NLP

Exovera Enhances exoINSIGHT with Advanced Data Exploration, Collection

Augmented intelligence capabilities to be showcased at SOF Week 2024

Exovera, a leading technology and open-source data provider, announced today it will unveil advanced updates to its AI-enabled analytical platform, exoINSIGHT, at Special Operations Forces (SOF) Week 2024. New capabilities will arm government and commercial users with a larger volume of curated data holdings from key geopolitical areas, enhancing their strategic advantage in critical technology, supply chain, and research domains.

With the addition of up to one million new records daily, exoINSIGHT will provide customers with access to a broader range of information aimed at identifying opportunities and risks. Additionally, the integration of powerful generative artificial intelligence will enable users to intuitively parse data and extract insights from Exovera’s vast data holdings. An upgraded unified search capability will allow more efficient and effective exploration of multiple unique datasets within the platform.

“exoINSIGHT users can now access a larger pool of high-value data to identify patterns that previously might not have been evident,” said Exovera CEO Bob Sogegian. “Our customers gain a competitive edge, enhance operational efficiency, and mitigate potential risks through the platform’s advanced capabilities, unlocking a wealth of new intelligence.”

SOF Week 2024 will take place May 6-10, 2024, in Tampa, Florida. The Exovera team will conduct capability demonstrations at booth #5110 in the JW Marriott.

Exovera’s extensive repository of open-source data includes publicly available but difficult-to-reach data, such as social media, government procurement and business records, and technical reports. exoINSIGHT is an analytical platform that uses machine learning and natural language processing to exploit persistently collected and curated information, helping government and commercial organizations summarize and integrate it with data from other external sources in a common data fabric environment.

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