Testing that doesn’t scale
Manual QA falls behind every sprint, and automated suites break whenever the interface changes.
AI-Driven QA
Powered by PolarisFrom idea to confidence
Our software quality and security service. We run it on Polaris, a platform of seven specialized agents that test your web app, your mobile app and your APIs, measure their performance and hunt for vulnerabilities. Every conclusion comes with the evidence behind it.
- 7
- specialized agents
- 3
- fronts: security, functional and performance
- 1
- platform with all the history and evidence
The problem
Testing properly no longer fits in the delivery cycle
Every release ships faster than the team can test it, and security, functionality and performance get reviewed separately, if at all.
Security once a year
The annual pentest comes too late: between one review and the next, dozens of changes ship that nobody looked at.
Reports without evidence
A “looks vulnerable” or a “passed” with no trail is useless to the developer who has to fix it.
Our principle
AI interprets. Engines measure.
In Polaris, the language model helps understand requirements, investigate and explain; actions and measurements are carried out by proven tools like Playwright, k6, Maestro and axe-core. A model’s opinion never replaces a measurement.
The agents
Seven specialists, one team
Each letter of POLARIS is an agent. Each one gets a goal, works with its own engines and tools, and leaves the results in your project.
Offensive security
Phoenix
Stay ahead of the attack.
Security with tests and evidence
Assesses web applications and APIs, the code in your repositories, how well your AI agents resist prompt injection and, with authorized access, the real impact after a breach.
- How it works
- Defines the scope, maps the attack surface and runs specialized tests: session and permissions, IDOR, injections, SSRF, business logic, GraphQL and more. Every finding is reproduced before it’s reported.
- What you get
- Prioritized findings with impact, severity, evidence, reproduction steps and recommendations.
- To get started
- Asset, environment, test accounts and a signed authorization for the engagement.
Mobile automation
Orion
Your app, ready for what’s next.
Journeys and tests in your app
Checks your mobile app’s flows —sign-in, navigation and expected outcomes— on a local Android device or on Maestro Cloud.
- How it works
- Takes the already-built app. It discovers the screens on its own or turns your user stories into Maestro YAML flows, which are validated before they run.
- What you get
- Reusable flows, a result per journey, the exact step where it fails and screenshots. It tells a business failure apart from a device or selector issue.
- To get started
- An APK or compatible package, plus a device, emulator or Maestro Cloud account.
Requirements and test cases
Lyra
Shape your next big idea.
Clear requirements for the team
Drafts user stories, bug reports and test cases, and validates a change against the story that started it.
- How it works
- Checks your description against templates, documents and the available code. When validating a PR it reads the diff criterion by criterion: the developer’s comment is a hypothesis, not proof.
- What you get
- Editable deliverables in Markdown or PDF: acceptance criteria, Gherkin scenarios and bugs ready to review or publish as GitHub issues.
- To get started
- An idea, story or problem. A PDF, screenshots or a repository, depending on the case.
Web automation
Atlas
Every click, more confidence.
Functional testing for your web app
Walks through your web application —public or behind a login— and builds reusable suites to check its flows.
- How it works
- Reads the real DOM and picks stable selectors. It generates test cases as data and compiles them into Playwright tests and Page Objects. Deep mode adds user story coverage.
- What you get
- A Playwright suite that’s yours, a map of the journey, results per case and a diagnosis that separates product, selector and environment failures.
- To get started
- A URL and scope. Test credentials if there’s a login.
Performance and load
Rigel
Shine under pressure.
How your service holds up under load
Measures latency, errors and request volume for your endpoints or Postman collections with controlled traffic.
- How it works
- Turns your configuration or collection into a k6 script, checks access before applying load and runs the agreed profile: constant load, ramping, spike, rate per minute or breaking-point search.
- What you get
- p95 latency, error rate and volume per endpoint against the agreed thresholds, to catch regressions and measure capacity.
- To get started
- Endpoints or a Postman collection, variables and an environment ready for load.
Mobile security
Icarus
Security that travels with you.
Security inside the app
Analyzes your mobile app package and, when the environment allows it, observes its behavior at runtime.
- How it works
- Reviews the manifest, permissions, network configuration, certificates, libraries and secrets in the code. On compatible Android devices it uses Frida and mitmproxy to observe the app live.
- What you get
- Findings with technical evidence and severity, a scorecard, a test matrix and recommendations aligned with OWASP MASVS.
- To get started
- An APK or compatible package. A device or emulator for dynamic testing.
Experience and interface
Sentinel
Every detail counts. So does every person.
