Bugs reaching production
Issues that slip through incomplete testing reach real users, damaging trust and creating extra support work.
As a software QA company, we offer QA testing services for every stage of development. Our testers combine manual, automated, performance and security testing to catch bugs before your users do, and fit into your release process so testing doesn't hold up a launch.
Challenges
The path to successful AI adoption is shaped by the challenges you solve before you build.
Issues that slip through incomplete testing reach real users, damaging trust and creating extra support work.
Without automated coverage, teams re-test the same critical flows by hand before every release, slowing releases down.
A bug caught after development ships costs far more to fix than one caught during testing.
Applications that aren't tested under real-world traffic and usage spikes can buckle right when it matters most.

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Service
From first workshop to a funded roadmap, the groundwork every AI initiative needs before a line of code gets written.
We test real user flows by hand to catch issues automated tests miss.
Automated testing services that run your key test cases on every code change.
Testing on real iOS and Android devices, screen sizes and OS versions.
Load and stress tests that show how your app behaves under real traffic.
Testing for AI features and LLM apps, including accuracy, safety and edge cases.
As a QA outsourcing company, we provide a dedicated QA team that works inside your process.
Process
A three-phase engagement that moves from open-ended discovery to a roadmap leadership can act on.
Timeline: 1-2 weeks
We review your current testing practices and identify the highest-risk gaps in coverage.
Deliverables:
Timeline: 2–3
We build manual test cases and automated suites covering critical user flows and edge cases.
Deliverables:
Timeline: 3–4 and ongoing
We integrate testing into your CI/CD pipeline and maintain test coverage as the product evolves.
Deliverables:
Benefits
Catch bugs before they reach production and affect real users.
Release with confidence instead of manually re-checking everything each time.
Reduce the cost of fixing bugs found late in development.
Improve performance and stability under real-world load.
Free engineers to focus on building instead of manual regression testing.

Use Cases

Quality assurance and testing built for patient-facing platforms, care coordination, and compliance-aware clinical workflows.


Case Studies
Projects Of Novatore Solutions

A smart, GPS tracked locking device platform for luggage and valuables, built on React, Vue, and Node.js in Australia. The product depends on reliable, always on connectivity between the physical device and the cloud backend, since any dropped connection means a user temporarily loses the ability to locate their locked belongings.
Device Connectivity Uptime
99–99.5%
Challenge: AirBolt needed reliable, always-on cloud infrastructure to keep GPS-tracked devices connected and responsive around the clock, since any downtime means a customer can't locate their locked luggage.
Solution: Novatore architected the cloud backend with auto-scaling and monitoring built in, so device connectivity stayed reliable regardless of how many devices were active at once.
Result: The platform maintains reliable, real-time connectivity between devices and the cloud backend as the user base has grown.
Read Case Study
Tools & Technologies
We use proven, production-grade tools and choose the right ones for each project based on performance, cost and security.
FAQs
What clients typically ask before starting an AI strategy engagement.
Software quality assurance is the process of checking that software works as intended before and after it reaches users. It combines manual testing, automated tests, performance testing and security testing, built into the release process, so bugs are caught early and every release ships with confidence.
We provide QA for both, including auditing and testing products built by other teams.
Manual testing catches usability and edge-case issues through human judgment; automated testing catches regressions quickly and consistently on every release.
Yes, we build automated test suites to run directly within your existing deployment pipeline.
We prioritize coverage based on risk and usage, focusing first on the flows that matter most to your business rather than chasing 100% coverage for its own sake.
We cover functional, regression, API, performance, security, accessibility and usability testing for web, mobile and cloud applications, using both manual testing and automated test suites.
Yes. For HealthTech and FinTech products we add test cases for data privacy, access control and audit trails, and keep test evidence your compliance team can use for HIPAA, SOC 2 or PCI reviews.
QA services typically cost $25 to $49 per hour, depending on the mix of manual and automated testing and how many platforms we cover. We usually start with a short test audit and give you a clear estimate before any ongoing work.
Your Go To Business Partner
We combine strategy and delivery to build what actually ships, from roadmap to production.
Strategists, engineers, and QA specialists work as one team to turn plans into software fast.
React, Next.js, Node.js, Flutter, and Laravel expertise, paired with modern AI and cloud tooling, covers the full delivery lifecycle.
We work inside the timelines, communication norms, and compliance expectations our North American and UK clients require.
50+ products delivered from concept to production across HealthTech, FinTech, retail, and SaaS, with proven experience.

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Book a discovery call with Novatore Solutions and let's map the right approach for your business.
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Have a challenge worth solving or an idea worth building? Let's explore it, shape it, and turn it into a solution that creates real impact.