Kleiner Perkins

Leadership & org chart

Cameron FinkFounder FellowCFCameron FinkFounder FellowMEMoustafa ElBialyChief Information OfficerNed KohFounder FellowNKNed KohFounder FellowSBSusan BiglieriChief Financial Officer

Show full org chart · 27 people

PPP10 alumniwhere they went →

Investments

• Rogo

  New York AI platform for financial institutions whose agents build Excel models, investment memos, diligence and slide decks

• Traversal

  Company founded in 2023 by Anish Agarwal, Raj Agrawal, Raaz Dwivedi and Ahmed Lone, building an AI site reliability engineer that root-causes production incidents for enterprises.

• PermitFlow

  NYC company founded in 2021 by Francis Thumpasery and Samuel Lam, building construction permitting software that automates permit preparation and submission.

• Garner Health

  Data science platform ranking doctors on quality and cost for employer health plans

• Avoca

  An AI front office platform that provides call handling, scheduling, and customer communications for home services businesses

In the news

• Reposted Aaru@seekingtauX · Sep 30, 2026
  RepostedAaru@aaruHQWe’re announcing our alliance with @EYnews, strengthening our conviction that the businesses who win will be those that best understand outcomes before they occur. https://t.co/Uhb771JPO7
• Reposted Aaru@virtualnedX · Sep 30, 2026
  RepostedAaru@aaruHQWe’re announcing our alliance with @EYnews, strengthening our conviction that the businesses who win will be those that best understand outcomes before they occur. https://t.co/Uhb771JPO7
• Reposted khushi suri@seekingtauX · Sep 24, 2026
  Repostedkhushi suri@khushkhushkhushthe beautiful thing about aaru is that they went headfirst into solving a really hard problem the hard way two+ years ago when they started the company, no one believed you could simulate human behavior without anchoring on human surveys. aaru saw how flawed human inputs make research and strategy outcomes. all the other simulation companies are merely building faster horses. great writeup on their progress so far, would (and have) bet it all on this team
• Reposted Aaru@virtualnedX · Sep 24, 2026
  RepostedAaru@aaruHQSimulation has the potential to be transformative, but only if it's accurate. Today, we're sharing results of a comprehensive evaluation across 2,993 questions, with an industry-leading mean TVD of 7.62% and an MAE of 3.53%. More below, including the full post on our site. https://t.co/frFhmGfDGf
• Reposted Aaru@seekingtauX · Sep 24, 2026
  RepostedAaru@aaruHQSimulation has the potential to be transformative, but only if it's accurate. Today, we're sharing results of a comprehensive evaluation across 2,993 questions, with an industry-leading mean TVD of 7.62% and an MAE of 3.53%. More below, including the full post on our site. https://t.co/frFhmGfDGf
• The Weekly Notable Startup Funding Report: 9/14/26The notable startup funding rounds for the week ending 9/12/26 featuring funding details for Fab2, Maven Robotics, Latitude, and thirty-six other deals representing $10.2B in new funding that you need to know about.AlleyWatch · Sep 13, 2026
• Instinct’s powerful AI assistant is raising privacy and security concernsEarly testers are raving about what Instinct can do, but some say the AI assistant’s sweeping access, broad terms and ability to act on users’ behalf come with uncomfortable trade-offs.TechCrunch AI · Aug 24, 2026
• Reposted John Kessler@seekingtauX · Apr 16, 2026
  RepostedJohn Kessler@john_kAn interesting consequence of productivity gains as a result of newly introduced agentic tooling is that it seems to invert the standard time discount on labor. The typical assumption is that an hour today is worth more than an hour a year from now. But, if the hour a year from now is 10x more productive, the discount flips and the future hour is much more useful. Rationally, one might expect to stop spending the hours of today on work that becomes much cheaper, redirecting that time towards accumulating durable, compounding assets that aren’t subject to the time discount inversion (e.g. capital, trust, mindshare). Consider Brunelleschi and the Duomo of Florence. If Brunelleschi learned that within the year, a crew of engineers equipped with hydraulic cranes would magically appear, he’d be likely to stop laying bricks. He may spend more time refining the dome’s geometry or thinking about how to best change the dome’s design to accommodate these new tools. There’s probably two caveats here – firstly (and most obviously), this only applies where productivity is compounding fast enough to flip the discount. Furthermore, this is hard to project–certain spaces may incur this inversion only some N% of the time–and experimenting may not be viable when the penalty of an undershoot or miscalibrated prediction has exponential downside. Secondly, some games are Red Queen’s Races. Failing to produce in the short-term would foreclose the long-term payoff. Consider Brunelleschi, who’s now competing with the hypothetical, equally-acclaimed renaissance architect Ihcsellenurb. Brunelleschi and Ihcsellenurb are competing for a grant from a wealthy patron who’s unaware of the incoming cranes, instead intending to award the grant based on visible quarterly progress. Brunelleschi might know the cranes are coming, yet still be forced to lay bricks, as without this grant, he’d be unable to pay the crane operators when they arrive. Seemingly, this model only works when an actor can afford short-term output illegibility in pursuit of a better long-term output. My sense is that the distribution of these actors is barbelled. On one hand, entrenched incumbents with reservoirs of trust and capital are able to absorb quiet quarters (Apple, for instance). On the other hand, small players can afford illegibility simply because nobody cares enough to punish it. It seems the losers of this game sit in the middle of the barbell; this makes sense, given it’s the only segment where short-term legibility is (1) required and (2) existential. Incumbents and upstarts alike can absorb misses in a way that the squeezed middle can’t. Private markets will see two middle-of-the-barbell companies, where one is externally missing whilst the other seems to just keep winning, and reward the one with the legibly positive result. So, the middle must survive by laying soon-to-be-obsolete bricks, simply to keep up in the Red Queen’s Race

Alumni 1 went on to found or lead

• Anand ChaturvediFellow→Co-Founder, CEO at Dili
• PRebecca LeeKleiner Perkins Fellow→CTO at Elayne
• PSusan BiglieriController→Lecturer at University of California, Berkeley - School of Law

The full Kleiner Perkins mafia →

Something wrong or missing? Send an update. Fixed within 24 hours.