Intropic

Intropic

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HQ location
London, United Kingdom
Launch date
Employees
Enterprise value
$98—147m
Company register number
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DateInvestorsAmountRound
-investor investor investor

€0.0

round
investor

€0.0

round
*
N/A

£18.6m

Early VC
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
USD2020202120222023
Revenues0000000000000000
% growth-475 %231 %102 %
EBITDA0000000000000000
Profit0000000000000000
EV0000000000000000
EV / revenue00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x
R&D budget0000000000000000

Source: Dealroom estimates

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More about Intropic
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Intropic operates as a data and software company specializing in providing research and development intelligence to the life sciences sector. Founded in 2017, the firm aims to assist life sciences organizations in navigating the complexities of their research and development landscapes. The company was established by a group of individuals with backgrounds in quantitative finance and technology, including Ben Mur-Leach and Alastair Andrew. Their expertise in applying data-centric approaches to complex financial markets is now being leveraged to map and understand biomedical data.

The core of Intropic's business is its proprietary platform that ingests, cleans, and structures vast amounts of unstructured biomedical data from a multitude of public and proprietary sources. This structured data allows clients, which include pharmaceutical companies and other life sciences organizations, to gain insights into emerging scientific developments, competitive intelligence, and investment opportunities within the R&D space. The business model appears to be centered on providing access to this curated data and its associated analytics tools, likely through a software-as-a-service (SaaS) or data-as-a-service (DaaS) subscription model.

Intropic's product provides a comprehensive view of the life sciences ecosystem by creating connections between various data points such as scientific papers, clinical trials, patents, and grants. This enables users to track research and development activities from their earliest stages, identifying trends and potential breakthroughs well before they become mainstream. A key benefit of the platform is its ability to reduce the time and resources that R&D and business development teams would otherwise spend on manual data gathering and analysis.

Keywords: life sciences, R&D intelligence, biomedical data, pharmaceutical analytics, drug discovery, data-as-a-service, competitive intelligence, clinical trials data, scientific research analysis, biotech insights

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