Autonomous web testing that understands your app before it tests it.
TestPilot combines code intelligence, runtime exploration, guarded execution, and multi-browser testing to help modern teams discover critical flows, generate better tests, and reduce regression risk — with human approval for risky actions.
TestPilot is not a blind bot clicking through your UI. It learns how your system works, plans exploration intelligently, detects high-risk actions before execution, and explains failures in a way your engineering and QA teams can act on.
Controlled autonomy, mapped before execution
Exploration plans, guardrails, and browser coverage shown in one operator-ready view.
3
Input modes
7
Specialized agents
5
Browser targets
Agent workflow
Analyze code and runtime signals
Prioritize critical flows and risk checkpoints
Run guarded validation across browser environments
Browser and trust coverage
Modern web apps change fast. Traditional test automation struggles to keep up.
Engineering teams are under pressure to ship faster, but the cost of test maintenance keeps growing. End-to-end tests become brittle as UI changes. Record-and-playback tools break too easily. Single-prompt AI testing lacks system understanding. Black-box exploration misses hidden flows, role-based behaviors, and conditional logic.
At the same time, failure triage eats up valuable engineering hours. Teams spend too much time figuring out whether a failed run means a real bug, a flaky test, bad data, or an environment issue.
And when autonomous systems act without proper controls, one wrong action in the wrong environment can cause real damage.
Writing and maintaining tests is expensive
Test suites decay quickly in fast-moving products
Black-box exploration misses critical and hidden flows
Failure triage takes too much time
Unsafe automation can create operational risk
Teams need more coverage without losing control
A smarter way to explore, test, and understand your application
TestPilot combines code-aware discovery, runtime exploration, AI-assisted test design, guarded execution, and intelligent failure analysis into one workflow.
Whether you connect a GitHub repository, upload a ZIP package, or start from a deployed application with no source code, TestPilot builds an understanding of your system before it starts testing.
01
Connect your application
Use GitHub, upload a ZIP, or start from a live runtime environment.
02
Understand system structure
Analyze routes, forms, permissions, flows, and behaviors from code and runtime.
03
Build an exploration plan
Identify what to test first based on risk, coverage gaps, and critical flows.
04
Explore intelligently
Navigate the app with awareness of hidden paths, roles, validations, and state changes.
05
Generate stronger tests
Propose meaningful smoke, regression, validation, and permission-based scenarios.
06
Detect risky operations
Classify destructive or high-impact actions before execution.
07
Execute safely across browsers
Run tests in multiple browsers and environments with policy controls.
08
Explain what happened
Classify failures and highlight likely root causes for faster triage.
Capabilities designed for teams that need better signal, wider coverage, and tighter control
Understands your app before testing it
TestPilot builds context from code, runtime behavior, or both — so tests are based on how your system actually works.
Works with code or without code
Connect GitHub, upload a ZIP package, or start from a deployed app when source code is not available.
Plans exploration intelligently
Instead of random clicking, TestPilot creates a targeted exploration plan based on flows, risk, and system structure.
Detects risky actions before execution
High-impact operations are recognized in advance and can be paused for approval or blocked entirely.
Runs tests across browsers
Validate critical flows in Chromium, Chrome, Edge, Firefox, and WebKit-oriented coverage.
Explains failures, not just reports them
Get better signal from failed runs with likely classification: bug, flake, data issue, environment issue, or expected change.
Start where your system is today
Not every team works the same way. TestPilot supports three input modes so you can adopt it without changing how your application is built or deployed.
Connect GitHub
Best for
Teams with active repositories and modern delivery workflows
TestPilot analyzes repository structure, routes, forms, permissions, existing tests, and recent code changes to build a deeper understanding of the application.
Why it matters
Best depth of understanding. Strongest test suggestions. Better regression planning after code changes.
Upload ZIP
Best for
Teams that can share code packages but do not want to connect a live repository
Upload a project archive and let TestPilot analyze the codebase offline to build a system map and propose test coverage.
Why it matters
Strong code-based insight without repository integration. Useful for pilots, internal reviews, and controlled environments.
Runtime-Only
Best for
Teams with only a deployed application or limited access to source code
TestPilot explores the live application directly, discovers flows, and builds tests from runtime behavior alone.
Why it matters
Fastest way to get started when code access is unavailable. Ideal for black-box systems, inherited apps, and third-party platforms.
Autonomy where it helps. Human control where it matters.
TestPilot is designed for real-world systems, where one unsafe step can create real operational impact. That is why risky actions are treated as first-class concerns, not edge cases.
Before executing a step, TestPilot can classify it by risk level and apply environment-specific policies. Actions that may be destructive, irreversible, financially sensitive, or operationally critical can be blocked, paused for approval, or allowed only under specific rules.
Examples of risky actions
- Deleting records or users
- Changing system configuration
- Executing admin-only operations
- Triggering financial workflows
- Sending or publishing irreversible actions
- Editing critical settings in sensitive environments
Safety controls
- Risk classification before execution
- Human approval for sensitive actions
- Safe, approve, and allowlist policy modes
- Environment-aware execution rules
- Guardrails for production and prod-like systems
- Reduced chance of destructive mistakes
Specialized agents working together in a controlled workflow
TestPilot uses specialized agents, each with a focused role. This makes the system more explainable, more reliable, and easier to control.
Code Intelligence Agent
Role
Understands the system from source code when available.
