Tasq.ai

Tasq.ai

A computer software company in the AI field. Learn more

Launch date
Employees
Market cap
-
Enterprise valuation
€15—22m (Dealroom.co estimates Sep 2021.)
Tel Aviv-Yafo Tel Aviv District (HQ)

Financials

Estimates*

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Revenues, earnings & profits over time
USD202120222023
Revenues1.4m2.2m2.2m
% growth-55 %-
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DateInvestorsAmountRound
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N/A

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N/A

Seed

$4.0m

Seed

N/A

Seed
Total Funding€3.6m

Recent News about Tasq.ai

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More about Tasq.aiinfo icon
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Tasq.ai is a startup that operates in the artificial intelligence (AI) sector, specifically in the area of data annotation. The company provides a robust platform that uses AI-assisted tools to help Data Science and Machine Learning (ML) teams annotate their data. Data annotation is the process of labeling data, which is a crucial step in training AI and ML models.

Tasq.ai's platform offers complete transparency and full control over the data at all stages, allowing clients to manage the quality, scale, and cost parameters of their projects. This makes the platform particularly attractive to businesses that rely heavily on AI and ML, such as tech companies, research institutions, and corporations with large data sets.

The startup's unique selling proposition lies in its ability to provide high-quality data annotation at a rapid speed and ultra scale. This is achieved through its innovative micro-tasking workflow approach, which allows for the setup of a fully functional and highly customized tagging pipeline with minimal setup time.

Tasq.ai's business model is likely based on a service or subscription fee, where clients pay for access to the platform and its features. The company's revenue is generated from these fees, making it a scalable business model as the demand for AI and ML continues to grow.

In terms of market, Tasq.ai operates in the rapidly expanding AI industry. With the increasing reliance on AI and ML in various sectors, the demand for high-quality data annotation services is expected to rise, positioning Tasq.ai favorably in the market.

Keywords: Artificial Intelligence, Data Annotation, Machine Learning, Data Science, Transparency, Control, Quality, Scale, Cost, Micro-tasking.

Tech stack

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