Exclusive: Maven AGI’s $28M funding round signals the rise of generative AI in customer support
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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, CTO Eugene Mann, and President 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.”
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 against other documents and newer information before using generative AI to craft a personalized response for the user. This approach sets Maven AGI apart from competitors, who often rely solely on generative AI, resulting in less reliable and frequently inaccurate responses.
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“Deploying AI Agents at Enterprise product scale means solving quality — how do you trust the AI to be accurate and not go rogue?” Corbin said. “Maven AGI outperforms competitors by delivering the highest-quality responses, grounded in truth, for even the most challenging questions. While the standard competitor coverage hovers around 50 percent, Maven achieves an impressive 93 percent coverage. We do this by always referencing knowledge to generate and answer, and tuning Maven’s personality to speak with appropriate brand voice.”
Seamless integration with enterprise systems and focus on data privacy
Integration with existing enterprise systems is a key focus for Maven AGI. The platform natively integrates with popular CRM and help desk tools like Salesforce, Zendesk, Freshdesk, and HubSpot, allowing companies to seamlessly enhance their customer support capabilities without disrupting current workflows. This frictionless integration enables the deployment of AI-powered features such as Generative AI Agent Co-Pilots, Conversational AI Chat Agents, and proactive insights to optimize customer interactions at every level.
Data privacy and GDPR compliance are also top priorities for Maven AGI. The company ensures that personal data is collected with consent and used strictly for providing and improving the service. Data is processed by secure, vetted service providers, and users have the right to access, rectify, object, restrict, and delete their personal information. Additionally, data is encrypted both in transit and at rest, and the company maintains robust security policies and employee training programs.
Rapid deployment and expansion into diverse business functions
Unlike traditional machine learning systems that require vast amounts of training data, Maven AGI can be deployed within hours and trained in days using various forms of documentation, including PDFs, spreadsheets, and even handwritten notes. This rapid implementation allows companies to quickly harness the power of generative AI to enhance their customer support operations.
Looking ahead, Maven AGI plans to expand its AI capabilities beyond customer support to other critical business functions. “Maven AGI’s ambition is to develop AI systems capable of human-level comprehension and logic across diverse business functions,” Corbin told VentureBeat. “This means that customers in the future can tell their marketing platform of choice to ‘give me 100 leads next month,’ and Maven will use multiple AI agents coordinated by an orchestration layer to deliver outcomes with no additional human involvement.”
With the new funding, Maven AGI will focus on expanding its engineering, go-to-market, and partnership teams to further develop its platform and reach a broader market. As enterprises continue to seek innovative solutions to enhance customer experiences and streamline operations, Maven AGI is poised to lead the charge in transforming customer support through the power of generative AI. The future of business might just be one voice command away.
