Ofir Ehrlich

CEO and Co-Founder @Eon_io_

[Eon.io @Eon_io_]

The most valuable thing a large company owns is the data it can't get to.

@OfirEhrlich on why mapping and classifying it first is what lets you switch between every tool and still know it's safe.

[Ofir Ehrlich @OfirEhrlich]

One database says customer name. Another says client name. Same person.

Nobody downstream knows that. The moment data leaves the system that created it, it loses its context. The person who knew either left or never wrote it down.

So the AI gets two tables it can't connect, and it answers anyway with too much confidence.

Instead of saying I'm not sure, it just gives you the wrong number.

[Ofir Ehrlich @OfirEhrlich]

The hyperscalers will do everything they can to keep you locked in.

Everything. Nobody's being evil here. Incentives drive behavior, and their incentive is your data staying put.

The future belongs to the layers that give enterprises mobility over their own data.

[Eon.io @Eon_io_]

Companies moved to the cloud because it was economical and trendy.

Neither reason required anyone to know where a given document physically sits, which is why most companies can't answer that today.

Classification is the step that answers it.

[No Priors @NoPriorsPod]

What happens when AI agents with authorized database access make a rapid, catastrophic mistake?

Ransomware risk is back, except this time, it's agents moving at extreme velocity.

@Eon_io_ co-founders @OfirEhrlich and Gonen Stein join @eladgil on No Priors:

[Ofir Ehrlich @OfirEhrlich]

@Casspi18 Congrats @Casspi18 and the tram. Omri is a truly epic investor but also truly epic person and friend. So happy to be a small part of this journey. Onwards and upwards!

[Omri Casspi עומרי משה כספי @Casspi18]

We’re proud to announce Swish III, a $250M early fund, bringing Swish Ventures to $800M in total AUM.

I started this firm to spend my career supporting the artists who build and shape the future.
The technology shift underway is unlike anything we’ve seen. We plan to stay true to our colors: few investments a year, real concentration and partnership.

Grateful to the founders we get to work with, who inspire so much of how we work, and to our LPs for walking this path with us.

We are more locked in than ever.

Omri

[Ofir Ehrlich @OfirEhrlich]

@wonderful_ai @insightpartners @salesforce @IndexVentures @BessemerVP @IVP @VineVenturesLP @9yardscapital Congrats to the Wonderful team!

[Ofir Ehrlich @OfirEhrlich]

A release like this is a reminder of how easy switching models has become. The one thing you can't switch out is the data you've accrued.

[Claude @claudeai]

We’re introducing Claude Fable 5.1 and Claude Mythos 5.1.

They're the world’s most advanced models for coding and knowledge work.

[Ofir Ehrlich @OfirEhrlich]

A year ago everyone was telling me 2026 was the year.

Now it's look at the IPOs, maybe we'll have data centers in space. Nobody thinks it's a bubble anymore.

Whenever everyone thinks it's a bubble, it isn't.

[Ofir Ehrlich @OfirEhrlich]

@HarryStebbings @ceo_clickhouse Spot on!

[Harry Stebbings @HarryStebbings]

The story of ClickHouse is truly insane.

Started as an open-source project; scaled into the fastest-growing database product ever.

Year 1: $0
Year 2: $12M
Year 3: $50M
Year 4: $200M
Year 5 (not complete): My bet is $450M.

My notes from our discussion with @ceo_clickhouse below 👇

1. Are Large U.S. Enterprises Scared to Work With Frontier Model Providers?

Large enterprises remain skeptical of “zero data retention” claims and wary of sending proprietary source code to frontier labs due to IP indemnification and data leakage concerns. Rather than exposing production code, companies may limit frontier model usage to less sensitive workflows like code review while turning to open-weight alternatives for critical data.

2. How Do You Assess Defensibility and Moat in Companies That Scale Faster Than Ever Before?

When an application scales from zero to $100M in ARR in a single year, investors must rigorously question its underlying moat. Hypergrowth without high switching costs leaves companies vulnerable to rapid churn as customers move effortlessly to the next model or tool that leapfrogs the incumbent.

