TestSprite Gets $6.7 Million Seed Round Financing

TestSprite, a provider of agentic testing tool for AI-native development, has announced the close of a $6.7 million financing seed round, bringing total funds raised to approximately $8.1 million. Trilogy Equity Partners led the round, with participation from both new and existing investors, including Techstars, Jinqiu Capital, MiraclePlus, Hat-trick Capital, Baidu Ventures, and EdgeCase Capital Partners.

TestSprite is scaling to meet surging demand, growing 6X over the last three months, reaching over 35,000 users, following the launch of TestSprite 2.0 and its MCP server. The funding comes at a pivotal time, as the rise of AI-powered coding tools like Cursor, Windsurf, and GitHub Copilot accelerates development speed but creates a critical new bottleneck: testing and validating AI-generated code at scale. The oversubscribed round further cements TestSprite’s position as the testing backbone of the AI-native software development era.

TestSprite’s autonomous agent works directly inside AI IDEs and through MCP integration, enabling test-driven development throughout the coding process, not as a separate phase after code is written. TestSprite integrates natively into developers’ workflows, allowing developers to test without context switching to browsers or separate testing platforms. Developers validate and refine code iteratively as they build, producing production-ready software at completion without leaving their development environment.

TestSprite’s AI claims to automatically generate frontend and backend tests, executes them, diagnoses failures, and proposes potential fixes through simple natural language commands. By enabling agentic testing where TestSprite’s AI agent writes, runs, and updates tests autonomously, it acts as an autopilot for software testing, dramatically accelerating developer velocity while maintaining quality.

TestSprite plans to channel funds toward expanding its engineering team to deepen capabilities in test generation, AI-powered test healing, and intelligent monitoring, while scaling infrastructure to support teams deploying thousands of code changes daily.