Qualitate is an AI-native primary intelligence platform built for investment firms and corporate strategy teams, using an AI Moderator that runs structured voice interviews with senior decision-makers and turns those conversations into queryable, time-series data. Customers either subscribe for continuous market and company intelligence across more than 10,000 public and private companies, or commission custom projects where the moderator runs 20 to 25 in-depth interviews in three to seven business days at roughly one-third the cost of traditional expert networks. The pitch to buyers is that primary research, historically a handful of expert calls scheduled through intermediaries and synthesized by junior analysts over weeks, can now run at a scale and speed a human process cannot match.
The launch coincides with a $7M seed round that gives the company capital to expand a customer base that already skews toward the top of the market. IA Ventures and Crew Capital co-led the round, with participation from angel investors Tony Berkman, Travis May, and Matt Levin, alongside advisors Alex Zukin and Brian Lichtenberger. The company says six of the top 15 private equity firms by AUM use the platform, along with large multi-manager hedge funds, private credit teams, and publicly traded enterprises running channel checks, win/loss analysis, and competitive intelligence.
Qualitate is based in NYC and was founded by Sagar Kadakia, who spent 15 years building research and data products for investment firms and enterprises, most recently at CB Insights and ETR . For operators and investors watching the expert network category, the launch is worth a look because it targets a workflow (structured primary research on shifting markets) that has largely resisted automation, and it does so with paying enterprise customers already on the platform and a transcript library exceeding 350,000 minutes of expert conversations, with 10,000 more added every week that feeds back into the moderator.
Comments (14)
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P
Priya RaghavanJul 27, 2026
Expert networks have been begging for a rewrite since 2008. Curious how you handle the compliance minefield around MNPI when the LLM is doing the synthesis.
T
Tomasz K.Jul 27, 2026
hot take: 'primary intelligence' is a genuinely good category name and I'm mad I didn't think of it first.
D
Denise OkaforJul 27, 2026
The video opens with a definition slide and I almost bounced. You've got maybe 3 seconds before people scroll, lead with the wow shot.
Y
Yuki HanaJul 27, 2026
Does the AI actually conduct the discussions or is it stitching transcripts after the fact? Big difference in what 'conducts' means here.
M
Marceline DuboisJul 27, 2026
Is there an API for pulling the structured outputs into our own pipeline, or is this dashboard-only for now?
R
Ravi M.Jul 27, 2026
Selling into investment firms with an AI that talks to their experts is a compliance conversation before it's a product conversation. Hope the deck has a whole section on it.
O
obedJul 27, 2026
Every expert network pitch I've seen this year says 'structured intelligence'. Would love to know what makes yours structurally different from a Notion export.
F
faridaJul 27, 2026
The best research doesn't come from more interviews, it comes from asking better questions. Curious which side of that Qualitate lives on.
L
Lena StraussbergJul 27, 2026
Have been waiting for someone credible to attack this category. The buyer pain here is real and nobody's shipped anything that actually works at scale.
B
Boris VolkovJul 27, 2026
Been building in adjacent research infra and this is a smart wedge. The real moat will be whether the experts actually enjoy talking to your bot the second time.
J
Jomari S.Jul 27, 2026
Tweet copy is doing too much heavy lifting for a launch. Where's the demo clip, the customer quote, the punchy stat that isn't a real stat?
K
Kwame A.Jul 27, 2026
Thousands of expert discussions a month conducted by AI. I'll believe it when I see a raw unedited call, not a sizzle reel.
I
Ingrid HalvorsenJul 27, 2026
The pacing in the launch video is actually clean, that jump cut at the interview moment sells the whole product. Whoever edited it earned their fee.
S
Sanju MenonJul 27, 2026
Which investment firms specifically? Happy to keep it off the record if you want to DM, but the 'world's leading' phrasing needs at least one logo behind it.
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Qualitate is an AI-native primary intelligence platform built for investment firms and corporate strategy teams, using an AI Moderator that runs structured voice interviews with senior decision-makers and turns those conversations into queryable, time-series data. Customers either subscribe for continuous market and company intelligence across more than 10,000 public and private companies, or commission custom projects where the moderator runs 20 to 25 in-depth interviews in three to seven business days at roughly one-third the cost of traditional expert networks. The pitch to buyers is that primary research, historically a handful of expert calls scheduled through intermediaries and synthesized by junior analysts over weeks, can now run at a scale and speed a human process cannot match. The launch coincides with a $7M seed round that gives the company capital to expand a customer base that already skews toward the top of the market. IA Ventures and Crew Capital co-led the round, with participation from angel investors Tony Berkman, Travis May, and Matt Levin, alongside advisors Alex Zukin and Brian Lichtenberger. The company says six of the top 15 private equity firms by AUM use the platform, along with large multi-manager hedge funds, private credit teams, and publicly traded enterprises running channel checks, win/loss analysis, and competitive intelligence. Qualitate is based in NYC and was founded by Sagar Kadakia, who spent 15 years building research and data products for investment firms and enterprises, most recently at CB Insights and ETR . For operators and investors watching the expert network category, the launch is worth a look because it targets a workflow (structured primary research on shifting markets) that has largely resisted automation, and it does so with paying enterprise customers already on the platform and a transcript library exceeding 350,000 minutes of expert conversations, with 10,000 more added every week that feeds back into the moderator.
Comments (14)
Expert networks have been begging for a rewrite since 2008. Curious how you handle the compliance minefield around MNPI when the LLM is doing the synthesis.
hot take: 'primary intelligence' is a genuinely good category name and I'm mad I didn't think of it first.
The video opens with a definition slide and I almost bounced. You've got maybe 3 seconds before people scroll, lead with the wow shot.
Does the AI actually conduct the discussions or is it stitching transcripts after the fact? Big difference in what 'conducts' means here.
Is there an API for pulling the structured outputs into our own pipeline, or is this dashboard-only for now?
Selling into investment firms with an AI that talks to their experts is a compliance conversation before it's a product conversation. Hope the deck has a whole section on it.
Every expert network pitch I've seen this year says 'structured intelligence'. Would love to know what makes yours structurally different from a Notion export.
The best research doesn't come from more interviews, it comes from asking better questions. Curious which side of that Qualitate lives on.
Have been waiting for someone credible to attack this category. The buyer pain here is real and nobody's shipped anything that actually works at scale.
Been building in adjacent research infra and this is a smart wedge. The real moat will be whether the experts actually enjoy talking to your bot the second time.
Tweet copy is doing too much heavy lifting for a launch. Where's the demo clip, the customer quote, the punchy stat that isn't a real stat?
Thousands of expert discussions a month conducted by AI. I'll believe it when I see a raw unedited call, not a sizzle reel.
The pacing in the launch video is actually clean, that jump cut at the interview moment sells the whole product. Whoever edited it earned their fee.
Which investment firms specifically? Happy to keep it off the record if you want to DM, but the 'world's leading' phrasing needs at least one logo behind it.