Nexus Eclipse
Engineering Confidence into Software and AI Products
Nexus Eclipse helps companies improve software and AI-powered products through manual testing, test automation, AI evaluation, and dedicated QA expertise.
Quality Engineering Product-Lab composition
Trusted by teams who value quality
From audio hardware startups to digital agencies, teams bring us in when reliable software is non-negotiable, including CUE Audio and Kafun Digital.
What we do
Core quality engineering services
AI testing, manual coverage, and automation lead our work. Supporting services extend that foundation when your product needs them.
AI Testing
AI Testing
Practical QA for conversational AI, LLM workflows, and AI agents - prompt quality, hallucination detection, tool-call validation, and regression testing after every model or prompt change.
Learn moreManual & Functional
Manual & Functional Testing
Structured, human-led testing that catches usability issues, broken flows, and edge cases automation alone will miss.
Learn moreTest Automation
Test Automation
Automated regression coverage that shortens release cycles without sacrificing confidence.
Learn moreWeb, Mobile, API & Database Testing
Functional and compatibility testing across browsers, devices, APIs, and database layers so your product works reliably everywhere it is used.
Performance & Reliability Testing
Load, stress, and reliability testing that measures how your system holds up under real-world traffic before your users find out the hard way.
Featured
Practical QA for AI-powered products
Chatbots, voice assistants, AI agents, and LLM workflows fail differently than traditional software. We test for hallucinations, tool-call accuracy, RAG grounding, and multi-turn regressions, with human review where judgment matters most.
Every response is checked across seven dimensions before a verdict is recorded:
- Instruction adherencePassed
- Context retentionValidated
- Hallucination detectionUnder Review
- Tool-call accuracyCoverage Active
- Data accuracyPassed
- Guardrail validationReady
- Regression comparisonRisk Detected
How we work
A connected engagement journey
Discover → Plan → Test → Report → Improve. Every engagement follows a clear path from first conversation to ongoing quality improvement.
- 01
Discover
We learn your product, priorities, and risk areas - through requirements, user stories, or a walkthrough of what you've built.
- 02
Plan
We design a test strategy and prioritized test cases mapped to what matters most, not a generic checklist.
- 03
Test
We execute manual, automated, performance, or AI testing as appropriate - combining structured coverage with exploratory testing.
- 04
Report
You get clear, actionable defect reports and summaries - severity, reproduction steps, and evidence, not just a raw list.
- 05
Improve
We re-test fixes, track regressions across releases, and refine the approach as your product and priorities evolve.
Industries
Industries We Serve
Quality Engineering support for teams shipping software and AI-powered products across regulated and fast-moving markets.
- Healthcare
- SaaS
- AI Platforms
- E-commerce
- Real Estate
- Business Management Platforms
Our products
Built by Nexus Eclipse
We test software, and we also build our own products using the same QA standards we apply for clients.
Conceptual product illustration
RecBeam
betaRecord. Share. Explain. Privately.
RecBeam is a cloud-first screen recorder for Chrome - record your screen, camera, and audio, upload to the cloud, and share with a private unlisted link. No account required to watch.
View ProductConceptual product illustration
AluRate Pro
betaAluminium business management, simplified
AluRate Pro is a complete aluminium business-management platform covering quotations, pricing, customers, orders, and day-to-day operations for aluminium shops and fabrication businesses.
View ProductConceptual product illustration
MarqueeFlow
coming soonBooking and operations for marquee businesses
MarqueeFlow is a booking and operations platform focused mainly on marquee businesses. It is being developed primarily as a mobile application.
View ProductDedicated QA teams
QA engineers embedded in your team
Embedded QA engineers and testing consultancy that plug directly into your team, tools, and sprint cadence.
- Integrates into your sprints, tools, and communication channels
- Flexible engagement - short-term, long-term, or project-based
- Coverage across manual, automation, performance, and AI testing
Complementary capability
Engineering Support
Complementary web, mobile, cloud, DevOps, and product-engineering capacity for clients who need delivery support alongside QA.
Why Nexus Eclipse
What sets our QA approach apart
Risk-first quality strategy
We prioritize the flows and failure modes that matter most to your business, not a generic checklist.
Experienced QA engineers
Hands-on manual and automation testing experience applied to real product delivery.
Transparent communication
Clear updates throughout the engagement, with defects you can actually act on.
Manual, automation, and AI testing coverage
One team covering traditional QA and AI evaluation so quality stays consistent across your stack.
Structured QA practices
Risk-based planning, repeatable process, and measurable regression habits.
Flexible delivery model
From a single test cycle to embedded QA capacity, scoped to what you need.
Client feedback
What clients say
“Ali and his team are structured professionals. The quality of work delivered was consistent and validated their experience. They were quick to communicate, and communicated well at that. We recommend this team to anyone looking for a reliable, capable, and coordinated QA solution.”
“The team at Nexus Eclipse are skilled professionals in both Manual and Automation Testing. They were responsive and communicated clearly throughout the process. We highly recommend this team for anyone seeking reliable and efficient QA solutions.”
Insights
Latest from the team
Testing AI Agents: Tool Calls, Actions, and Regressions
What to validate when an AI agent can take actions: tool selection, argument accuracy, failure recovery, and regression testing after model updates.
How to Test AI Chatbots and Conversational Flows
A practical checklist for testing chatbots and conversational AI: intents, context retention, fallbacks, edge cases, and regression after prompt changes.
Why AI Features Need Dedicated Testing
Traditional QA alone is not enough for chatbots, LLM workflows, and AI agents. Here is what breaks differently and what testing should cover.
Talk to our QA team
Ready to discuss your testing needs?
Tell us about your product and where quality matters most. We will help you decide the right testing approach.