Quality Engineering & AI Test Automation Services on AWS

Every release, migration, and model update changes what your application does. Fission Labs is the quality engineering partner for AWS teams: we find where quality risk sits, automate the tests that catch it, and run them as gates on every release. Our AI-native QA platform, CogniQA, gets coverage in place sooner and keeps it stable as your product changes.

Why Fission Labs for Quality Engineering on AWS Most testing stops at the UI, but costly failures sit deeper: in APIs and integrations under load, in access and configuration changes after a release, or in AI answers that shift when a model or prompt changes. As an AWS Advanced Tier Services Partner and AWS AI Services Competency Partner, we test every layer where that risk sits.

• Our own platform, not just people. CogniQA creates, runs and self-heals tests, so automated regression is in place in weeks, not quarters.
• AWS-native delivery. Suites run as quality gates in AWS CodePipeline, with failures traced through CloudWatch and X-Ray and test environments provisioned as code in your account.
• AI quality measured like code. Golden datasets, semantic scoring and release thresholds turn “the answers look fine” into numbers you can sign off on.
• Security in the same cycle. OWASP-based application, API and LLM security testing runs alongside functional and performance testing.
• You own everything. Frameworks, suites, data generators and runbooks live in your repositories from day one.

What You Get

• A measured starting point: QA maturity assessment, risk-based test strategy and a baseline of coverage, defect leakage and release cycle time.
• Regression in hours, not days: web, API and mobile automation on Playwright, Selenium, Cypress and Appium, gated in CodePipeline, GitHub Actions or Jenkins.
• AI that behaves as specified: evaluation of RAG, agent and prompt-based apps on Amazon Bedrock for accuracy, groundedness, hallucination and drift.
• Security before attackers find it: penetration testing and DAST with OWASP ZAP and Burp Suite against the OWASP Top 10, API Security Top 10 and Top 10 for LLM Applications, with retests.
• Known limits under load: load, stress, spike and soak tests with k6, JMeter or Locust, traced in CloudWatch.
• Migrations without surprises: before-and-after functional, data reconciliation and performance comparison for workloads moving to AWS.
• Every user covered: real-device Android and iOS testing, and WCAG 2.1 accessibility verified with NVDA and JAWS.
• Quality that keeps running: managed QA for release validation, RBAC and configuration drift checks, and monthly quality metrics.

Accelerated by CogniQA CogniQA, listed on AWS Marketplace, covers the test lifecycle in one place: plain-English test creation, automatic discovery of screens and journeys, live execution in real browsers, background runs at volume, and AI self-healing with one-click human approval. It also tests the AI features in your application. Tests are standard Playwright, so there is no lock-in.

Proven Results

• Multi-tenant AI/ML talent platform: 1,000 automated E2E tests cut manual regression effort by ~40%. Synthetic data for up to 400K employees validated AI skill-rating at scale, and an RBAC comparator across 30 roles and 600 permissions saves 3–4 hours per release.
• Dimagi CommCare, 50,000+ frontline health workers in 130+ countries: one QA program across six disciplines, with 1,000+ manual, 200 automated and 70 performance test cases per release, and WCAG 2.1 verified.
• GenAI RAG and agent application: a 1,200-case golden dataset raised answer accuracy from 78% to 94%, cut hallucinations from 9% to under 2%, and runs full regression after any change in under 2 hours with 60% less manual review.

Security and Governance

• Audited delivery under SOC 2 Type II controls, with NDAs and least-privilege IAM roles scoped to your AWS accounts.
• Synthetic or masked test data by default; production PII is never copied into test environments.
• Go/no-go criteria agreed up front, such as zero open critical or high defects, 100% critical-path pass, p95 latency within target and AI scores above threshold.
• Audit-ready evidence every release: test results, defect trends, security findings and drift reports.

How We Engage Assess, strategize, implement, validate and operate: from maturity and risk review through automation and release sign-off to managed QA with monthly metrics.

Who This Is For SaaS and enterprise teams releasing on AWS, multi-tenant platforms with complex permissions, organizations migrating to AWS, teams shipping GenAI on Amazon Bedrock, and engineering leaders who need measurable release readiness.

Get Started Book a free QA consultation at fissionlabs.com/contact-us. We review your release process and test coverage, then recommend an assessment, a targeted engagement or managed QA.