Uses
Repository structure, routes, forms, permissions, schemas, existing tests, diffs.
Produces
Application map, flow hypotheses, coverage gaps, risk signals.
Why it matters
Gives the system structural understanding before exploration begins.
Exploration Planner
Role
Creates a targeted exploration strategy.
Uses
Code signals, runtime hints, known flows, risk priorities, environment rules.
Produces
Ordered exploration plan, test candidates, approval checkpoints.
Why it matters
Avoids wasteful, random exploration.
Runtime Explorer
Role
Navigates the application and validates real behavior.
Uses
Browser state, UI structure, forms, responses, DOM, network events.
Produces
Discovered flows, runtime evidence, screenshots, traces, behavior confirmations.
Why it matters
Verifies what the application actually does, not just what the code suggests.
Test Designer
Role
Proposes and generates meaningful test coverage.
Uses
Application map, runtime findings, known risks, prompt input from operators.
Produces
Smoke tests, regression scenarios, negative tests, permission-based flows.
Why it matters
Turns understanding into usable, high-value test assets.
Execution Orchestrator
Role
Decides what runs, where, and under what policy.
Uses
Environment, browser matrix, approval rules, selected tests, execution schedule.
Produces
Managed runs, job dispatches, policy-controlled execution.
Why it matters
Ensures safe, repeatable execution at scale.
Result Analyst
Role
Interprets what happened after execution.
Uses
Traces, screenshots, logs, browser output, previous runs, network results.
Produces
Failure classification, probable causes, actionable summaries.
Why it matters
Reduces time lost in failure triage.
Human Operator
Role
Provides strategic direction and approval where needed.
Uses
Business context, risk tolerance, release priorities, environment sensitivity.
Produces
Scope decisions, approval for risky actions, validation of critical outcomes.
Why it matters
Keeps control in the hands of the team.
Run critical flows across the browsers your users actually depend on
A flow that works in one browser can still fail in another. TestPilot helps teams reduce release risk by executing targeted scenarios across modern browser environments.
Why it matters
- Catch browser-specific regressions before release
- Improve confidence across user environments
- Validate critical flows consistently
- Reduce costly late-stage surprises
Environment support
- Staging
- Review apps
- Prod-like environments
- Production with guarded policies and approval controls
Where TestPilot gives quality teams leverage first
Smoke testing before release
Validate your most critical user flows before shipping and catch obvious regressions early.
Outcome
Faster release confidence with less manual effort
Change-aware regression after pull requests
Use code and runtime signals to focus regression on the areas most likely to be impacted by change.
Outcome
Better coverage with less wasted execution
Discovering untested critical flows
Find important routes, permissions, and interactions that exist in the system but are missing from your current test coverage.
Outcome
Fewer blind spots in quality assurance
Safe testing of admin functionality
Explore and validate high-risk admin flows under policy controls and human approval.
Outcome
Safer validation of sensitive workflows
Faster failure triage
Classify failed runs and reduce time spent figuring out what actually broke.
Outcome
Quicker debugging and better engineering focus
Scaling QA for fast-moving SaaS teams
Give lean teams more leverage by combining structured exploration, better test generation, and guided execution.
Outcome
More coverage without proportional growth in manual effort
Estimate how much release capacity TestPilot can give back to your team
Model the recurring cost of regression effort and failure triage, then compare it with a guarded autonomous testing workflow.
Inputs
This model estimates time recovered from regression execution and failure triage. Adjust the assumptions to reflect your team.
Results
Hours saved per month
250.9 h
Monthly savings
$18,816
Net monthly benefit
$18,316
Annual net benefit
$219,792
Payback period
0 mo
Credible for engineering leaders who need better automation without operational risk
TestPilot is designed to fit enterprise QA and engineering organizations that care about explainability, control, and measurable efficiency gains.
Policy-aware by design
Risk rules and human approval checkpoints are part of the core workflow, not bolted on after the fact.
Flexible adoption paths
Start with source code, a ZIP package, or runtime-only access depending on your delivery and security constraints.
Actionable output
Runs come back with traces, screenshots, likely failure causes, and clearer next steps for engineering and QA.
3
input modes
7
specialized agents
5
browser targets
1
guarded workflow
Questions teams ask before adopting autonomous testing
Do we need source code for TestPilot to be useful?
No. TestPilot can start from GitHub, a ZIP package, or a deployed runtime. Source code gives deeper context, but runtime-only exploration is supported.
Can TestPilot run against staging or production?
Yes, with policy controls. Teams can define environment-specific rules, require approval for risky actions, and keep sensitive environments under guarded execution.
How does human approval work?
Risky steps can be flagged before execution. Depending on policy, they can be blocked, paused for approval, or allowed only under specific rules.
Which browsers are covered?
TestPilot supports Chromium, Chrome, Edge, Firefox, and WebKit-oriented coverage for Safari-sensitive validation.
Does TestPilot replace our existing test stack?
It is designed to complement and strengthen existing workflows. Teams can use it to discover flows, generate new tests, focus regression, and improve failure triage.
How quickly can a team get started?
A team can begin with runtime-only exploration quickly, then add deeper code-aware context through GitHub or ZIP-based onboarding as needed.
Bring autonomous testing into your release process without giving up control
Book a demo to see how TestPilot maps your application, guards risky actions, and helps QA and engineering teams move faster with less regression drag.