Founding Partner @Wing_VC. Early-stage / long-term investor in @SnowflakeDB, @Gong_io, @Pinecone and other enablers of the AI First transformation of business
@Wing_VC's investment in Bespoke is the result of an exhaustive exploration of the space. We looked long and hard for the right team and were fortunate to meet @madiator and @AlexGDimakis! Limitless opportunity here
.@bespokelabsai raises $40M to build the environments that train reliable agents π
AI agents are unreliable. That's the single biggest thing standing between today's demos and the coworker-grade agents everyone keeps promising.
Bespoke is fixing it at the root, and the key ingredient is the environment an agent learns in: a realistic, simulated world where it practices a task and gets graded on whether it actually finished.
Founded by @madiator and @AlexGDimakis, Bespoke is already behind some of the most-used open work in AI.
Read more on the @Wing_VC blog about our investment.
https://t.co/1P1BGFkFvP
Introducing Pinecone Nexus. A knowledge engine for agents.
The bottleneck for production agents isn't the model. It's the per-query work of searching, stitching, parsing tables, normalizing labels. Nexus compiles that work ahead of time into typed, governed artifacts. Agents query through KnowQL.
90% fewer tokens. >90% task completion. 30x faster.
Early access open.
https://t.co/FMAjWmQOMJ
It's been so fun to work on the ET30 research project these past 7 years, and see all the progress the ET30 companies have made since their initial inclusion in the list. So much long term value in this group!
The 2026 Enterprise Tech 30 is live! π
60 companies shaping the future of enterprise.
In partnership with @EricNewcomer at @NewcomerMedia
See the full list: https://t.co/6EEo9vOd1a #ET30
@eoghan Congrats on a great turnaround! But - "we are now on our way to being the fastest growing, large software company (per our knowledge), private or public, in the world." There are larger, faster growing software companies. I suspect you know this.
@Wing_VC Superb work! Those of you interested in this kind of ground truth analysis should also check out @Wing_VC's study of the State of AI in the Enterprise. Our research team gets to the heart of the matters that matter!
Incredible data from @Wing_VC's Healthcare Leadership network. Many of you are already familiar with the analysis we do with Wing's Enterprise Technology Leadership network. This is a related "vertical" project with the attendees of Wing's Healthcare Summit at JPM. Dig in!
What do healthcare leaders actually expect from AI over the next decade?
At Wing at JPM, we surveyed 100+ executives on everything from drug approvals to personalized care and system-wide access.
Read the 'Healthcareβs 2026 Inflection Point: Predictions from Leaders at Wing at JPM' Survey from @sarachoi_ and @Satpathology
https://t.co/TCNe7kYo31
#JPM26 #JPM2026
@Wing_VC just released our State of AI in the Enterprise study, which taps the expertise of hundreds of C-level technology executives. Momentum is building: 56% of large enterprises are in production with AI agents. More insights here: https://t.co/sMxdcl8rel
This is a big f*ing deal. First ever Gartner Magic Quadrant for Revenue AI. @Gong_io is the unquestioned leader. In the original 1851 America's Cup, a young officer told Queen Victoria "There is no second"; so it is in Revenue AI
https://t.co/WiUwqXG3tl
A big step forward in the world of GPU computational capacity. With the value and operational complexity of these resources, the @sfcompute model is an inevitability. Great to be working with you @evanjconrad and your elite team
When I worked in HPC we used to describe computational capacity in FLOPS. More recently that has shifted to GigaWatts. And now people talk about it in $AUM. I find this shifting vocabulary supremely interesting and quite telling of the underlying drivers and scarcities