Curvestone AI closes a $4M round to enhance AI reliability for regulated industries

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.