Many AI tools today can perform individual tasks with high accuracy, often surpassing 98%. However, in complex multi-step workflows common in financial services, legal, and insurance sectors, small errors accumulate, causing overall accuracy to drop to 30–40% by the final step. This “compound error” issue prevents companies from adopting AI at scale due to unreliable results.
Curvestone AI, a London-based startup, addresses this critical problem by providing a workflow automation platform that maintains consistent accuracy throughout entire document-heavy and compliance workflows.
The company just secured $4 million in seed funding led by MTech Capital, with participation from Boost Capital Partners, D2 Fund, and Portfolio Ventures, to accelerate product development and expand go-to-market efforts, growing its library of proven workflows.
Before raising external funding, Curvestone AI reached profitability and grew revenue 7x in 12 months. The platform now processes billions of tokens quarterly across legal and financial services workflows.
Fixing AI’s reliability problem
Curvestone was founded by brothers Dawid and Sebastian Kotur, who previously led AI automation programs at PwC, Metro Bank, and GKN, and were involved in Facebook Developer Circles London. Recognising the potential of generative AI in professional services, they decided to pivot from consulting to building a solution that fundamentally improves AI reliability in regulated industries.
Curvestone AI’s technology integrates with all major language models and existing systems such as CRMs, document management software, and loan origination platforms. Its no-code workflow configuration empowers teams to adapt processes easily as regulations evolve.
“In regulated industries, quality and scale have always been at odds. 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 judgement,” said Dawid Kotur, Co-Founder and CEO of Curvestone AI.
Unlike many AI solutions that see accuracy fall off steeply in multi-stage processes, Curvestone’s platform ensures stable, high accuracy at every workflow stage. This makes Curvestone the first truly dependable AI automation solution tailored to the nuanced requirements of financial services, legal, and insurance compliance workflows.
Direct competitors include AI startups focused on workflow automation; however, Curvestone differentiates itself by solving the “compound error problem” with actual proof of consistent performance in regulated sectors.
What’s next?
Curvestone AI plans to accelerate product development and expand its library of proven workflows.
“Curvestone is solving the hard technical problem of automating complex workflows while achieving high accuracy, and accuracy is paramount in regulated industries like financial services. Their solution works across financial services, legal, and insurance, particularly for compliance workflows that desperately need automation. The early traction they’re seeing validates real market demand,” said Kevin McLoughlin, Partner at MTech Capital, who is joining Curvestone AI’s board.
