paths. People still walk the awkward ones: a new customer, a bad payment, a permission they should not have.
Yes. We start by mapping the jobs that cannot fail, then put checks on those first.
A clear list: what broke, how to see it again, and how serious it is for the business, not a screenshot dump.
Tell us what is stuck. We will map the next step on a call.