GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language
ProjectDiscovery Neo records 158,530 monthly visits with +22.5% month-over-month growth and Paid, Contact for Pricing pricing. QA.tech records 30,550 monthly visits with -4.4% growth and Paid, Contact for Pricing pricing.

Autonomous AI QA agents that verify your web and mobile app on every pull request
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | projectdiscovery.io | qa.tech |
| Pricing Model | Paid, Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 158.53K (158,530) | 30.55K (30,550) |
| MoM Traffic Delta | +29.15K (+22.5%) | -1.42K (-4.4%) |
| Primary Market & Share | 🇺🇸 United States (28.2%) | 🇸🇪 Sweden (24.4%) |
| Direct Visits / mo | 66.28K | 21.23K |
| User Rating | 4.6 | 4.3 |
| Supported Platforms | Website | Website |

AI security platform that finds exposures, proves they're exploitable, and ships the fix
External, internal, cloud and code assets are discovered continuously and linked in one living context with reachability mapping.
Every issue replays against the live target and ships with proof, or is filtered out — cutting false positives at the source.
Validated issues get a fix pull request and a regression test, then are retested on every deploy.
Agents sign in like real users with SSO, TOTP MFA and VPN, and test staging or prod under scope guardrails.

Autonomous AI QA agents that verify your web and mobile app on every pull request
Describe a journey or rule in chat and the agent turns it into durable test cases that survive refactors and redesigns.
Every pull request gets a dynamic exploratory pass with preview environments, failure breakdowns, screenshots, console and network logs.
Agents target real browsers and native iOS and Android apps, so coverage reaches beyond the web front end.
Findings flow into Jira and Linear, and agents can be queried over MCP by other coding agents.
GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language

Unifies code, cloud, and runtime vulnerability scanning with automated AI fixes, but focuses less on pure offensive red teaming.
Unifies code, cloud, and runtime vulnerability scanning with automated AI fixes, but focuses less on pure offensive red teaming.

Ship with confidence: one system of record for manual, automated, and CI tests
AI-augmented quality platform for web, mobile, API and desktop testing

SpecialistSpecializes in red teaming and security for machine learning models, whereas Neo targets general application and infrastructure security.
SpecialistSpecializes in red teaming and security for machine learning models, whereas Neo targets general application and infrastructure security.

Automates continuous red teaming and security reviews, but places more emphasis on CI/CD code checks than broad infrastructure discovery.
Agentic end-to-end testing that writes, runs and heals your test suite
Agentic end-to-end testing that writes, runs and heals your test suite

Write end-to-end test automation in plain English, no code required
Write end-to-end test automation in plain English, no code required
Agentic AI QA engineer for web, iOS, and Android testing
Agentic AI QA engineer for web, iOS, and Android testing

AI testing platform for the entire software testing lifecycle
AI testing platform for the entire software testing lifecycle

Focuses on automated web application and API penetration testing, but has fewer autonomous exploit validation features.
Focuses on automated web application and API penetration testing, but has fewer autonomous exploit validation features.

SpecialistProvides rigorous multi-cloud posture management and compliance monitoring, but lacks active offensive exploit validation capabilities.
SpecialistProvides rigorous multi-cloud posture management and compliance monitoring, but lacks active offensive exploit validation capabilities.