London-based Curvestone AI has raised $4 million in seed funding led by MTech Capital, with participation from Boost Capital Partners, D2 Fund, and Portfolio Ventures. The company addresses a key challenge that most AI tools fail to solve in financial and professional services: making automation reliably accurate at scale.
While individual AI tasks may achieve accuracy levels above 98 per cent, in complex multi-step workflows this small error rate can compound, with overall accuracy dropping to around 30–40 per cent by the twelfth step.
Curvestone AI’s technology is designed to maintain stable performance at each stage, delivering dependable automation for document-intensive workflows commonly found in regulated industries.
The platform is compatible with all major large language models and integrates with existing systems, such as CRMs, document management tools, and loan origination software, without requiring changes to current workflows. Its no-code configuration enables operations teams to adapt processes as regulations evolve, without needing engineering support.
Curvestone AI works with organisations across law, mortgage services, and wealth management, including Stephenson Harwood, Browne Jacobson, Walker Morris, and Pivotal Growth, and is now expanding into the insurance sector.
According to Dawid Kotur, co-founder and CEO of Curvestone AI, regulated industries have long struggled to balance quality with the ability to scale:
You can review everything and go broke, or cut corners and hope for the best. AI that actually works changes that equation by handling routine validation at scale while humans focus on the complex cases that need expert judgment.
With the new funding, Curvestone AI plans to accelerate product development and broaden its go-to-market efforts, expanding its library of validated workflows and strengthening its position as a reliable automation layer for agentic AI in regulated industries.
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