TensorLeap

TensorLeap

A deep-learning analysis platform providing guided error analysis, unit testing, and dataset architecture, enabling data science teams to build high-performing models they can trust. Learn more

Launch date
Employees
Market cap
-
Enterprise valuation
CAD28—43m (Dealroom.co estimates Oct 2022.)
Company register number 516133089
Ramat Gan Tel Aviv District (HQ)

Financials

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Revenues, earnings & profits over time
USD2020202120222023
Revenues<1m<1m1.2m1.4m
% growth-17 %243 %13 %
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DateInvestorsAmountRound
*

$5.2m

Seed
Total FundingCAD7.1m

Recent News about TensorLeap

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TensorLeap.ai is a startup that operates in the field of artificial intelligence (AI), specifically focusing on deep learning. Deep learning is a type of AI that mimics the workings of the human brain in processing data for use in decision making. TensorLeap.ai has developed a unique platform that helps businesses debug and explain their deep learning models. This means it helps businesses understand how their AI models are interpreting data, identify and fix any issues, and ensure that the models are using the right features.

The company's platform is designed to serve businesses that use deep learning models, which could range from tech companies to financial institutions, healthcare providers, and more. The platform helps these businesses reduce the number of experiments they need to run, shorten their development cycles, and avoid failures when the models are put into use.

TensorLeap.ai's business model is likely based on a software-as-a-service (SaaS) model, where clients pay a subscription fee to access the platform. This model provides a steady stream of recurring revenue for the company.

In summary, TensorLeap.ai is a startup that provides a platform for businesses to better understand, debug, and explain their deep learning models. This helps businesses save time, reduce costs, and make their AI models more reliable and effective.

Keywords: Artificial Intelligence, Deep Learning, Debugging, Explainability, SaaS, Subscription Model, Tech Companies, Financial Institutions, Healthcare Providers, Data Interpretation.

Tech stack

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