Since 2010, Tridentsoft has cleared go-lives that could not fail — for enterprise and mid-size organisations across Canada, USA, and Asia. Now we do it faster, with AI.
Full-spectrum quality engineering across the entire delivery lifecycle — led by senior practitioners with 15+ years of enterprise experience, with AI woven throughout every discipline.
Scale QA capacity instantly based on your release cycle — no long-term commitments. Access senior QA engineers for a sprint, a go-live window, or an extended program. Onboarded within days.
End-to-end QA from requirements through production validation — functional, performance, security, integration, and UAT coordinated in a single program with consistent reporting throughout.
Shift-left QA embedded in your Agile squads — sprint planning, BDD with Gherkin, continuous automation, and AI quality gates that keep pace with your velocity without becoming a bottleneck.
Testing applications in AWS, Azure, and Oracle OCI environments — eliminating on-premise dependency while enabling scalable cross-browser, cross-platform, and cross-device execution in the cloud.
Specialised testing for Salesforce, Microsoft Dynamics CRM, and enterprise CRM platforms — customisations, integrations, data migration validation, and end-to-end business process verification.
Verifying individual microservices in distributed architectures — API testing, consumer-driven contract testing with Pact, and service integration validation both locally and in cloud environments.
AI-driven load scenario modelling, JMeter, Gatling, and k6 across web, API, and database layers. We surface bottlenecks before your users do — with clear go/no-go reporting for every run.
Functional, regression, and performance testing for legacy and modern PowerBuilder applications — keeping critical business systems stable through version upgrades and architectural modernisation.
Maturity assessments, tool selection, Testing Centre of Excellence (TCoE) setup, team structure, KPI definition, and AI adoption roadmaps — building quality practices that scale with your organisation.
We architect quality practices where Large Language Models, AI Agents, and Agentic QA frameworks are the primary instruments — integrated across every phase of your software delivery pipeline. Not AI as a feature. AI as the foundation.
Validating Large Language Models, RAG pipelines, and AI Agent systems for hallucination, prompt injection, model drift, non-determinism, and multi-agent coordination failures — quality frameworks for systems where conventional automation has no answer.
AI Agents autonomously generate test suites from requirements, execute runs, interpret results, and file defect reports — with self-healing scripts that adapt to UI and API changes without manual intervention. Continuous quality without continuous human effort.
Intelligent quality gates embedded directly in your pipeline — AI selects which tests to run per deployment, defect prediction flags high-risk changes before staging, and automated go/no-go signals replace manual sign-off bottlenecks across every release.
Intelligent vulnerability scanning, AI-driven penetration testing, automated threat modelling, and LLM-specific security validation including prompt injection, data exfiltration via AI outputs, and adversarial input testing.
AI-driven load scenario modelling generates realistic user journeys from production telemetry. Intelligent bottleneck detection and predictive performance analysis surface failure points before they manifest — accelerating diagnosis from days to hours.
AI-assisted defect triage, root cause analysis, and predictive quality dashboards provide real-time visibility into quality risk. Anomaly detection in production identifies degradation before users report it — shifting QA from reactive to predictive.
Specialised disciplines requiring domain-specific depth — for the standards, architectures, and compliance requirements that need more than general coverage.
Evaluating applications against the Web Content Accessibility Guidelines (WCAG) published by the Web Accessibility Initiative (WAI) of the W3C — at AA and AAA conformance levels. Covers screen reader compatibility (JAWS, NVDA, VoiceOver), keyboard-only navigation, colour contrast compliance, alternative text for images and media, ARIA roles and attributes, form labelling and error identification, and cross-browser/device accessibility validation. We deliver detailed WCAG audit reports with prioritised remediation guidance.
Ensuring consistent, high-quality experiences across every browser, operating system, and device your users rely on. Cloud-based device farm testing (BrowserStack, Sauce Labs) combined with real hardware validation — Chrome, Safari, Firefox, and Edge across Windows, macOS, iOS, and Android at every relevant resolution. Automated compatibility matrices track regressions across all supported configurations on each release.
Implementing and validating applications in cloud computing environments — eliminating on-premise infrastructure dependency while enabling scalable, parallel, cross-platform test execution. Full DevOps pipeline setup assistance included: CI/CD configuration, containerised test environments, infrastructure-as-code for test infrastructure, and automated quality gate integration from commit to production deployment.
Verifying individual microservices within distributed architectures — extensive API testing, service contract testing using consumer-driven contracts (Pact), and integration validation in local and cloud environments. Contract testing ensures compatibility between services and minimises the risk of breaking changes propagating across service boundaries. REST, GraphQL, and gRPC interfaces validated independently and with their downstream dependencies.
Since 2010, we have helped enterprises worldwide deliver top-rate software products and exceptional user experiences. Tridentsoft is a software testing company serving enterprise and mid-size organisations across Canada, the United States, Asia, and globally.
