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§ Private Profile · London, UK
Sagittal AI is a technology company.
Sagittal AI develops Neo, a Software Development Lifecycle (SDLC) AI enforcing security, compliance, and quality throughout software creation. Neo integrates into existing team tools, automating standards from project management to deployment. Its comprehensive platform uses contextual awareness to boost speed and reliability, orchestrating the full SDLC beyond code-only automation.
Michael Smith and José Palazon co-founded Sagittal AI in 2023, seeing fragmented AI fail to integrate security and compliance in enterprise development. Their insight led to an AI adapting to human processes, embedding standards into existing workflows for enhanced outcomes.
Sagittal AI serves enterprises with demanding security and compliance needs, collaborating with NIST and major partners. Their vision empowers organizations to accelerate software delivery while rigorously upholding quality standards. They aim to deliver efficiency and integrity in enterprise development, ensuring regulatory compliance.
Sagittal AI has raised $2.0M across 1 funding round.
Sagittal AI has raised $2.0M in total across 1 funding round.
Sagittal AI has raised $2.0M across 1 funding round. Most recently, it raised $2.0M Seed in April 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Apr 1, 2025 | $2M Seed | Twin Path Ventures | 2XN, Charlie Songhurst, TOM Mcinerney | Announced |
Sagittal AI has raised $2.0M in total across 1 funding round.
Sagittal AI's investors include Twin Path Ventures, 2xN, Charlie Songhurst, Tom McInerney.
Sagittal AI is a London-based technology startup founded in 2023 that builds Neo, an AI-powered "team member" designed to autonomously complete software development tasks by integrating seamlessly into existing workflows like Agile project management tools.[1][2][3] Neo serves software engineering teams at enterprises such as Telefónica, solving the problem of context-switching, manual data copying, and psychological barriers to AI adoption by pulling context from documentation, code repositories, and discussions to deliver full implementations—including code, tests, documentation, diagrams, and reviews—that teams can refine collaboratively.[1][4][5] Early adopters, including 17 teams at Telefónica, report 50-100% productivity gains, reducing 2-3 day tasks to 15 minutes, with the company raising $2.2M (€1.9M) in pre-seed funding in April 2025 to expand Neo across the full development lifecycle.[1][2][4]
Sagittal AI was co-founded in 2023 by Michael Smith (CEO) and José Palazon, both with prior experience at tech giants including Google, SwiftKey, Telefónica, and Yahoo.[1][3] The idea emerged from recognizing that despite heavy investments in AI dev tools, teams saw no measurable productivity gains due to developers being "shackled" to AI—manually feeding context and navigating tools—compounded by perfectionism and reluctance to delegate tasks.[1][4] A pivotal early validation came from Telefónica's Innovation Division, where over 300 engineers adopted Neo, achieving rapid productivity boosts and turning it into a key reference for human-aligned AI in software development.[5]
Sagittal AI rides the AI agent wave in dev tools, shifting from isolated code assistants (e.g., GitHub Copilot) to autonomous, team-integrated agents amid exploding demand for 10x developer productivity amid talent shortages.[1][4] Timing is ideal post-2025 AI hype maturation, as enterprises demand ROI-proven tools that respect human workflows—market forces like rising software complexity and AI adoption fatigue favor "human-aligned" solutions over disruptive ones.[3][4] By influencing ecosystem norms toward collaborative AI (e.g., Telefónica's scale), Sagittal accelerates broader shifts, potentially redefining Agile with AI as standard team members.[1][5]
Sagittal AI's focus on workflow-native AI positions it to capture enterprise dev teams seeking real gains, with funding fueling Neo's expansion to full lifecycle mastery and multi-language support. Trends like multi-agent systems and verifiable AI outputs will amplify its edge, evolving it from task completer to indispensable orchestrator. As adoption scales beyond Telefónica, expect partnerships with major platforms and Series A traction, cementing its role in making software teams "unstoppable" amid AI's dev revolution.[1][2][5]