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Multi-agent QA platform

The AI teammate
your QA team has been
waiting for.

Tessa AI plans, runs, and reviews testing work end-to-end, across manual execution, automation frameworks, requirements review, and knowledge ingestion. One platform, many specialized agents.

See how it works
By the numbers

A library that grows
with your team.

Tessa AI ships with a curated set of QA agents, workflows, and skills you can use today, and connects to the tools your team is already paying for. New playbooks land every release.

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QA agents
0
QA workflows
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QA skills
0
Integrations
How it works

Plan, dispatch, execute,
all the way to a report.

One conversation kicks off a real workflow. Tessa AI picks the right agents, runs them in the right order, and connects to the tools your team already uses, browsers, mobile, APIs, TMS, knowledge base.

Now runningmanual-test
STLC coverage

Every phase of the
software testing lifecycle.

Tessa AI doesn't replace one tool, it owns the work that runs across the whole STLC. Below is what it does in each phase, the workflows it ships, and the agents that do the work.

  • Phase 01

    Analyse user story

    Tessa AI reads the story, walks the linked knowledge base, and surfaces the impact: which areas it touches, which existing tests are at risk, which open questions block test design.

    • Cross-link the story with existing requirements
    • Detect missing acceptance criteria
    • Map affected user flows and edge cases
    Workflowsimpact-analysisexplore-app
    Sub-agentsanalystresearcher
  • Phase 02

    Review requirements

    Two-layer review against your knowledge base: a static text pass plus a grounded pass that quotes the wiki when a requirement contradicts product reality. Critic loop guards against hallucinated findings.

    • Clarity, ambiguity, testability checks
    • Grounded contradictions with cited wiki evidence
    • Risk register + delta against pain-point inventory
    Workflowsreview-requirementsreview-pain-pointsgrounded-check-requirements
    Sub-agentsstatic-checkergrounded-checkercriticreporter
  • Phase 03

    Test planning

    Tessa AI maps requirements onto a coverage plan: what's already covered, where the gaps are, which scenarios are worth designing first. The output is a coverage map you can show stakeholders.

    • Build a requirement-to-test traceability matrix
    • Prioritise high-risk and uncovered areas
    • Draft a manual scenario when a gap is found
    Workflowscoverage-mapaudit-test-coveragecreate-manual-scenario
    Sub-agentsmapperdesignerreporter
  • Phase 04

    Test design

    Generate full test suites from requirements straight into your TMS, or into a shared sheet for review. Every case is traced back to a REQ id so coverage stays measurable.

    • Generate test cases with traceable REQ → case ids
    • Cover happy paths, edge cases, negative paths
    • Push to TMS via MCP, or to a shared spreadsheet
    Workflowsgenerate-test-suitepropagate-change-to-tests
    Sub-agentsanalystdesignerwriterreviewer
  • Phase 05

    Test execution

    Drive the real browser, the real mobile app, or the real CI runner. Manual tests get evidence captured automatically. Autotests get run, retried, and triaged, failures land back as actionable diffs.

    • Execute manual cases with auto-captured evidence
    • Bootstrap or extend an automation framework
    • Run autotest suites and triage flakes
    Workflowsmanual-testadd-automation-scenariocreate-automation-frameworkextend-automation-frameworkrun-autotestsdebug-failed-autotest
    Sub-agentsplannerexecutorarchitectcoderreporter
  • Phase 06

    Reporting

    Every run produces a publishable report: pass/fail breakdowns, risk register, screenshots, links to bugs. The same artifacts are filed straight into your bug tracker, no copy-paste.

    • Compose evidence-rich pass/fail reports
    • File bugs to your tracker with full context
    • Summarise findings back into the knowledge base
    Workflowsfile-bug-to-trackeranalyze-screenshotssummarize-to-wiki
    Sub-agentsreporteranalyst
Platform

The real interface.
Eight components, one product.

