Financials

Estimates*

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Revenues, earnings & profits over time
USD2020202120222023
Revenues1.3m1.4m2.1m2.1m
% growth-11 %48 %-
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DateInvestorsAmountRound
-

N/A

-

€30.0k

Seed

$620k

Seed

€50.0k

Grant
N/A

€500k

Grant
N/A

$2.9m

Grant

$1.0m

Seed

€1.7m

Grant
N/A

€1.7m

Grant

$3.5m

Seed
*

$4.6m

Seed
Total FundingAUD26.3m

Recent News about Graphext

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More about Graphextinfo icon
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Graphext is a forward-thinking startup that specializes in data analytics. The company aims to revolutionize the way businesses understand and utilize their data by creating user-friendly, visually appealing products. These tools allow users to explore data freely and uncover valuable insights without needing extensive technical expertise.

Graphext primarily serves businesses that need to make sense of large amounts of data. This includes companies in various sectors such as finance, marketing, healthcare, and retail. Essentially, any organization that relies on data to make informed decisions can benefit from Graphext's offerings.

Operating in the data analytics market, Graphext stands out by making complex data analysis accessible to everyone. The company's business model is based on providing software as a service (SaaS). This means clients subscribe to use Graphext's tools, typically paying a recurring fee. This model ensures a steady stream of revenue and allows clients to access the latest features and updates without additional costs.

Graphext generates revenue through these subscription fees. By offering different pricing tiers, the company caters to a wide range of clients, from small businesses to large enterprises. This flexible pricing strategy helps attract a broad customer base and ensures that the services are accessible to organizations of all sizes.

In summary, Graphext is a dynamic player in the data analytics industry, offering intuitive and visually engaging tools that help businesses unlock the potential of their data. By focusing on accessibility and ease of use, Graphext enables companies to gain meaningful insights and make data-driven decisions.

Keywords: Data Analytics, User-Friendly, Insights, SaaS, Business Intelligence, Data Visualization, Subscription Model, Big Data, Market Insights, Data Exploration.

Tech stack

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Tech stackLearn more about the technologies and tools that this company uses.