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DateInvestorsAmountRound
-investor

€0.0

round
investor

€0.0

round
investor

€0.0

round

$10.5m

Early VC
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
USD201820192020202120222023
Revenues000000000000000000000000
% growth-7 %31 %85 %10 %-
EBITDA000000000000000000000000
Profit000000000000000000000000
EV000000000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x00.0x
R&D budget000000000000000000000000

Source: Dealroom estimates

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More about Igentify
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Igentify is a digital health startup that operates in the rapidly growing field of genomics. The company has developed a secure digital platform that simplifies the entire genomic workflow. In simpler terms, it helps patients, laboratories, and healthcare providers to access, understand, and use genetic information more effectively.

The platform serves a diverse range of clients, including individual patients seeking to understand their genetic makeup, laboratories conducting genetic testing, and healthcare providers who need to interpret and apply genetic information in patient care.

Igentify operates in the global genomics market, which is expected to grow significantly due to increasing awareness about the potential of genetic information in disease prevention and personalized medicine.

The business model of Igentify is likely based on a software-as-a-service (SaaS) model, where clients pay a subscription fee to access the platform and use its features. This model provides a steady stream of recurring revenue for the company.

In terms of revenue generation, Igentify likely makes money through subscription fees from laboratories and healthcare providers. It may also generate revenue from individual patients who use the platform to access and interpret their genetic information.

In conclusion, Igentify is a promising startup in the genomics field, offering a digital platform that simplifies the use of genetic information for a wide range of clients.

Keywords: Genomics, Digital Health, Genetic Information, Patients, Laboratories, Healthcare Providers, SaaS, Subscription Model, Personalized Medicine, Disease Prevention.

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