Tessa AI ships as a single web app organised around the work QA teams actually do. Click any component below, the mock cycles through the live UI for each one.

tessa.ai / acme-checkout / dashboard
T
Tessa AI
Project
acme-checkout
Dashboard
AI Teammate
Requirements
Runner
Editor
Knowledge Base
Skills
Settings
Time saved by the agent
547 hours
≈ 68 working days saved
Total tasks
342
Tokens used
12.4M
8.9M in · 3.5M out
Spend
$234.56
Done / failed
89 / 3
547hours
ROI by activity
test_design128h
requirements_analysis152h
bug_triage96h
coverage_audit84h
Activity over time
WeekMonthQuarter
↑ +18% vs previous month
Integrations

Works with the tools
your team already uses.

Tessa AI plugs into your test management, code, project tracker, knowledge base and chat, no migration, no parallel systems. 14 native integrations and counting.

GitHub
GitLab
Bitbucket
Azure DevOps integration logo — Tessa AIAzure DevOps
Jira
Linear
Trello
Qase
TestRail
Xray integration logo — Tessa AIXray
Playwright integration logo — Tessa AIPlaywright
Confluence
Slack
Google Drive
GitHub
GitLab
Bitbucket
Azure DevOps integration logo — Tessa AIAzure DevOps
Jira
Linear
Trello
Qase
TestRail
Xray integration logo — Tessa AIXray
Playwright integration logo — Tessa AIPlaywright
Confluence
Slack
Google Drive
Google Drive
Slack
Confluence
Playwright integration logo — Tessa AIPlaywright
Xray integration logo — Tessa AIXray
TestRail
Qase
Trello
Linear
Jira
Azure DevOps integration logo — Tessa AIAzure DevOps
Bitbucket
GitLab
GitHub
Google Drive
Slack
Confluence
Playwright integration logo — Tessa AIPlaywright
Xray integration logo — Tessa AIXray
TestRail
Qase
Trello
Linear
Jira
Azure DevOps integration logo — Tessa AIAzure DevOps
Bitbucket
GitLab
GitHub
Who it's for

Built for the people
who own quality.

QA Engineers

Stop being the bottleneck.

Hand off the work that drains your week, coverage audits, requirements review, manual regression, framework boilerplate. Tessa AI does the runs, you own the calls.

  • Requirements review with risk register
  • Coverage audits with full traceability
  • Manual tests executed in a real browser
  • Automation framework scaffolding in minutes
Product Owners

Ship with confidence, without owning QA.

You don't have a dedicated tester, or yours is buried. Describe what changed in plain language; Tessa AI plans the testing, runs it, and hands you a report a stakeholder can read.

  • Plain-language test planning from a PRD
  • Impact analysis before you merge
  • Manual smoke runs on demand
  • PR-ready reports, no QA jargon
Developers

Get testing off your plate.

Stop hand-writing test cases for every PR. Point Tessa AI at a diff or a ticket, it generates the scenarios, runs them, and flags real regressions, not flakes.

  • Test cases generated from a diff or REQ
  • BDD scenarios that trace back to requirements
  • Runner that reports failures, never patches them
  • Pre-merge impact analysis on touched code
QA workflows

Every job QA actually does,
already a workflow.

One conversation, one outcome. Pre-built playbooks for the work QA teams ship every day, from test design to execution to coverage. Each is a YAML file you can read, fork, and adapt.

Generate a test suite

Turn requirements into a full set of test cases, traced back to every REQ. Pushes straight to your TMS or a Google Sheet.

Run a manual test

Tessa drives a real browser through the scenario, captures screenshots and traces, and writes the report.

Design a manual scenario

Describe the feature in plain language; get back a complete manual test case with steps and expected results.

Audit test coverage

Read-only sweep of your existing TMS against the requirements base. Rebuilds the traceability matrix, flags blind spots.

Map coverage gaps

Analyzes which areas of the product have thin or stale test coverage, and what should be added first.

Impact analysis

Before you merge: which features could break, which tests must re-run, who needs to look at it.

Review requirements

Two-layer review of a SHALL-style spec: clarity, ambiguity, testability, edge cases, plus product-context conflicts.

Reproduce a bug report

Takes the steps from a ticket, runs them in a real browser, captures trace and screenshots, and tells you whether it actually reproduces.

Propagate a requirement change

When a REQ changes, finds every linked test case and proposes the concrete edit, outdated step, broken expected, new gap.

Bootstrap a test framework

Scaffold a new automation framework from scratch, config, page objects, runner, CI hooks, in one conversation.

