Funding · Enterprise Software & IT

DevAssure raises seed funding for AI testing platform

By Startup Enthusiast · 14 March 2026

What they do

DevAssure offers an AI-based platform that observes user workflows and validates UI, APIs, and integrations

The startup secured initial funding of an undisclosed amount to expand its engineering team and AI capabilities

Its Invisible Agent adapts tests automatically by focusing on real application behaviour, not DOM structure

DevAssure is an AI-based software testing startup co-founded by Divya Manohar, Santhosh, and Badri.
The company has secured initial funding, though the amount has not been disclosed.
The funding will be used to expand the engineering team, strengthen AI capabilities, and invest in developer-focused distribution.
DevAssure's product, Invisible Agent, continuously observes applications and validates workflows without requiring large automation suites.
The platform focuses on user workflows and real application behaviour rather than DOM structure, so tests adapt automatically.
One customer reported that automating 10 test cases previously took about one week, but now takes about five minutes.
In some organisations, roughly half of test failures were flaky scripts rather than real bugs.

The funding signals growing investor interest in AI-driven software testing tools that reduce manual effort.
DevAssure's approach addresses the common problem of flaky tests, which waste developer time.
The startup's focus on user workflows rather than DOM structure differentiates it from traditional automation tools.

DevAssure provides an AI-based software testing platform that observes user workflows and validates UI, APIs, and integrations.
Its product, Invisible Agent, continuously monitors applications and validates workflows without needing large automation suites.
The platform adapts tests automatically by focusing on real application behaviour instead of DOM structure.
One customer reduced the time to automate 10 test cases from about one week to about five minutes.
In some organisations, roughly half of test failures were flaky scripts, not real bugs.

Product: Multi-agent AI platform that generates, maintains and executes comprehensive test suites from design and code
Customers: Software development teams and enterprises requiring quality assurance automation
How it makes money: SaaS platform enabling autonomous test generation and orchestration integrated with development workflows
What sets it apart: Self-healing tests that evolve with product changes without hand-coded scripts or heavyweight frameworks
Operations: Integrates with Figma, VSCode, and CI/CD pipelines for developer workflows