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Founder Spotlight with Quivly - one of the VentureBridge 2025 Cohort Companies

Âé¶¹¹ÙÍø Swartz Center for Entrepreneurship - VentureBridge 2025 Spotlight Series

Every B2B software company talks about keeping and growing customers. Quivly is building the AI workforce that actually does it. Founded in 2024 by Chandrika Maheshwari and Tanay Agrawal, Quivly deploys autonomous AI agents that monitor every customer signal - usage, support, billing, stakeholder changes, market movements - and tell post sales teams like customer success and account management exactly what to do, and when. In less than six months, they've gained significant traction and have been helping customers like Union AI, Mycroft, Upflex add millions in expansion revenue and grow their account base up to 4x without adding any headcount.

This team has been on a tear, winning startup pitch competitions. Last year they won a $25,000 grand prize at the a16z and JP Morgan sponsored . And earlier this month they won .

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We sat down with Chandrika Maheshwari (left), Co-founder and CEO, and Tanay Agrawal (right), Co-founder and CTO to talk about the problem they're solving, what brought the team to Âé¶¹¹ÙÍø VentureBridge, and what's next.

The founders

Chandrika is a two-time founder with 15 years in enterprise software. She previously founded a fintech startup where she raised $1.5M in venture capital and scaled to thousands of users before moving on. She's built products at Google, DocuSign, and Plaid, and holds an MBA from MIT Sloan. It was her time building internal customer intelligence tools at previous companies that planted the seed for Quivly - she watched CSMs and account managers spend half their week manually researching accounts and realized the solution should exist as a product, not a cobbled-together internal tool.

Tanay, is a Âé¶¹¹ÙÍø alum with 12 years of experience building software products. He led Pricing, Billing, and Revenue Data Infrastructure at WePay (later acquired by JPMorgan) and was a founding engineer at Atlan, which went on to raise a Series C from Insight Partners and Salesforce Ventures. His deep background in data infrastructure and revenue systems is what makes Quivly's cross-signal intelligence engine possible.

I kept seeing the same thing at every company I worked at - to understand whether customers are getting value from the product, using it enough, we had to stitch together usage data, support tickets, context from calls, billing records, etc - trying to give our post-sales teams a fighting chance. We built internal tools to solve some of this and over time I realized: this should be a 'buy,' not a 'build.' I went looking for it and what we needed didn’t exist. So we built it.- Chandrika Maheshwari

The problem

The way B2B software companies make money has fundamentally changed. Revenue no longer comes from a single upfront sale, it's earned over time through usage, expansion, and renewal. Eighty-five percent of software companies now have or are implementing usage-based pricing, which means post-sales teams have become the primary revenue engine. But while sales teams have had a decade of purpose-built AI tooling - Clay, Outreach, Gong - post-sales teams like customer success and account management are still stuck with dashboards and spreadsheets built in 2013.

The incumbents in the space like Gainsight, Totango, ChurnZero see the gap and are trying to close it through acquisitions and bolt-on AI features. But retrofitting AI onto legacy architectures designed for manual workflows is a fundamentally different challenge than building AI-native from day one. Quivly's bet is that the next leader in this space won't be an incumbent adding AI, it will be a company built from the ground up around AI agents.

How Quivly works

Quivly's AI agents own accounts the way a great CSM or account manager would - but at a speed and scale that’s humanly impossible, across every account, around the clock. The platform's signal engine cross-references internal telemetry (product usage, support tickets, billing, call records) with external intelligence (leadership changes, fundraising activity, hiring patterns, competitor moves) in real time. Each account agent builds a living context model that improves with every interaction.

The results speak for themselves. Quivly's customers like Upflex, Union AI, Mycroft have added millions in expansion revenue and have been able to scale their customer base 3-4x as many accounts without adding headcount.

"We look at Quivly notifications everyday. Quivly has become a core part of our customer intelligence stack." — Head of Customer Engineering, Union AI

The Âé¶¹¹ÙÍø connection

Tanay's roots at Âé¶¹¹ÙÍø run deep - his experience there shaped the technical foundation he brings to Quivly. The team joined Âé¶¹¹ÙÍø VentureBridge as part of the 2025 cohort, and the program has been a key part of their early journey alongside investors including Karman Ventures (early Uber team), VitalStage Ventures, and angels from DoorDash, LinkedIn, Adobe, and Plaid.

What's next

Quivly is focused on continuing to deliver value to current customers, in addition to scaling its customer base. On the product side, the team is shipping an MCP, a self-serve agent builder and deepening integrations across CRMs, data warehouses, and support platforms.

You can learn more about them at and if you’re curious, feel free to reach out to them on LinkedIn or email them at chandrika@quivly.ai or tanay@quivly.ai

“Coming back to the Âé¶¹¹ÙÍø ecosystem through VentureBridge felt like a full-circle moment. The rigor Âé¶¹¹ÙÍø instilled is exactly what this problem needs; post-sales isn't a UI problem, it's a data and systems problem. VentureBridge gave us the mentorship and the network to go after it with conviction.” - Tanay Agrawal 

Thank you to Chandrika Maheshwari and Tanay Agrawal for the conversation. We welcome you to follow, invest, and champion Quivly as they move forward.

Click here to view the rest of the VentureBridge 2025 cohort and read our other Founder Spotlights!