We combine 15+ years of proven QA delivery with next-generation AI-augmented quality engineering — integrating Large Language Models, AI Agents, and Agentic QA frameworks directly into your testing practice. Our consultants embed with your teams, learn your systems, and leave your organisation permanently more capable.
Headquartered in Ottawa, Canada — delivering on-site and remote-first across Canada, USA, Asia, and globally.
Help produce software of the future with high quality standards in a timely manner. Offer effective QA in a timebox environment — so your teams ship faster, more confidently, and without sacrificing reliability.
Our culture is not a wall poster — it is how we operate on every project, every day.
We understand your system, your deadlines, and the pressure you are under — before we propose a single solution.
Diverse teams find more bugs. We bring varied perspectives to every engagement — and it shows in the coverage.
We tell you what your system actually needs — even when that is uncomfortable. You will never get a proposal shaped to win rather than to help.
The QA landscape is changing fast. We invest continuously in AI testing methodology so our clients always get current thinking, not 2019 playbooks.
We do not stop at the obvious defect. We ask why the system behaved that way — and keep asking until the root cause is clear.
Every engagement produces written documentation of scope, exclusions, and risk ownership. What we test, what we do not, and who is accountable — always in writing.
We embed inside your team, attend your standups, and speak your language. Our best work happens when the boundary between client and consultant disappears.
Zero failed go-lives in 15+ years is not luck — it is the result of holding ourselves to a standard most QA firms do not attempt.
We build frameworks and transfer knowledge so your organisation gets stronger after every engagement — not more dependent on us.
Complex migrations. Impossible timelines. Constrained test environments. We have seen it all — and we deliver anyway.
Every Tridentsoft engagement follows the same disciplined process — regardless of size, technology, or geography. This consistency is how we maintain a zero failed go-live record over 15+ years.
We baseline your QA across 6 dimensions before any work begins.
We learn your system, risks, and constraints before writing a single line of scope.
A written strategy covering every dimension — functional, performance, security, and accessibility.
AI Agents generate and run tests. Senior engineers own the outcome. No shortcuts.
Two reports — technical for engineers, plain-language for executives. Always before your deadline.
Everything transferred to your team. We build capability, not dependency.
We reassess the same 6 dimensions from Step 00 every quarter — so you see measurable improvement over time and quality never plateaus.
We work where failure has real consequences — regulated industries, mission-critical platforms, and go-lives with no margin for error.
Federal and provincial systems, public registries, election technology — zero tolerance for failure.
Student information systems, registration platforms, and SIS migrations under peak enrollment load.
EHR platforms and health SaaS where data integrity and uptime are clinical requirements.
Oracle OCI, AWS, Azure migrations — data integrity, dual-workload testing, cutover clearance.
Core banking, payment processing — a failed transaction carries regulatory and reputational consequences.
LLM-powered applications and Agentic AI systems requiring purpose-built quality assurance frameworks.
Multi-tenant platforms where regression must never reach production at scale.
Network provisioning and subscriber platforms at carrier-grade availability requirements.
Real outcomes from real engagements — cloud migrations, AI launches, and quality transformation programs across Canada, USA, and globally.
"Tridentsoft cleared our Oracle OCI migration go-live with a level of rigour we had never experienced. Their performance testing surfaced three critical bottlenecks our internal team had missed. The cutover was flawless — not a single production incident."
"Their AI-powered test generation reduced our regression cycle from three days to six hours. The self-healing automation continued running through two major UI redesigns without a single manual script update. This is the future of QA."
"What distinguished Tridentsoft was the clarity of their written risk documentation. We knew exactly what was tested, what was not covered, and who owned each residual risk. That transparency gave our executives confidence to approve go-live on schedule."
Three layers. Every layer AI-informed. Selected for depth, not breadth — so every tool we use is one we know completely.
The tools that make us AI-first — purpose-built for testing Large Language Models, Agentic systems, and AI-powered applications that conventional tools cannot adequately validate.
The delivery engine — proven automation frameworks integrated into your pipeline from day one, covering UI, API, mobile, and contract testing across every release cycle.
The depth layer — ensuring your systems perform under real load, resist real threats, and are observable in production. AI-augmented analysis accelerates diagnosis from days to hours.
Three flexible ways to engage Tridentsoft — from a targeted project to a continuous quality engineering partnership.
Defined scope, timeline, and deliverables. Ideal for go-live clearances, migration validation, and performance audits where you need targeted senior expertise quickly.
Senior QA engineers work inside your delivery organisation — attending standups, owning the quality lane, integrating into your sprint cadence as a seamless extension of your team.
Continuous quality coverage — scheduled AI-augmented test runs, regression oversight, pipeline monitoring, and quarterly QA maturity assessments. Quality engineering as a managed service.
No commitment. No sales pitch. Just an honest assessment of where your quality practice stands today — and a clear view of where it needs to go. Most clients discover at least two critical gaps they did not know existed.