Every Change Tested
Tickets are verified in a real browser as they land, turning each shipped feature into permanent automated coverage.
Quality Worries Handled. Superhuman QA Coverage.
Dinoid is a QA team of AI agents, led by a senior QA engineer. Every change tested. Every bug proven on video. Every release a clear yes or no.
09:48 · ticket/BILL-418-invoice-vat
Real Browser · Video Attached
// Illustrative Tester + Bug Hunter run verify('credit VAT rounding', () => { open('/staging/invoices/418'); click('#apply-credit-note'); - expected: "R 1,149.99" + rendered: "R 1,150.00" (1c drift) + proof: replay-418.mp4 (00:19 narrated) });
Every ticket tested. Every bug on video.
When a developer moves a ticket to Ready for QA, the pod exercises it in a real browser, catches edge-case regressions, and sends back narrated video proof.
- Real-browser acceptance & edge cases 1 BUG PROVEN
- Narrated video + console/network trace ATTACHED
- Production access & merge button YOUR TEAM ONLY
Every Bug on Video
Bugs never arrive as vague tickets. Every report carries a narrated video recording, root cause, and a drafted fix.
Built in Your Tech Stack
We write clean, standard tests in whatever language and framework your team already runs — committed directly inside your repository.
Every Release a Yes or No
Senior QA leadership checks every agent verdict and delivers a single, accountable release readiness readout every Friday.
Three ways to buy testing. One takes the outcome.
Your existing testers stay and focus on high-risk new features while a founder-led Dinoid pod absorbs repeatable testing, suite repair, and pipeline triage.
QA Outsourcing
You buy headcount. Bugs arrive as plain tickets, manual regression still slows down releases, and hiring, training, and managing testers remains on your desk.
Self-Serve AI Test Tools
You buy a software licence. Failures still land on your engineers as noisy alerts, and maintaining brittle selectors as the product changes stays on your desk.
Dinoid AI QA Pod
You buy an outcome. One senior QA engineer directs five AI agents — delivering the output of three QA engineers, proving bugs on video, and owning suite health.
You buy a QA team, not a tool
One senior Dinoid engineer runs five specialized AI agents inside your workflow — live in two weeks. Filter the pod to see how overnight triage, daytime ticket QA, and bug fixes connect across a typical release day.
Senior QA Engineer
POD LEAD
Directs the agents, verifies every verdict, and answers directly to you.
Pipeline Doctor
02:14 · CI
Sorts flaky failures from real regressions and catches silent false greens.
Bug Hunter
06:30 · VIDEO
Explores unscripted paths overnight and files bugs proven on narrated video.
Tester
09:48 · BROWSER
Tests every ready-for-QA ticket in a real browser against edge cases.
Automator
11:20 · SUITE
Turns verified tickets into permanent automated tests in your existing stack.
Fixer
15:37 · DRAFT MR
Reproduces bugs, drafts the code fix plus a test, and waits for your merge.
+ One pod delivers the output of three QA engineers while your in-house testers focus on risky new work.
Every feature ships with its tests. Silent gaps surface fast.
A test suite left alone rots in weeks, and a green CI dashboard means nothing when tests silently skip. Your pod handles weekly delivery and looks where nobody has time to look.
False-Green Detection
In our own work we uncovered 55 green pipelines where 1,409 tests had silently stopped running for months. We verify tests actually execute.
Ticket-by-Ticket Browser QA
Every ticket moved to Ready for QA is exercised in a real browser as it arrives, so releases never wait on manual regression queues.
Narrated Video Bug Proof
Every bug is proven on video with exact reproduction steps, network payloads, and root cause — ending "cannot reproduce" loops.
Continuous Suite Repair
A test suite left alone rots in weeks. As your product evolves, the pod repairs selectors and user flows so coverage keeps compounding.
Deep Flake Investigation
In our own work, 21 tests ignored as flaky for years turned out to be catching a real product bug the whole time. Agents have the hours to look.
Drafted Fixes & Escape Locks
Every escaped bug is studied, reproduced, fixed in a draft MR alongside a new permanent test, and held for your engineer's review.