Add an automated scenario

Turn a single REQ or BDD case into a working Playwright test, wired into your existing framework.

Run the automated suite

Kicks off the test runner, reports failures honestly, never patches a flaky test to make it green.

ROI calculator

Plug in your numbers.
See your monthly ROI.

Move the sliders to match your team's day-to-day volume. We multiply by 22 working days, your baseline hours, and a typical QA hourly rate to estimate what Tessa AI gives back.

Your team22 working days / month
Test cases designed
20cases / day
User stories reviewed
8stories / day
Autotests written
4scenarios / day
Bugs triaged
12bugs / day
Coverage audits
2audits / week
QA hourly rate (assumed)$50
Cost per agent task$0.20
Monthly savings
$60.1k
net / month
151 working days · 1,206 h per month
Test cases designed440 h
User stories reviewed264 h
Autotests written352 h
Bugs triaged79 h
Coverage audits70 h
$60.3k
Gross saved
$195
Tessa AI cost
977
Tasks / month
Numbers are illustrative, counts × your baselines × an assumed hourly rate, minus a flat cost per agent task. Reach out for a real estimate against your project.
Pricing

Pricing scoped to your team.
Not your usage spikes.

No public per-seat list yet, we want to understand your setup before quoting. Most teams land on a flat monthly per the package below.

Team

For QA teams adopting AI for the first time

Talk to us
  • Up to 10 seats
  • All 20 workflows
  • Standard integrations
  • Email support
Most popular

Scale

For organisations standardising QA across projects

Custom
  • Unlimited seats & projects
  • Custom workflows & roles
  • SSO, audit logs, role policies
  • Dedicated success engineer

Self-hosted

Run Tessa AI inside your own VPC

Custom
  • Docker / Kubernetes deploy
  • Bring your own LLM keys
  • Compliance review support
  • Air-gapped option
FAQ

Things teams ask
before they sign up.

Yes, and you don't have to figure it out alone. Our team works with you to adapt and tune Tessa AI to your stack, your processes, and the way your QA team actually ships. From a guided setup to deeper customization, you get a system shaped around your project, not a generic template.
We use Anthropic's Claude family today and route per role: smaller models for analysis and review, larger models for code generation. Multi-provider support (OpenAI, open-weights) is on the roadmap.
Yes, on the Self-hosted plan. Tessa AI is a Docker-Compose / Kubernetes deployable application. With air-gapping you bring your own private LLM gateway, Tessa AI speaks the standard Anthropic API.
Tessa AI is built around persistent project context, scoped skills per role, compact handoffs between agents, and audit-grade artifact tracking, none of which a chat window gives you. The result is repeatable QA delivery, not one-off prompt magic.
GitHub, GitLab, Jira, Azure DevOps, Linear, TestRail, Qase, Trello, Confluence, Playwright, and Google Drive / Docs. New integrations land through MCP, so adding one is a config change, not a release.
About

Tessa AI is built by
QA Mentor.

Founded in 2010 and headquartered in New York, QA Mentor is one of the world's largest pure-play QA companies, 350+ certified engineers, 12 global locations, 476 clients across 28 countries. Tessa AI is the product team's effort to bottle 15 years of QA delivery practice into an AI teammate every team can use.

By the numbers
15+
Years in QA
350+
Certified QA pros
476
Clients
28
Countries served
12
Global locations
15k
Crowdsourced testers
Certified to the standards your security team asks about
CMMI Level 3ISO 27001:2013ISO 9001:2015ISO 20000-1
What QA Mentor does

A full QA stack, now augmented by Tessa AI.

QA Mentor delivers manual, automated, performance, security and mobile testing to Fortune 500 clients and startups alike. The same playbooks that power those engagements are baked into the workflows you run with Tessa AI.

  • Manual & exploratory testing
  • Test automation frameworks
  • Performance & load testing
  • Security & penetration testing
  • Mobile & cross-browser (300+ devices)
  • QA audit & process improvement
  • AI-enabled testing services
  • Crowdsourced testing across 123 countries
Visit qamentor.com
Headquartered in New York · Centers of Excellence in Ukraine and India

Ship QA work
at the speed of thought.

Connect your repos, your TMS, and your docs. Tessa AI figures out the rest, and asks before doing anything destructive.