Model ML’s AI platform hits £748m valuation as consultants rush to automate junior work

London‑based Model ML’s AI tool is reshaping junior consulting tasks, but firms still wrestle with proving a return on their multi‑million‑pound spend.

The short version

Model ML’s AI platform now values at £748 million after raising more than $100 million. Consultants are using it to automate junior‑level research, presentation and Excel work, but firms still question the return on their multi‑million‑pound spend.

What happened

Model ML, a London‑based AI start‑up, has built a platform that automates manual consulting steps such as research, slide decks and Excel model creation, tasks that were traditionally done by junior staff.

In a case study with accounting firm BDO, teams asked over 10,000 questions, analysed more than 25,000 documents and generated over 14,000 AI review comments in the first eight weeks.

The company crossed the $1 billion (£748 million) valuation mark and has raised more than $100 million in its first 18 months.

Consultancy giants Deloitte, KPMG, EY and PwC together have pledged several million pounds to AI tools like Model ML’s.

£748m

Company valuation

10,000

Questions asked in BDO pilot

25,000

Documents analysed in BDO pilot

14,000

AI review comments generated

Source: as reported by cityam.com.

The background

Consultancy firms have been spending heavily on frontier AI tools to reshape tasks that were once done by graduate‑level staff.

Because the sector faces high reputational risk when client work is delivered, the focus shifts to rigorous double‑checking and insight creation while using AI outputs.

Model ML was founded by brothers Chaz and Arnie Englander after starting in finance and now works with PwC, Deloitte and BDO.

What it means for owners and operators

Owners must weigh the high upfront cost against uncertain ROI; the tool works only if it delivers and the firm reorganises around it.

Operators need to manage change, train staff, reward AI use and track performance, to turn capability into adoption.

Executives should monitor the platform’s impact on junior staffing levels and consider whether AI can free senior staff for higher‑value work.

Founders in professional services can view Model ML as a partner rather than a vendor, because the platform embeds itself in client teams to understand the whole business.

The numbers