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EmergeGen

USA, New Jersey
Market: Artificial Intelligence
Stage of the project: Operating business

Date of last change: 28.10.2024
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Idea

"Our solution automates the extraction of information from unstructured data with 99% precision in real-time, eliminating the need for human intervention and reducing costs by up to 90%."

Current Status

We have signed 3 clients with our tech consultant partner in Europe and 7 more in the queue. We are co-developing an app with Snowflake on their Native App platform where we will be their unstructured data solution. This will give us direct access to their 10,000 clients and 2,500 sales people. We already have Goldman Sachs, Liberty Mutual, BNP, etc, as the initial users.

Problem or Opportunity

According to Gartner 80% of an Enterprises data is unstructured and less than half of that can use tech to transform it into usable structured data. This requires firms to have thousands of people reading and extracting the relevant data from this data. Slow, expensive, and inaccurate.

Solution (product or service)

With an ensemble of AI techniques directed through proprietary transformers, a super ontology data structure, and a small language model, EmergeGen converts unstructured data to automate manual processes and gain insight that drives Enterprise ROI.

Business model

Most prospects seem to like the per doc charge of $10 but other like a $20k - $40k per month per use case charge with a variable charge for excess usage.
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