SolveAI announces $50M to bring compliant AI coding to enterprises
What's the deal? London-based SolveAI is announcing $50M in funding, eight months after it was founded in July 2025 by former Palantir engineer Steve BasherDealroom has a profile for this one. Try Dealroom →. The total comprises a $5M pre-seed led by Accel in August 2025 and a $45M Series A led by GV in November.
Other backers include Northzone, Mantis VCDealroom has a profile for this one. Try Dealroom → and NeverLiftDealroom has a profile for this one. Try Dealroom →, alongside angel investors such as Palantir CISO Mike LoSapioDealroom has a profile for this one. Try Dealroom →, Google DeepMind’s Pushmeet KohliDealroom has a profile for this one. Try Dealroom → and OpenAI’s Olivier GodementDealroom has a profile for this one. Try Dealroom →. The startup has 12 employees and plans to expand its team this year.
SolveAI says its platform allows employees to build compliant, production-ready enterprise software through natural language, without writing code. It integrates with systems such as SAP, Salesforce, Github, Snowflake and ServiceNow, and is designed to deploy within existing infrastructure.
Basher’s thesis is that AI coding tools are only useful if they reflect a company’s specific context. “AI’s somewhat useless without context,” he said. “Context is everything.”
The platform first generates a written proposal and technical specification, then orchestrates specialised AI agents to build front end and back end components. The goal is software that meets internal security and governance standards from the outset.
Why now? AI coding tools are attracting heavy investment, with companies such as Cursor, valued at $29.3B, and Lovable, valued at $6.6B, racing to capture market share. Most tools target developers or small teams rather than complex enterprises.
Large organisations are under pressure to show returns on AI spending while maintaining compliance and working with legacy systems. That has created demand for tools that promise faster development without bypassing internal controls.
SolveAI says companies in manufacturing, retail and financial services are already exploring its platform. Investors are betting that enterprises want bespoke software built by employees closest to operational problems.
What could go wrong? The market is crowded and well funded. Larger rivals could expand into enterprise compliance, increasing competition.
There is also execution risk. Building software that truly reflects internal standards, edge cases and regulatory requirements is complex, and errors could expose customers to operational or legal risk.
Cultural resistance may pose another hurdle. IT departments could be wary of non-technical staff generating deployable applications, even with guardrails in place.
The signal: SolveAI’s $50M raise highlights continued venture appetite for AI infrastructure focused on enterprise use cases. Investors are backing teams with deep technical pedigrees and a compliance-first approach.
The broader shift is from AI prototypes to production systems inside large organisations. Startups that bridge the gap between natural-language coding and secure, audited deployment could tap into a significant new layer of enterprise software spending.
J.V.
