Ex-KPMG audit head backs £10m round for AI audit firm

TL;DR:

  • Berlin-based Cortea has raised £10.3m (€12m) to expand into the UK, pitching AI as an answer to the audit profession’s skills shortage.
  • Backers include Dawn Capital and angel investor Larry Bradley, the former global head of audit at KPMG.
  • Cortea is launching “Audit Quality Agents” that review reports and financial statements before sign-off, positioning itself as a layer above models from Anthropic and OpenAI.

An AI audit challenger is using a fresh funding round to push into the UK, betting that mounting quality and capacity pressure on accountancy firms will drive demand for automated review. Cortea, founded in 2024 by Valentin Neumann and Philipp Hövelmann, raised £10.3m (€12m) led by Dawn Capital, with former KPMG global audit head Larry Bradley among the angels. The company previously raised £2.6m (€3.1m) from backers including Cherry Ventures and Google DeepMind.

Filling an audit capacity gap

Cortea’s first product, “Audit Quality Agents”, reviews audit reports, disclosure notes and financial statements before sign-off, flagging inconsistencies, missing information and errors that would otherwise reach Companies House. Co-founder Neumann argues AI is “the solution to the skilled labour shortage”, but that the binding constraint is quality and liability: “if auditors use AI, it needs to be correct — at least it needs to be traceable.” That traceability pitch is pointed. While the Big Four have cut graduate entry-level roles as AI reshapes the work, mid-tier and smaller firms face acute skills shortages and tighter review expectations.

Tellingly, Cortea positions itself as a layer above foundation models rather than a rival to them. Even firms using Anthropic, Neumann says, still face the liability and quality-assurance gap his agents are built to close.

Looking forward

The timing fits a UK audit market under Financial Reporting Council scrutiny after a run of high-profile failures — and freshly reminded of AI’s limits by a KPMG report found riddled with fabricated citations. Dawn Capital partner Dan Chaplin called it time to “change the operating model for audit delivery”. The investment thesis is that verification, not generation, is where the value sits: as AI floods audit workflows, the firms that can prove their outputs are traceable will hold the advantage. UK regulators watching the experiment will want evidence the agents reduce error rather than merely speeding sign-off.