CGNIDA.AI raised $ 15 million to repair the largest bottleneck from AI: Publishing

cognida.aiAmnesty International has raised its headquarters in Chicago $ 15 million in funding from the AS to help institutions overcome artificial intelligence pilots to solutions from the production category that provides measurable impact. Lead the financing round by Nexus Venture Partners.

The investment comes in a critical time when the institutions are struggling Transforming artificial intelligence experiences In operational solutions. While 87 % of institutions invest in artificial intelligence, only 20 % publish solutions in production, according to Konaida.

“The AI’s adoption has reached the turning point,” said Fayrouz Mohamed, founder and CEO of Cognida, in an exclusive interview with Venturebeat. “The biggest challenges faced by companies are not just building models of artificial intelligence – they make them work in production.”

How to cut the Zunō platform at the time of the implementation of artificial intelligence from 8 months to 12 weeks

Muhammad, who previously led Hitachi Pantara As COO, three main barriers have been identified for the AI: data preparation, challenges integrating with current commercial operations and the lack of artificial intelligence experience within organizations.

To face these challenges, Cognida Zunō has developed a platform that includes predictive modeling, processing smart documents and advanced graph -based solutions. The company claims that its approach reduces the times of modeling model intelligence from 6 to 8 months to 10 to 12 weeks.

“Most traditional methods require long times in consulting projects, and do a lot of change management with long timelines and long submitted investments,” said Anwop Gupta, Managing Director of Nexus Venture Partners, in an interview with Venturebeat. “CGNIDA is one of the first times we encountered a company that can talk about clear use cases across various industries.”

The company has already published solutions in more than 30 institutions. In one case, Cognida helped the main manufacturer of the garage in converting its Catalog generation process from a six -month -long course to only weeks using AI Tolide. The solution allows the manufactured to create and present virtual doors designs, which allows fast tests with merchants.

Other successful applications include an improvement of 70 % in the speed of the bill processing and one percent reduction in customer rackets for SAAS customers – measures that translate into a large revenue effect of large institutions.

Foundation for the Foundation Program: Each staple is rewritten with artificial intelligence

Funding will support three initial initiatives: market expansion, development of intellectual property and capacity building. Mohamed imagines that CONIDA becomes the “Foundation’s Practical Intelligence Company” within five years.

“Each accommodation is rewritten programs to take advantage of artificial intelligence,” said Gupta. “In the next few years, every workflow in all artificial intelligence institutions will be much more than what is used today.”

This investment reflects a wider direction in AI FoundationWhere the focus turns from experimental projects to practical applications that achieve a clear return on investment. While companies seek to activate artificial intelligence while maintaining the current systems, CGNIDA’s approach to building solutions that integrate with the current workflow in time.

The company plans to expand the library of artificial intelligence solutions, develop its Zunō platform and develop its implementation teams to meet the increasing demand for institutions. With offices in Chicago, Silicon Valley and Hyderabad, India, Konida offers agents across manufacturing, health care, financing and technology sectors.

Industry analysts suggest that this funding tour can indicate a new stage in the adoption of the artificial intelligence institution, as practical implementation and prestigious measurable results on experimental pilots. As institutions continue to deal with the challenges of integration of artificial intelligence, you may find solutions that can show the effect of concrete business during work within the current systems, a growing traction on the market.

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