London-based startup Sagittal AI, which creates AI that autonomously completes software tasks, has raised $2.2 million in pre-seed funding led by Twin Path Ventures, with support from SineWave Ventures and Fuel Ventures, as Vestbee was told.
- Founded in 2023 by Michael Smith and José Palazon, Sagittal AI develops task-oriented AI solutions that integrate seamlessly into existing software development workflows.
- The firm's flagship product, Neo, operates across the entire development lifecycle, allowing teams to assign tasks through their existing project management tools.
- Neo eliminates manual context-switching, preserves proven collaboration methods, and autonomously completes tasks by pulling relevant information from documentation, code repositories, and team discussions.
- The firm reports that its flagship product, Neo, has enabled early adopters, including 17 teams at Telefónica, to achieve 50-100% productivity gains, turning tasks that typically took 2-3 days into just 15 minutes.
Details of the deal
- The investment round was led by Twin Path Ventures, a London-based VC that supports pre-seed tech startups, with participation from SineWave Ventures, an American early-stage venture capital firm, Fuel Ventures, a London-based VC, Blue Lake VC, and angel investor Husayn Kassai.
"There’s a big gap between claimed AI productivity and measurable results. We invested in Sagittal because they've recognised what others have missed or chosen to ignore: that psychological barriers and team dynamics, not technical issues, are preventing AI adoption at scale," claims John Spindler, Partner at Twin Path Ventures.
- Sagittal AI will use the funding to launch and develop Neo, expanding its capabilities across the product development lifecycle and enabling teams to delegate tasks to AI while maintaining collaboration.
"We've built Neo on a critical insight: when integrated throughout the development process, even AI that delivers 80% of the solution creates exponentially more value than perfect AI restricted to a single step. With Neo, you simply assign a task just as you would to any team member, and it delivers results that can be quickly refined rather than built from scratch," CEO and co-founder of Sagittal AI, Michael Smith, commented.
