Time’s almost up! There’s only one week left to request an invite to The AI Impact Tour on June 5th. Don’t miss out on this incredible opportunity to explore various methods for auditing AI models. Find out how you can attend here.
Maven AGI, a generative AI platform poised to revolutionize enterprise customer support, announced today that it has raised $28 million in funding and is launching out of stealth mode. The Series A round was led by M13, with participation from Lux Capital, E14 Fund (MIT’s founder fund), and notable executives from OpenAI, Google, HubSpot, and Stripe.
Founded by CEO Jonathan Corbin, CPO Eugene Mann, and CTO Sami Shalabi, Maven AGI aims to tackle the $460 billion customer support industry by leveraging the power of generative AI to deliver highly personalized and efficient customer experiences. The platform’s AI agents have already demonstrated impressive results for early adopters like Tripadvisor, HubSpot, Impact.com, and ClickUp, autonomously resolving over 93 percent of inquiries, reducing support costs by 81 percent, and handling millions of interactions across more than 50 languages.
“Maven AGI is the most accurate solution in the industry because of the focus we’ve put on creating a proprietary enterprise search engine,” said Jonathan Corbin in an exclusive interview with VentureBeat. “This search engine can scour millions of knowledge articles and documentation in milliseconds. The first thing Maven does is use Enterprise Search to find the correct answer. Next, Maven’s search validates the accuracy of the answer it has found with other documents. From there, it vets that answer’s accuracy against newer documentation to ensure it’s still up-to-date. Then the final step is when Maven uses GenAI to create an answer that is custom to the user.”
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Proprietary enterprise search engine ensures high accuracy and personalized responses
The platform’s high accuracy is achieved through a multi-step process that begins with a proprietary enterprise search engine, capable of sifting through vast amounts of knowledge articles and documentation to find the most relevant answers. The system then validates the accuracy of the answer a …
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Time’s almost up! There’s only one week left to request an invite to The AI Impact Tour on June 5th. Don’t miss out on this incredible opportunity to explore various methods for auditing AI models. Find out how you can attend here.
Maven AGI, a generative AI platform poised to revolutionize enterprise customer support, announced today that it has raised $28 million in funding and is launching out of stealth mode. The Series A round was led by M13, with participation from Lux Capital, E14 Fund (MIT’s founder fund), and notable executives from OpenAI, Google, HubSpot, and Stripe.
Founded by CEO Jonathan Corbin, CPO Eugene Mann, and CTO Sami Shalabi, Maven AGI aims to tackle the $460 billion customer support industry by leveraging the power of generative AI to deliver highly personalized and efficient customer experiences. The platform’s AI agents have already demonstrated impressive results for early adopters like Tripadvisor, HubSpot, Impact.com, and ClickUp, autonomously resolving over 93 percent of inquiries, reducing support costs by 81 percent, and handling millions of interactions across more than 50 languages.
“Maven AGI is the most accurate solution in the industry because of the focus we’ve put on creating a proprietary enterprise search engine,” said Jonathan Corbin in an exclusive interview with VentureBeat. “This search engine can scour millions of knowledge articles and documentation in milliseconds. The first thing Maven does is use Enterprise Search to find the correct answer. Next, Maven’s search validates the accuracy of the answer it has found with other documents. From there, it vets that answer’s accuracy against newer documentation to ensure it’s still up-to-date. Then the final step is when Maven uses GenAI to create an answer that is custom to the user.”
[embedded content]
Proprietary enterprise search engine ensures high accuracy and personalized responses
The platform’s high accuracy is achieved through a multi-step process that begins with a proprietary enterprise search engine, capable of sifting through vast amounts of knowledge articles and documentation to find the most relevant answers. The system then validates the accuracy of the answer a …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]