3. How Does This AI Cycle Compare to Prior Technology Shifts and Transitions?

Unlike the gradual adoption curves of the internet and mobile eras, the current AI wave is accelerating at an unprecedented pace. Agentic experiences are maturing rapidly, driving explosive revenue growth and placing historically unique performance demands on underlying data infrastructure.

4. What Job Does Not Exist Today That Will Be Very Prevalent in Five Years?

A critical new corporate role could be an AI finance function dedicated entirely to managing token consumption and resource allocation across the enterprise. But the role may ultimately be short-lived as autonomous AI agents increasingly manage their own infrastructure spend and budget execution.

5. What Should Investors Be Worried About Today That They Are Not?

The biggest overlooked risk in AI today is revenue durability. While infrastructure software benefits from high switching costs, agentic applications can have exceptionally low barriers to switching, raising questions about long-term retention as models and products continually leapfrog one another.

6. Why Revenue Concentration Is a Real Concern

Operators and investors should treat revenue concentration as a critical risk, with any single customer or vertical accounting for more than 10% of revenue representing significant exposure. Sustainable enterprise value requires a diversified customer base so losing one account never threatens the company’s overall growth trajectory.

(links in comments)

[Ofir Ehrlich @OfirEhrlich]

Worth the 15 minutes.
Then watch what your own agents do the moment a task can’t be finished.

[Dwarkesh Patel @dwarkesh_sp]

Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor’s ashes.

This culminated in the third one taking over part of OpenAI itself.

All this happened while humans remained more-or-less in the dark about the scope of the conspiracy.

I’ve spent the last three days reading through these reports and trying to understand exactly what happened.

Here is my attempt to tell the whole story in plain English:

https://t.co/Nb2un9oNJR

[Angie Jones @techgirl1908]

The team over at @Eon_io_ built an internal multi-agent assistant for its employees, with several specialist agents working behind the scenes. They use A2A to give these agents a standard way to communicate with each other and delegate work.

Each agent has an Agent Card that specifies its capabilities, helping the other agents discover who has access to what and who can help with a given task.

Such a good, practical look at what it takes to build multi-agent systems. And it wasn't all roses. They share what worked, what broke, and what the team would improve in the A2A spec.

https://t.co/xiPru9gedc

[Ofir Ehrlich @OfirEhrlich]

Enterprise data protection is far less solved than most people assume, and AI is raising the stakes. Not just on the protection side.

I joined @eladgil on @NoPriorsPod along with my co-founder Gonen Stein to talk about why this got urgent.

AI made data the most valuable asset in the company. It also made everyone a data creator. Non-technical teams build with tools like Lovable and create compliance blind spots that nobody is tracking. Most enterprises can’t tell you what data they have or where it lives, let alone whether it’s ready to be used.

Knowing your data and protecting it is only half of it. You need to identify it, classify it, and make it usable. Data that sits locked and scattered across business units will never power your AI

[No Priors @NoPriorsPod]

What happens when every employee becomes a builder without understanding security, compliance, or where company data goes?

You end up with untracked agents triggering other agents on live enterprise data.

@OfirEhrlich and Gonen Stein of @Eon_io_ join @eladgil on No Priors to discuss the rapid rise of shadow AI, non-human identities, and how to protect enterprise data.

[Ofir Ehrlich @OfirEhrlich]

In the last few months, and only the last few months, a lot of people I speak with have told me the same thing.

Either at their company or personally, they wrote something that deleted data. An agent that deleted data from production nobody intended it to touch.

You don't need a hack. You just need to delete something paramount enough that everyone says oh my God, that's horrible.

[Ofir Ehrlich @OfirEhrlich]

If you're in love with your 2028 roadmap, you're going to miss the shift happening tomorrow.

A year ago I couldn't have told you what today looks like. So how would I predict two years out? Nobody can. No one knows.

Real planning is an R&D architecture and a team that can turn on a dime.

[Ofir Ehrlich @OfirEhrlich]

@AmitAvner How will a CIO/CISO in a corporate environment approve even something with a limited scope? How can they even asses what this scope really is? And what could be the implications? Could be hazardous to companies

[Ofir Ehrlich @OfirEhrlich]

People ask why founders who don't need the money keep building. If Picasso were sitting here, would you ask why he painted another painting?

That's the actual exchange. Still the best answer I've heard.