SolveAI emerges from stealth with $50M to help enterprises build it-compliant software without coding. Daniel Levi Posted On February 25, 2026 SolveAI, a London-based AI startup founded by former Palantir engineer Steve Basher, is stepping out of stealth with $50 million in fresh funding and an ambitious pitch: give everyday enterprise employees the ability to build production-ready software simply by talking to AI. The funding includes a $45 million Series A led by GV, as well as a previously undisclosed $5 million pre-seed round led by Accel. Northzone, Mantis VC, and NeverLift joined the round, alongside several angel investors with deep security and AI backgrounds. The company plans to use the capital to grow its team, deepen enterprise partnerships, and extend the platform's capabilities. Basher started SolveAI in July 2025 after spending eight years at Palantir, where he saw how difficult it was for large organizations to translate internal problems into working software. Many companies already experiment with AI coding tools, though most of those tools still produce apps that stall at the prototype stage once they collide with enterprise security, governance, and infrastructure requirements. SolveAI's pitch centers on that gap. The company says its platform allows employees across departments to generate proposals, technical specifications, and fully functional applications using natural language. The system is built to integrate with existing enterprise environments and comply with internal controls from the start. "Magic happens when companies get the exact technology they need," said Steve Basher, CEO and founder of SolveAI. "Enterprises are desperate to capitalize on the AI coding revolution, but nobody has built a product that reflects their reality - complex systems, strict standards, and global scale. SolveAI puts the power to build software directly in the hands of the people closest to the problems, without compromising security or compliance. Think about all the things you could achieve if your IT team could be everywhere at once: SolveAI makes this a reality." Enterprises want ai-built software that actually works. London AI startup SolveAI just raised $50M to deliver it. At the center of the platform is a forward-deployed engineering model, a concept popularized at Palantir. SolveAI's engineers map an organization's architecture, systems of record, and internal processes. That context serves as the foundation for the company's AI agents to generate software that passes internal reviews. The workflow begins with the platform producing a written proposal that explains the approach and planned features. It then generates a technical specification covering data integrations and system requirements. Teams can review and iterate before the system orchestrates specialized AI agents responsible for UX, frontend, backend, and other stages of development. SolveAI says the finished application can be delivered in minutes. The startup is entering a crowded field of AI coding tools, most of which focus on developers or small teams operating outside large corporate environments. Enterprise buyers face a different reality. Internal apps must connect to legacy systems, run on approved infrastructure, comply with regulatory requirements, and remain maintainable over time. That friction has kept many non-technical employees locked out of the current wave of AI-assisted software creation. Tom Hulme, Managing Partner and Head of Europe at GV, framed the opportunity this way: "Most AI coding tools force enterprises to choose between speed and security. SolveAI doesn't. Steve and the team are building something genuinely different. They will unlock the ability for companies to move fast with AI while working within the constraints that matter: real security, real compliance, real infrastructure. We're excited to back them as they put software-building capability directly in the hands of people closest to the problems." Early interest is coming from companies in manufacturing, retail, and financial services, sectors where internal tooling often becomes a bottleneck. SolveAI says its platform integrates with major enterprise systems, including SAP, Salesforce, GitHub, Snowflake, and ServiceNow, covering the full software lifecycle from planning through maintenance. The company remains young. SolveAI is about seven months old and has grown to 12 employees, many with backgrounds at Palantir, ElevenLabs, and Meta. The team operates out of Chancery Lane in London and plans to quadruple headcount through 2026. Accel investor Cecilia Wang sees the shift as structural. "The future of enterprise software won't be written by developers alone, but also by the employees who use it every day. These teams need a compliant way to bring AI into their workflow, and SolveAI is making this a reality by prioritizing governance and security within complex legacy systems. With decades of combined 'forward deployed' experience, Steve and the SolveAI team are building a world where custom software and high-touch engineering capability can be scaled, and enterprises see real value from internal AI projects. We're looking forward to continuing our partnership with them on the journey ahead." The bigger question is execution. Many AI coding platforms promise to collapse software development into simple prompts. Enterprise environments have a long history of breaking those promises once real-world constraints surface. SolveAI is betting that deep organizational context, paired with its forward-deployed model, can clear that hurdle. If the company proves it can consistently ship compliant software inside large enterprises, it could open a much larger market than today's developer-focused AI tools have reached. For now, SolveAI is positioning itself at the intersection of AI agents, no-code ambitions, and the slow-moving machinery of enterprise IT - an area where demand is clear, and the bar for delivery remains high.

SolveAI enables employees to build enterprise-grade, IT-compliant full-stack applications in minutes using natural language, with secure integration into existing enterprise infrastructure and systems of record.