Your Only Job: One Page on Friday
Read one clear Friday summary: release readiness, tests executed, new coverage added, pre-release bugs caught, and escapes locked.
Testing First. Dev & Design Next.
QA is our fastest-impact entry point — and as we learn your product, our AI pods expand into UI/UX design, specs, and feature development.
Our track record. Measured.
Built by people who have led QA for decades across banking, e-commerce, and healthcare software. Figures below come from our own work leading QA at a 95-engineer European veterinary software platform serving 2,300+ clinics in 30 countries.
59% → 78%
Bugs Caught Before Customers
2,315 bugs caught in-house in five months before a single customer saw them, measured by tagging every bug by origin.
182 → 16,000+
Automated Tests Grown
Scaled automated browser and API coverage from 182 specs to over 16,000 permanent tests in two years.
0 Manual
Manual Regression Eliminated
10,000+ automated tests execute on every release so nobody clicks through checkout, billing, or clinical flows by hand.
2,523 MRs
Merged in One Quarter
Delivered in a single quarter by 7 QA engineers using these workflows — more changes merged than the next three teams combined.
Adapts to whatever tech stack, repo, and CI you already run.
No proprietary test recorder and no framework migration. Whether you ship web, mobile, APIs, or backend services, our agents write clean native tests in the exact languages and frameworks your team already uses.
Any Test Framework
Any App Language
Web & Mobile UI
REST, GraphQL & gRPC
GitHub & GitLab
Bitbucket & Azure
Any CI/CD Pipeline
Real Browsers
Review & Staging Apps
Video & HAR Traces
Jira, Linear & Slack
Cloud & Private VPC
Testing is where we start. Full-lifecycle AI pods come next.
Quality is the fastest, lowest-risk way to prove an AI pod inside your codebase. Once your releases are locked down and our agents know your domain, Dinoid expands with you across AI-powered product design, software development, and delivery.
AI Product & UI/UX Design
Design systems, interactive flows, UX critiques, and high-craft interfaces shaped with AI speed and senior human taste.
Specs & System Architecture
Turning rough feature briefs into unambiguous technical specs, API contracts, and edge-case maps before engineering starts.
AI-Native Software Development
Senior engineers directing coding agents inside your stack to ship full-stack features, refactors, and migrations as clean draft MRs.
Autonomous CI & Release Ops
Self-healing pipelines, staging orchestration, and automated post-deploy verification so fast shipping stays calm and predictable.
Live in two weeks. You hold the keys.
Start with a 10-day read-only scan on a single repository, move into full ticket and pipeline coverage by week two, and keep sole merge and production authority at every step.
Day 0 · The 10-Day Testing Scan
Read-only access to one repository and its CI. In ten days you get three things: where your testing is already strong, where the silent gaps sit, and every bug we prove on video.
Week 1 · Screen, Endpoint & Flag Map
Agents map every screen, API endpoint, and feature flag across your staging environment while your team highlights the riskiest areas first.
Week 2 · Pod Live on Tickets & Pipelines
Agents test incoming tickets in real browsers and watch CI pipelines overnight. Your senior Dinoid QA engineer verifies every single verdict.
Week 4+ · Compounding Suite & Friday Page
Coverage grows every week, every escaped bug becomes a permanent test, and Friday brings a single accountable quality readout for your release.
Strict Repo, CI & Production Boundaries
CI is read-only. Tests run on staging and review apps. Production, secrets, and flag deletes are blocked, and repo writes only open draft MRs.
100% Repo Custody & Zero Model Training
Every agent action is logged, your code never trains a model, POPIA Act 4 of 2013 applies, and every test we write in your tech stack stays 100% inside your repo.
A second opinion on your testing.
Ten days. One repo. Read-only. See where your testing is already strong, where silent gaps hide, and every bug we can prove on video — led directly by the senior QA engineer who built these agents.
Entity: Dinoid (Pty) Ltd · Registered in South Africa
Direct Dispatch: contact@dinoid.co.za
Repo Custody: Any Tech Stack · Draft-MR Only · 100% Yours
Boundaries: Production Blocked · Zero Model Training · POPIA