AI Hot 100 Spotlight: Maven AGI
Introducing Maven AGI - one of the Hot 100 startups selected by The AI Furnace, with Sami Shalabi (Co-founder & CTO) speaking at The AI Hot 100 Conference.
Founders: Jonathan Corbin (ex-Vice President at Hubspot, Sprinklr and Mentor at Techstars) , Eugene Mann (ex- senior Product Manager at Google, and ex-product lead at Stripe) and Sami Shalabi (Co-founder at Zingku and Co-founder and Engineering Lead of All-New Google News).
What does MavenAGI do? The Maven AGI team is building a customer service AI Agent to elevate customer support with conversational AI chat. The AI agent provides instant AI-Powered Resolution, Natural Language interactions and rapid document searches.
While in stealth mode, Maven’s technology autonomously resolved over 93% of customer inquiries, cutting support costs by 81%, enhancing the overall customer experience, at scale, after resolving millions of interactions in over 50 languages for early customers. The results of integrating MavenAGI have been positive for companies like HubSpot and TripAdvisor.
Mission: To transform customer experience with GenAI.
Funding: Maven AGI has raised $28M in funding led by M13, with participation from Lux Capital, E14 Fund (MIT’s founder fund), and notable executives from OpenAI, Google, HubSpot and Stripe.
Want to see Maven AGI in action? See Sami Shalabi, Co-Founder & CTO speak at The AI Hot 100 Conference.
Q&A with the Founders
Tell us more about what MavenAGI does? Can you share some insights on what inspired you to launch?
Jonathan Corbin, CEO: “I’ve been obsessed with customer experience since very early on in my career and that’s why I’ve spent so much time at industry-leading companies in this space (Adobe, Marketo, Sprinklr, Hubspot, etc). Back in 2017, I was coming back from a West Coast swing, meeting some great customers like Apple and Nike, and we had these incredibly in-depth conversations about the potential to unlock siloed data and create these very personalized experiences down to the individual user level. I’m not talking about the segmented approach of you falling into this age category or demographic. No, this is the ability to fully deploy all the information that you have shared with us to anticipate customer expectations and proactively engage with them. There was massive excitement from the customers but the technology didn’t really exist at the time.”
Can you define what AGI is in the context of Maven AGI?
Jonathan Corbin, CEO: “AGI is really well defined from a language perspective – it’s artificial general intelligence. What does that actually mean in the business sense? We’re focusing on something that we’re calling business AGI and define it as the ability to handle complex tasks using functional AI agents that are specially trained for specific responsibilities with an orchestration layer that allows them to work together.
An example of this might be a bank account user engaging with their bank and asking if their deposit has cleared – what we know from account history is that they need a small bridge loan to to gap their bills and check cashing. Maven will understand the historical context and offer the loan while handling all of the paperwork that might be associated with it such as background checks, credit checks, filling in loan paperwork, understanding the risks, approval, and a specific amount that falls within the risk profile, approving the loan, and moving the money to the person's account.
Another example would be someone going to their CRM support team and asking how to deploy a campaign. What we would understand from that is they don’t want to know how to create a campaign, but they want a certain number of leads by a certain date. Users would have the ability to say, “Give me 100 leads next month” and Maven would go through the incredibly complex task of delivering those.”
What technological advancements have enabled Maven AGI to achieve such high rates of autonomous issue resolution?
Jonathan Corbin, CEO: “I believe we have recruited one of the best engineering teams in the world to solve what comes down to a data problem. Brilliant folks who have worked on challenges like search at Google, and personalization at scale at Meta and Amazon, and have been thinking about solving these sorts of problems for years. Data is fragmented and siloed, and in order for us to answer customers' questions and take actions we needed to be able to ingest more data than anyone else. The second part is the ability to take actions and build our action engine because we know that just answering questions isn’t enough. In order for us to achieve business AGI we need to be able to anticipate users' needs and engage them with intention.”
Sami Shalabi, CTO: “One of the advantages of this generation of AI versus the last generation models is actually you don't really need that much data for any given customer…Evaluation at scale is the magic sauce. The Maven approach has been validated with over 1M customer interactions. Our platform provides the tools that the head of support, CX, and product need to confidently answer any question their customers throw at it.”
Q&A cited from:
https://www.unite.ai/jonathan-corbin-founder-ceo-of-maven-agi-interview-series/
https://openai.com/index/mavenagi-launches-automated-customer-support-agents-powered-by-openai/