An interface you can verify
Audits the visual experience and accessibility of your website, or checks every control against what the code promises.
- How it works
- Opens the page with Playwright, measures with axe-core, tests keyboard navigation and records LCP and CLS across several screen sizes. A vision model adds judgment on hierarchy and clarity.
- What you get
- Observations with a screenshot, criterion and measurement, plus prioritized recommendations. Anything it couldn’t verify is marked as pending, not as passed.
- To get started
- A URL and scope. A reference mockup or code if applicable.
How it works
From a goal to a verifiable conclusion
Every run follows the same path, whichever agent is doing the work.
- 01
Goal and inputs
A URL, an app package, a repository, a user story or a request collection, depending on the agent.
- 02
Agent and tools
The right agent prepares the work with its engine and specialized tools.
- 03
Execution and verification
The result is checked against requirements, code, real responses or metrics, not just against what the model claims.
- 04
Evidence and deliverable
Reports, suites and evidence are saved per project, ready to review and run again.
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Identified inputs
You know exactly what was tested: which URL, which app version, which repository branch.
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Cross-checking
A model’s interpretation doesn’t replace a measurement. Every conclusion rests on something that can be verified.
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Live tracking
Each agent shows its phases and events as it works, and you can chat with it during the run.
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Traceability
History, reports and evidence per project, so you can review what ran and what’s still pending.
The platform
All your QA in one place
Your team and ours see the same runs, findings and evidence.
You chat with Polaris, attach evidence and set the next goal. The project status is always in view.
Each agent shows its progress by phase —recon, investigate, verify, report— and you can talk to it while it works.
The history of every run with its agent, status, duration and owner.
The project’s activity day by day: runs, scans and pentests, with their outcome.
Find the right agent for each task and browse the project memory and its code map.
Platform screenshots with people and project names blurred.
Deliverables
What stays in your hands
We don’t hand you an opinion: we hand you artifacts your team can review, reuse and run again.
Vulnerability report
Findings prioritized by severity, with impact, evidence, reproduction steps and a fix recommendation.
Playwright suite
Tests and Page Objects that plug into your repository and run in your pipeline.
Maestro flows
YAML journeys you can run again with every version of your app.
Load report
p95 latency, errors and volume per endpoint against the agreed thresholds.
Stories and Gherkin cases
Acceptance criteria and scenarios ready to review or publish as issues.
UX and accessibility audit
Observations with a screenshot, rule and measurement, plus prioritized recommendations.
Engines and frameworks
- Playwright
- Maestro
- Grafana k6
- axe-core
- nuclei
- Frida
- mitmproxy
- Promptfoo
- OWASP LLM Top 10
- OWASP MASVS
- MITRE ATLAS
How we work
A service, not just a tool
Our QA and cybersecurity team runs Polaris for you and reviews every result before it reaches your team.
- 01
Scope and authorization
We define assets, environments, test accounts and rules of engagement. Nothing runs without authorization.
- 02
Project setup
We load your URLs, apps, repositories and requirements into Polaris and choose the agents for each front.
- 03
Execution and expert review
The agents run; our specialists validate the findings and rule out false positives.
- 04
Report and remediation
We present the results to your team and support the fixes until they’re verified.
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With every release
Suites and tests are ready to run again: every version ships with its own evidence.
FAQ
What people usually ask us
Does it replace my QA team?
No, it multiplies it. Polaris automates the repetitive work and leaves evidence; your team and our specialists decide what gets fixed and when.
Is it a real pentest or an automated scanner?
Phoenix combines scanning tools with targeted testing and verifies every finding. The report separates what was reproduced with evidence from what remains a hypothesis.
Do you need access to production?
We recommend working on a QA or staging environment with test accounts. Scope and authorization are agreed in writing before anything runs.
What happens to my data and credentials?
They’re used only within the agreed scope and the project in Polaris. If a finding involves secrets, the report documents it without exposing them.
Are the generated tests mine?
Yes. Playwright suites and Maestro flows are delivered as code and can be published to your repository and your pipeline.
Can I test my AI agents or chatbots?
Yes. Phoenix assesses their resistance to direct and indirect prompt injection and to jailbreaks, with references to OWASP LLM Top 10 and MITRE ATLAS.
Does it work with iOS apps?
Icarus analyzes iOS packages statically. Dynamic testing with instrumentation is available today for Android.
Does it certify WCAG accessibility?
Sentinel automates the measurements, but no automated audit is on its own equivalent to a WCAG certification. If you need one, we complement it with specialized human review.