TestSprite, an AI-driven autonomous testing platform for next-generation software development, announced it has raised $6.7 million in seed funding, bringing total funding to $8.1 million. Trilogy Equity Partners led the round with participation from Techstars, Jinqiu Capital, MiraclePlus, Hat-trick Capital, Baidu Ventures, and EdgeCase Capital Partners.
The oversubscribed round comes as TestSprite experiences explosive growth, with a 483% increase in users in the last quarter and over 35,000 developers now using its platform following the launch of TestSprite 2.0 and its MCP server.
As AI coding assistants like Cursor, Windsurf, and GitHub Copilot accelerate development speed, software teams are now facing a new challenge: testing and validating AI-generated code at the same pace. TestSprite aims to fill that critical gap by enabling agentic testing, where its autonomous AI system writes, executes, and repairs code tests automatically—making testing as fast and adaptive as AI development itself.
Gartner projects that by 2028, 90% of enterprise developers will rely on AI-assisted coding tools, up from less than 14% in early 2024. This shift represents a massive opportunity for testing innovation, with an estimated total addressable market exceeding $30–50 billion. As AI-generated code becomes standard, the ability to automatically verify and validate outputs will define the next phase of trustworthy, scalable software development.
TestSprite integrates directly with developer IDEs and through MCP (Model Context Protocol), enabling continuous, test-driven development without context switching. The platform automatically generates, runs, and diagnoses both frontend and backend tests, providing potential fixes through natural language prompts. This integrated workflow dramatically reduces debugging cycles—allowing teams to ship multiple releases weekly instead of monthly.
The company plans to use the new funding to expand its engineering team, deepen R&D in test generation, AI-powered test healing, and intelligent monitoring, and scale infrastructure to support large enterprise workloads. By mid-2026, TestSprite aims to establish itself as the standard testing layer for AI-native software development across the global developer ecosystem.
KEY QUOTES:
“We’re witnessing a fundamental shift in software development. While everyone focuses on AI writing code faster, the real constraint is validation. TestSprite is the first to solve testing at the speed of AI, and the rapid growth quarter-over-quarter proves developers are desperate for this solution.”
Yuval Neeman, Managing Director, Trilogy Equity Partners
“Writing code is no longer the hard part—the real challenge is ensuring it behaves exactly as intended. AI coding tools like Cursor have made development 10x faster, but they’ve also created a new risk bottleneck: testing and validation can’t keep up. TestSprite is the autopilot layer that turns AI-written code into production-ready software without the manual testing overhead that’s slowing teams down.”
Yunhao Jiao, Chief Executive Officer and Co-founder, TestSprite
“As AI gets better at generating code, ensuring that code works as intended becomes even more important. Reliable evaluation pipelines are critical for scaling trustworthy AI systems.”
Andrew Ng, Co-founder of Google Brain and Founder of DeepLearning.AI
