Curvestone AI, the workflow automation platform for the financial services, legal and insurance sectors, has raised £3 million in seed funding led by MTech Capital, with participation from Boost Capital Partners, D2 Fund, and Portfolio Ventures. The company solves what most AI tools fail to address in financial and professional services: making automation truly reliable.
While individual AI tasks might achieve 98%+ accuracy, in complex multi-step workflows this small error rate compounds - and by step 12, overall accuracy can fall to just 30–40%. Curvestone AI’s technology maintains consistent performance at every stage, making it the first truly dependable automation for document-heavy workflows common in regulated industries.
Before raising external funding, Curvestone reached profitability and grew revenue 7x in 12 months. The platform now processes billions of tokens quarterly across legal and financial services workflows.
Brothers Dawid and Sebastian Kotur founded the company after running AI automation programmes at PwC, Metro Bank, and GKN, and serving as Facebook Developer Circles London Leads for one of the largest AI communities. But when they realised GenAI would transform professional services, they shut down their consulting business to build Curvestone AI.
Curvestone AI works with law firms, mortgage networks, and wealth management firms, including Stephenson Harwood, Browne Jacobson, Walker Morris, and Pivotal Growth, the UK’s leading mortgage and protection advice provider, with insurance expansion underway.
Customer deployments demonstrate measurable impact, with Walker Morris cutting service agreement reviews by over 90%, reducing the process from four hours to just fifteen minutes. Stephenson Harwood has built a multistep compliance workflow to address requirements under DORA EU rules, while Pivotal Growth is rolling out automated compliance checking across its twenty specialist advice teams. This shift moves the company from manually spot-checking around 10% of mortgage applications to reviewing 100%, as Curvestone AI ingests mortgage case files directly from existing systems, validates data against supporting documents, checks dozens of critical requirements, and flags discrepancies instantly to enable complete compliance coverage with consistent, auditable results.
The platform works with all large language models and integrates directly with existing systems - CRMs, document management tools, loan origination software - without forcing teams to adopt new workflows. No-code configuration lets operations teams adapt processes as regulations evolve, without engineering support.
The funding will accelerate product development and go-to-market expansion, growing Curvestone AI’s library of proven workflows and positioning the company as the trusted automation layer for agentic AI in regulated sectors.
