Co-Founder @StudioVCNYC. Wisconsin Raisedš§ ā”ļø Wall Street M&A ā”ļø @BainCapVC ā”ļø @HarvardHBS ā”ļø @SamsungNEXT VC. Adoring father to 3 kiddos under 9. NYC / CT
New York, NY
Joined November 2009
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Goodwill is so much more than an accounting concept #startups #venturecapital #investing ā at Mountain View, CA
Fun and DEEP conversation with @DWeisburd from @HowIInvestClips! Check it out on Apple Podcasts and Spotify.
95% of enterprise AI deployments fail, he says. A seed investor points to the data: about 80% sits behind firewalls, outside what LLMs were built on.
The next AI edge isnāt a bigger model. Itās access to data the models were never trained on.
@CoyneVC, Co-founder and Managing Partner of @StudioVCNYC , backs seed-stage companies at the intersection of enterprise software and AI. On why most deployments stall:
āGetting the data to a point where, from an infrastructure standpoint, itās ready to adopt AI is half the battle.ā
The failure rate he cites is 95 percent, a figure he thinks comes from Deloitte. And the gap is structural. LLMs, he says, have done an āabsolutely heroic job,ā but:
āTheyāve accomplished it with the publicly available data, similar to how Google crawls the public web.ā
The rest is locked away. In his words: āAbout eighty percent or more of the worldās data is behind firewalls.ā
So where does the value go? To software that earns trust and unlocks that private data:
āEnterprise software that is creating workflows that unlock new data feels like the oil rig company pulling new oil out of the ground for enterprise.ā
For investors, this reframes the question. Donāt ask which model wins. Ask who gets access to the data no model has seen, and who the customer trusts enough to hand it over.
The model is the engine. The data is the oil, and most of it hasnāt been pumped.
This episode is presented by @juniper_square.
Full episode below š
youtu.be/VbD3S3FlmW8
Joseph Coyne retweeted
95% of enterprise AI deployments fail, he says. A seed investor points to the data: about 80% sits behind firewalls, outside what LLMs were built on.
The next AI edge isnāt a bigger model. Itās access to data the models were never trained on.
@CoyneVC, Co-founder and Managing Partner of @StudioVCNYC , backs seed-stage companies at the intersection of enterprise software and AI. On why most deployments stall:
āGetting the data to a point where, from an infrastructure standpoint, itās ready to adopt AI is half the battle.ā
The failure rate he cites is 95 percent, a figure he thinks comes from Deloitte. And the gap is structural. LLMs, he says, have done an āabsolutely heroic job,ā but:
āTheyāve accomplished it with the publicly available data, similar to how Google crawls the public web.ā
The rest is locked away. In his words: āAbout eighty percent or more of the worldās data is behind firewalls.ā
So where does the value go? To software that earns trust and unlocks that private data:
āEnterprise software that is creating workflows that unlock new data feels like the oil rig company pulling new oil out of the ground for enterprise.ā
For investors, this reframes the question. Donāt ask which model wins. Ask who gets access to the data no model has seen, and who the customer trusts enough to hand it over.
The model is the engine. The data is the oil, and most of it hasnāt been pumped.
This episode is presented by @juniper_square.
Full episode below š
youtu.be/VbD3S3FlmW8
My dad once drove from Wisconsin to visit me and when he arrived said he already had dinner for usā¦āitās all warmed up.ā I was like ādid you put a microwave in your car?ā āNope, I wrapped it in foil and put it on top of my engine the last 100 miles.ā
#thinkingoutsidethebox
Anyone else open their cupboard and think āoh sweet, my wife bought me a new high protein snack!ā Only to realize itās a bag of dog treats? No? Just me? Haha
Just replied "VERY Cool" to a LinkedIn Spam message, and I realized that leveraging PE GUY's affect may be the ultimate defense mechanism.
Dear aspiring Emerging Managers in VC: Yesterday, I took 10 train rides (wish I were kidding) to visit a potential LP and attend a football game with him (which was awesome). 5 Trains each way x 2. That's the life.
As a Founder, you have to context switch to be successful. I told a Founder today, if the founding team of McDonald's restaurant spent 100% of their time cooking and working the cash register, they may never have invented the Big Mac or [Gasp] The Happy Meal. Take a breath, design the future.
In VC you have to believe in the āart of the possibleā but also acknowledge that the possible does not equate to the probable.
Once you hold both beliefs, optimal portfolio construction and tranching investment become the necessary tools to employ.
LOVE when unsolicited LinkedIn / email messages include āJoseph, this is my LAST messageā as if itās gonna make me act after months of ignoring their spam. Where in the GTM playbook does it suggest ending with a threat?
My extremely heat sensitive blonde wife after trying @dotspretzels Original pretzels and giving my assurance that theyāre ānot at all spicyā
One of the things Iāve learned on the golf course, meeting new people is you rarely remember how impressive someone is personally or professionally, you remember how they made you feel. Iāve experienced this playing and as a golf course worker and it never fades, even 30 years after carrying someoneās bag.
When defining your investment strategy, it is too easy to describe all the things you're good at rather than the 1 thing that really differentiates you.
Recently advised a friend that it would be hard to to tell someone that your car is both the BIGGEST and the FASTEST on the road, since those are both potentially great attributes, but extremely difficult to achieve in a single vehicle (pun intended)
You know you should be grateful when people ask you what your Fatherās Day plans are and you just hope itās the same as every weekend
Good business ideas that benefit users ā defensible business models for investment. Should it exist? Yes. Will it own a large market defensibly / profitably in the future? Uncertain. This is often a deciding factor for VC.