SolveAI Raises $50M from GV and Accel for Enterprise AI Platform
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SolveAI Raises $50 Million from GV and Accel for Enterprise AI Platform

The London startup helps non-technical employees build production-ready apps using natural language.

2/25/2026
Othmane Taki
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London-based startup SolveAI has emerged from stealth with $50 million in funding to revolutionize enterprise software development. The company’s platform empowers employees without technical backgrounds to build production-ready applications using conversational AI. This approach aims to bridge the gap between business needs and the complex process of creating custom, compliant software solutions.


Bridging the Enterprise Software Gap

Large corporations often struggle to translate ideas into software due to overstretched IT teams and the high cost of consultants. New applications must integrate with legacy systems and adhere to strict governance and security standards. These complexities create significant barriers, slowing the pace of internal tool development and adaptation across the enterprise.

SolveAI addresses this by democratizing software creation, placing development power into the hands of employees who understand business problems best. Its platform uses natural language to transform user requests into full-stack, IT-compliant applications ready for deployment. This enables teams to build tailored tools without waiting in long project queues or requiring external engineering support.

A Context-Aware AI Platform

The platform's process begins by generating a detailed proposal and technical specification from a user's conversational input. This document outlines the solution and features, allowing teams to review and iterate before development commences. Once approved, SolveAI orchestrates specialized AI agents to handle the entire development lifecycle, from user experience to backend engineering.

A key differentiator for SolveAI is its use of forward-deployed engineers who work with clients to map their unique systems. This ensures the AI has the necessary context to generate software that is reliable and seamlessly integrated. This hybrid approach is crucial for moving beyond simple prototypes to create scalable, production-grade applications meeting enterprise standards.

Securing Significant Investor Confidence

The company's vision has attracted significant investor confidence, securing a $5 million pre-seed round led by Accel and a $45 million Series A led by GV. Founder and CEO Steve Basher, a former Palantir engineer, brings deep experience in navigating complex enterprise software environments. This strong financial backing highlights the market need for SolveAI’s specialized solution.

Investors believe SolveAI’s focus on enterprise context sets it apart from competitors in the AI coding space. While other tools generate code for consumers, SolveAI is designed to handle the final mile of enterprise deployment. This means creating bespoke software that is as secure and compliant as if built by the company's own engineers.

Future Growth and Expansion

With the new capital, SolveAI plans to accelerate platform development and deepen integrations with corporate IT systems like Salesforce and SAP. A primary focus will be expanding its forward-deployed engineering teams across North America and Europe. This expansion is critical to supporting a growing roster of global enterprise clients and ensuring successful implementation.

The London-based company also has ambitious growth plans, intending to quadruple its current 12-person team in 2026. This expansion will support its goal of forging new partnerships with major companies in manufacturing, retail, and financial services. By scaling its team and client base, SolveAI aims to solidify its position in the enterprise AI market.


SolveAI's successful launch and substantial funding signal a pivotal shift in enterprise software creation, moving power from centralized IT to business experts. By providing a platform that understands corporate context and ensures compliance, the company is poised to unlock significant innovation. Its approach could fundamentally change how large organizations solve their most pressing operational challenges with custom applications.