Funding

Sagittal AI Funding News –London-based Sagittal AI secures $2.2Mn In Pre-seed Round

Apr 8, 2025 | By Startuprise

Pre-seed capital of $2.2 million has been secured by London-based Sagittal AI in order to launch its main product, Neo. Twin Path Ventures led the investment, with Onfido and Quench AI founder Husayn Kassai, an angel investor, as well as SineWave Ventures, Fuel Ventures and Blue Lake VC participating.

Developers no longer need to copy and paste data across systems or adjust to new interfaces thanks to Sagittal AI's Neo, which fits into current team workflows to finish whole jobs. Neo, who Sagittal refers to as a "team member," assumes a substantial amount of the software development process without interfering with Agile procedures or calling on engineers to become "AI secretaries."

The tools support teams with responsibilities ranging from creating tickets to pulling requests and deployment, and they work across life cycles. The goal of this end-to-end support is to remove the bottlenecks that usually occur when developers have to handle a lot of context-switching and juggle various tools.

“The key difference is that Neo acts like a team member, not a tool," said José Palazon, CTO and Co-founder. "Neo drives actual change because it can both operate within your existing workflows and enable new patterns of delegation. When you assign a task to a colleague, you don't list every file they need to modify or copy-paste specifications from multiple systems—you rely on them to navigate your shared context. Neo works the same way, adapting to your team's processes rather than demanding humans learn new workflows to accommodate AI's limitations."

One of the most obstacles to AI adoption for enterprise teams has been the psychological barrier, or the hesitancy to entrust AI with important jobs because of quality concerns.

John Spindler, Partner at Twin Path Ventures, commented: "There's a big gap between claimed AI productivity and measurable results. We invested in Sagittal because they've recognized what others have missed or chosen to ignore: that psychological barriers and team dynamics, not technical issues, are preventing AI adoption at scale.

"Their 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."

The business intends to increase Neo's capacity to encompass the full lifecycle of product development. The platform will expand more quickly with this funding.

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