Sagittal AI, a company adapting AI to humans, has raised 拢1.7m in pre-seed funding to transform software development with its solution Neo.
The London-based firm, which is building AI solutions that adapt to human workflows instead of forcing humans to adapt to AI, has seen its product Neo used across various developer teams at Telef贸nica and other telecoms and financial services firms in Europe.
The investment round was led by Twin Path Ventures, with participation from SineWave Ventures, Fuel Ventures, Blue Lake VC, and angel investor Husayn Kassai, founder of Onfido and Quench AI.
Sagittal’s solution operates across the entire development lifecycle and connects all tools teams already use.聽
It adapts to how teams already work rather than forcing them to change their established processes.
鈥淒espite millions invested in AI development tools, most companies can’t identify any measurable improvement in the metrics that actually matter,鈥� said Michael Smith, CEO and co-founder of Sagittal AI.聽
鈥淭hat’s because current solutions force developers to become shackled to the AI, manually copying requirements, searching for context and navigating between tools. But there’s also a deeper psychological barrier at play – teams are reluctant to delegate to AI due to perfectionism.聽
鈥淲e’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.聽
鈥淲ith 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.鈥�
One of Neo’s early pilot customers reported that tasks typically consuming 2-3 days were completed in under 15 minutes with Neo.聽
It automatically gathered context from requirements, documentation and existing code, then delivered a complete implementation including tests and documentation, all following the team’s established conventions.
聽John Spindler, partner at Twin Path Ventures, added: 鈥淭here鈥檚 a big gap between claimed AI productivity and measurable results.
鈥淲e 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.聽
鈥淭heir philosophy of adapting AI to human workflows rather than forcing the reverse represents the important shift enterprise software development has been waiting for to deliver real impact.鈥