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Duku AI

SaaS for automated exploratory product testing

Overview

Duku AI provides a SaaS platform for automated exploratory testing that checks if a web product truly works for users, not just whether code runs or unit tests pass. Users point Duku at a URL, and the system performs real-flow explorations to surface silent breaks such as broken dropdowns, failed state transitions, and forms that submit nothing. Unlike tests that focus on code or API responses, Duku demonstrates end-to-end product behavior and catches issues that affect user experience, regardless of whether the code comes from engineers, Copilot, or other LLMs. Engineering teams use it to detect revenue- and trust-impacting product failures before customers encounter them. The goal is to provide continuous, automated product exploration and failure detection to ensure websites behave correctly for real users.

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About Duku AI

Simplify's Rating
Why Duku AI is rated
C-
Rated C on Competitive Edge
Rated C on Growth Potential
Rated D+ on Differentiation

Industries

Data & AnalyticsEnterprise SoftwareAI & Machine Learning

Company Size

11-50

Company Stage

Seed

Total Funding

$160K

Headquarters

London, United Kingdom

Founded

2025

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Simplify's take

What believers are saying

  • Duku shipped seven major releases in June and July 2026, signaling rapid iteration.
  • Docs show 146K autonomous runs and 3K product surfaces by July 2026.
  • October 2026 releases added versioning, merge gating, and live issue prioritization.

What critics are saying

  • Duku raised only £120,000 in August 2025, leaving thin runway for expansion.
  • Built In counted 14 employees in May 2026, constraining enterprise sales and support.
  • If Duku misses reliability parity, Pendo, BrowserStack, or Playwright-based rivals absorb demand.

What makes Duku AI unique

  • Duku’s October 2026 visual-issue detection catches UI failures unit tests never see.
  • GitHub Action gating on August 19, 2026 embeds product proof inside developer workflows.
  • Agentic inputs and state detection deepen coverage across complex forms and modal flows.

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Funding

Total Funding

$160k

Below

Industry Average

Funded Over

1 Rounds

Seed funding is usually the first official round after pre-seed, when a startup has a prototype or concept. It’s typically used to develop the product, test the market, and start building the team. Investors here are often angel investors or early-stage venture capitalists.
Seed Funding Comparison
Below Average

Industry standards

$3.3M
$160k
$1.5M
$2M
$2.3M
$3M

Growth & Insights

6 month growth

0%

1 year growth

0%

2 year growth

0%

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