London-based Sagittal AI revolutionises software development through Neo, an AI-powered team member that completes entire tasks across development tools.
In a recent development, the company has picked up £2.2 million in pre-seed funding. The round was led by Twin Path Ventures and joined by SineWave Ventures, Fuel Ventures, Blue Lake VC, and angel investor Husayn Kassai, will help accelerate the launch and expansion of Neo.
The funding will support development across the full product lifecycle, making it easier for teams to assign increasingly complex and critical tasks to AI with confidence.
A fresh take on AI for software development
Unlike many solutions in the saturated AI coding space, Sagittal is not building autonomous agents that work in isolation. Instead, it is integrating AI directly into established team workflows. Sagittal’s approach flips the script by having AI adapt to the team’s way of working and not the other way around.
Neo, their flagship product, functions as a collaborative team member rather than a replacement for developers. Instead of introducing new UIs or requiring teams to manage yet another platform, Neo operates within the tools teams already use, such as Jira, GitHub or internal documentation systems.
Addresses the flaws of conventional AI coding tools
Sagittal’s founders bring decades of experience to the table. Michael Smith has over 25 years of leadership experience at companies like Google, SwiftKey, Qualcomm, Yahoo, and Amazon, where he specialized in launching complex multi-million dollar platforms. José Palazon is a cybersecurity expert who has spoken at DEF CON and Black Hat conferences and authored textbooks on secure programming used in Spanish universities. Their combined expertise uniquely positions them to tackle enterprise-scale integration challenges.
Tools like Cursor and Devin represent two ends of the AI development spectrum. While one focuses on speed within the IDE, the other on full-scale autonomous development. Both approaches, however, inadvertently force developers into an “AI secretary” role. These tools often demand constant oversight, context setup, and manual intervention, undermining the fluid, iterative nature of Agile development.
Sagittal’s founders realised that AI systems must preserve team dynamics rather than override them. Neo is their answer: an AI that fits into collaborative workflows and supports consistent team output without disrupting processes.
Neo: AI that completes entire tasks
Neo is designed to work across the entire software development lifecycle. Whether a task involves implementing a new feature, refactoring code, or writing tests and documentation, Neo can take a complete assignment from a project management tool, retrieve relevant context, and deliver a finished output.
Specific tasks include generating multi-file pull requests from tickets, addressing code review comments, adhering to coding styles based on documentation standards, performing code reviews, fixing CI/CD errors, writing unit tests, creating architecture diagrams, and automatically updating ticket statuses. Neo gathers all necessary information without requiring developers to manually provide context or intervene mid-process.
In one pilot, a Neo user reported that a task that typically took 2–3 days was completed in under 15 minutes. Neo gathered all necessary information, coded the solution, generated documentation, and included test coverage, all without requiring the developer to manually provide context or intervene mid-process.
Proven value in enterprise settings
It’s already proving its worth in real-world environments, particularly with enterprise clients. Telefónica and several European financial services companies have tested Neo across development teams. These pilots have shown that Neo can scale effectively, work with complex codebases, and deliver measurable productivity gains without disrupting compliance or development standards.
This ability to operate in highly regulated, collaborative environments gives Sagittal an edge in the growing but crowded AI developer tool space. By showing early success in enterprise environments, they’ve demonstrated that Neo can go beyond demo-friendly results and deliver real business value.
Competition: What makes Sagittal AI better?
Neo is not a code completion tool. Those, like Cursor, focus on making individual developers type faster, which isn’t what Neo focuses on. Its competitors include GitHub Copilot, Magic.dev, Factory and Sweep.dev, but they all introduce a copy-paste burden and don’t integrate across the entire development lifecycle.
Unlike competitors, Neo acts like a team member, not a tool. It operates across the entire development lifecycle, preserving proven collaboration methods while eliminating manual context-switching. Its key insight is that 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. Neo adapts to your team’s processes rather than demanding humans learn new workflows.
Future outlook
Sagittal AI is entering the AI software development space with a unique, team-focused approach. By designing Neo as a task-oriented AI that integrates with existing tools and workflows, they’re addressing the core usability issues that hinder adoption of AI in enterprises. Backed by fresh funding and guided by experienced founders, Sagittal is poised to reshape how software teams approach productivity, collaboration, and automation.
“Despite millions invested in AI development tools, most companies can’t identify any measurable improvement in the metrics that actually matter,” said Michael Smith, CEO and Co-founder of Sagittal AI. “That’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. 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.”
“The key difference is that Neo acts like a team member, not a tool,” said Jose 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.”
“There’s a big gap between claimed AI productivity and measurable results,” said John Spindler, Partner at Twin Path Ventures. “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. 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.”
