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LEVERTON

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AI-powered data extraction and contract analytics platform

London, United KingdomFounded 2012Legal
Valuation $50–100M Last recorded · 2017
Headcount <100 Current team size
Total funding $10–50M Disclosed equity funding
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About LEVERTON

LEVERTON is a company that developed an AI-driven platform for data extraction and contract analytics, which is now known as MRI Contract Intelligence. Founded in 2012 by a group of scientists including Emilio Matthaei, Florian Kuhlmann, and Reinhard Edelmann, the company's initial goal was to use artificial intelligence to extract legally binding information from corporate documents. The platform was developed to turn unstructured content into structured data using proprietary machine learning algorithms, optical character recognition (OCR), and natural language processing.

The company's primary market is real estate, serving property owners, service providers, and corporate occupiers. Its software is designed to automate the management of documents, with a particular focus on lease abstraction. The technology can extract thousands of data points from documents in up to 25 languages, helping clients comply with global accounting standards like IFRS 16 and ASC 842. By automating data extraction from leases and other legal documents, the platform allows businesses to more efficiently manage revenue and expense streams across their property portfolios. Clients have included JLL, Savills, and Zurich Alternative Asset Management.

In July 2019, LEVERTON was acquired by MRI Software, a global provider of real estate software solutions. Following the acquisition, LEVERTON became a business unit within MRI and was rebranded as MRI Contract Intelligence. The acquisition integrated LEVERTON's AI capabilities into MRI's software suite, aiming to provide enhanced data analytics and business insights to a broader client base. At the time of the acquisition, Abhinav Somani was the CEO of LEVERTON.

Source: Dealroom company data

At a glance

Status
Acquired
Founded
2012
Headquarters
London, United Kingdom
Employees
26
Open positions
None listed
Dealroom signal
29.0/100
Industry
Legal, Real Estate
Sub-industry
Legal Documents Management
Sector
Legal, Document Management, Ediscovery, Lawtech, Contract Management Software, Legal Tech, Hard Tech
Technology
Artificial Intelligence, Deep Tech, Machine Learning
Business model
SaaS
Client focus
b2b

Funding history

3 recorded events

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
ACQUISITION✓Exit Jul 2019 $0 — MRI Software —
SERIES A✓Equity / VC Jul 2017 $11M $44M DAH Beteiligungs GmbH · Anyon —
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Growth signals

LEVERTON website traffic

Latest recorded traffic for LEVERTON is 10 monthly website visits, down 98.1% over the last three months. LEVERTON's team grew 0% over the past year.

Latest monthly visits10 3-month web change-98.1% 1-year team growth0%
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Similar companies

Closest operating peers by Dealroom taxonomy

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Investments and acquisitions

Capital deployed

Recent portfolio relationships for companies that also act as investors or acquirers.

Investors

3 investors on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Series A2 investors entered at this stage

  • DAH Beteiligungs GmbH
  • Anyon

Other known investors1 additional known investor

  • MRI Software
Team profiled 13 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 3 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
🇬🇧 United Kingdom · London HQ
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Market sentiment

Posts on X, past 7 days

An AI-synthesised read of the highest-engagement posts about LEVERTON on X, ranked by likes and reposts, corporate channels excluded.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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