| |
|
| |
Invitation only 15 seats Approval required
For leaders of Series A+ startups building proprietary AI models, with a select number of seats reserved for investors.
This is a roundtable, not a panel: everyone at the table is welcome to bring opinions.
Some of the investors in the room:
Merck Global Health Innovation Fund (GHI Fund)
Presidio Ventures (Sumitomo Corporation)
Morgan Stanley Inclusive Ventures
Momentum Partners (Private Equity)
United Korean Founders (UKF)
Description:
When AI compresses engineering cycles from months to days, the scarcest thing in a startup is no longer the ability to build.
It's knowing what to build, for whom, & how to win when everyone can ship.
That shift rewrites the founder's job. Moats move from code to data, distribution, & judgment. Team shapes change. Capital efficiency changes what "venture scale" even means.
The playbooks most of us learned are quietly going out of date, & the new ones are being written right now, by the people in rooms like this one.
The evening:
Dinner & conversation with a curated table of ~15 founders, operators, & investors.
Exceptional wines, thoughtfully curated cuisine, & original artwork.
Guests will experience a thoughtfully curated progression of refined dishes, premium selections, & seasonal ingredients, accompanied by Cava Brut & Ros, Petit Chablis, & Malbec.
The evening concludes with an exclusive dessert pairing & the Signature Cocktail, a bespoke finale to the experience.
What we'll get into:
What's newly easy, what's suddenly hard, & what that does to the first 18 months of a company
Where defensibility actually lives when software is cheap
How team composition & hiring change when one builder does the work of five
What the next generation of founder playbooks will look like
House rules:
Off the record. No slides, no pitches, no recording. Come with a point of view.
Trinovation Partners: The "Scale AI" of Venture Backed Startups
We are an AI data operations partner for venture-backed teams building computer vision & AI products. We build & run dedicated annotation pods: named, trained teams assigned to your product, not an anonymous crowd. Covering image & video annotation, gold-set calibration, human-in-the-loop QA, & edge-case review. Pods launch in 1-2 weeks, scale with your deployments, & deliver quality you can audit: 500+ annotators deployed, 95%+ QA accuracy, & a 30% model accuracy lift for our clients. Independent & New York-based.
Elpis Labs
We work with the government sector & international trade agencies to help their startups find corporate partners in the U.S.
The Vertical
An online publication, community platform, & event series focusing on international venture ecosystem.
|
|
|
|
|
|
|
|
