Riya Mehta
Age unknown · Toronto, Canada · cofounder of Outset
Outset used AI moderated customer research to help brands like Microsoft and Uber, then parlayed those case studies into a $30 million Series B led by Radical Ventures.
№ 027Exhibit AThe Setup
Riya Mehta did not start by chasing viral AI hype, she started by obsessing over how large consumer brands actually learn from their customers. Outset positioned itself as an AI powered customer research layer for teams that were already drowning in surveys, panels and unusable feedback, and it promised to turn that messy input into structured insight that marketers and product teams could act on within days instead of weeks.
Rather than try to boil the ocean, the founders went straight at big brands that already believed in research but were frustrated by its cost and latency. By framing Outset as a way to augment, not replace, existing insight teams, they made procurement and internal politics easier, and they built a wedge that could land in one business unit first then expand horizontally once early wins were proven.
The Evidence
The clearest signal that the strategy worked is the customer roster that Outset now talks about in public. When you can credibly say Microsoft, Nestle and Uber use your AI moderated research product to get closer to their customers, you are no longer a speculative AI startup, you are infrastructure that sits inside global marketing budgets and product roadmaps.
Those logos did double duty. They generated recurring revenue and usage data that trained Outset's models on real world conversations, and they also became the core narrative for investors. In their Series B announcement, the founders leaned hard on that traction, positioning Outset as pioneers in AI powered customer research and turning enterprise case studies into a fundraising deck that closed 30 million dollars from Radical Ventures, M12 and others without needing a consumer growth story.
The Mechanism
1. Use AI to compress the slowest part of the workflow that big buyers already pay for. Outset did not invent a new budget line, it made existing customer research dramatically faster and cheaper, which let champions inside Microsoft or Uber justify a pilot without political risk and then expand when internal stakeholders saw the time savings.
2. Turn every pilot into a narrative asset. Each successful deployment with a marquee brand became a case study the team could reuse in outbound to the next account and in investor conversations. Instead of generic AI claims, they had specific stories about how AI moderated research uncovered insight for a top global brand, and those stories functioned as both sales collateral and proof for venture capital.
3. Let distribution follow credibility. With a handful of big reference customers publicly attached to the product, new logos started to come inbound through word of mouth, conferences and investor networks. Outset's founders did not need a massive content engine, they simply amplified a few high trust signals in the right rooms, which pulled in both enterprise buyers and the capital that became their 30 million dollar Series B.
The Steal
- Sell AI as a speed and leverage upgrade to an existing budget, not a science project that needs a new line item.
- Make your first three enterprise customers so successful that their names carry your deck into every investor and buyer meeting.
- Treat every funded round as a distribution event by packaging your best customer stories into the announcement, not just the cap table.
Case Questions
- How did Riya Mehta grow Outset?
- Riya Mehta and the Outset team focused on a narrow problem that enterprise buyers already understood, slow and expensive customer research, then used AI moderation to compress that workflow. By landing pilots with brands like Microsoft, Nestle and Uber and turning those into public proof points, they built a credibility loop that attracted more enterprise customers and convinced investors that the product was becoming a core part of how global brands gather insight.
- How much funding did Outset raise?
- Outset announced a 30 million dollar Series B round led by Radical Ventures with participation from M12, the Microsoft venture fund, and other investors. The raise was framed around their traction with major global brands and their position as an early leader in AI powered customer research.
- What does Outset do?
- Outset builds an AI powered customer research platform that lets brands run and synthesize moderated conversations with customers at scale. Instead of relying only on traditional panels or slow manual interviews, teams use Outset to automate the moderation, transcription and analysis so they can move from raw conversations to actionable insights much faster.
- Who uses Outset's AI customer research platform?
- Outset highlights global enterprises such as Microsoft, Nestle and Uber as customers, which signals a focus on large marketing and product organizations. These companies already invest heavily in understanding their users, so Outset slots into existing research workflows and becomes a leverage tool for teams that need faster, repeatable access to customer insight.