Curvestone AI raises USD $4 million to automate regulated workflows
Curvestone AI, a London-based workflow automation company for regulated industries, has secured USD $4 million in seed funding led by MTech Capital. The backing also includes participation from Boost Capital Partners, D2 Fund, and Portfolio Ventures. The company focuses on resolving the issue of compounded errors that hinder the adoption of artificial intelligence across finance, legal, and insurance sectors.
Industry challenge
Automation of complex workflows in regulated industries requires consistent, high-level accuracy. Traditional AI solutions perform well on individual tasks but experience a substantial drop in reliability when chained together in lengthy processes. For example, if each step of a multi-stage process maintains a 98% accuracy, overall precision can fall to between 30% and 40% by the twelfth stage. Curvestone AI's technology aims to address this problem by sustaining reliable performance throughout multi-step professional processes.
Track record
Prior to raising external capital, Curvestone AI reported achieving profitability and a sevenfold increase in revenue within 12 months. The company's platform processes billions of tokens each quarter across legal and financial services clients. Curvestone was founded by brothers Dawid and Sebastian Kotur, who previously managed AI initiatives at companies including PwC, Metro Bank, and GKN, and were involved in the Facebook Developer Circles London AI community.
Client deployments
Curvestone AI's system is deployed by a range of legal and financial clients. Law firm Walker Morris reported a reduction of more than 90% in service agreement review times, from four hours down to 15 minutes. Stephenson Harwood used Curvestone to build a multi-step compliance workflow addressing DORA EU rules. Mortgage advice firm Pivotal Growth shifted from manual spot-checks of approximately 10% of its mortgage applications to automated review of 100% of cases. The platform validates mortgage case files against supporting documents, checks a range of crucial requirements, and flags concerns for human review, ensuring outcomes are consistent and auditable.
Technology focus
The company's automation tools are designed to work with all large language models and integrate directly with existing business systems, such as customer relationship management platforms, document management tools, and loan origination systems. With no-code configuration, operations teams can adjust processes as regulations change, without the need for software engineering support. The company is also in the process of expanding into insurance sector applications.
Investor viewpoint
"We have recently seen a lot of AI startups focused on automating 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," said Kevin McLoughlin, Partner, MTech Capital. "While many AI startups are burning a lot of capital, we were impressed by the fact the founders bootstrapped to profitability before taking any outside funding. 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."
Sector ambition
The new investment will go towards accelerating product development and expanding Curvestone AI's range of supported workflows. The company's platform is positioned as an automation layer for agent-based AI systems in regulated industries.
"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, Curvestone AI.
