Zeroset

Applied AI lab building models of work. Creators of Nebula.

[Zeroset @zerosetinc]

Today, we’re announcing Zeroset’s $5.2M pre-seed round to deploy world models into enterprises, co-led by @GradientVC and @2048vc, with participation from Leblon Capital and others.

Frontier intelligence is capable of enormously complex tasks. And yet with an abundance of general capability and mandate, automation still requires enormous handwork. The models and systems that exist today lack an understanding of the world they act in.

Robotics faced a similar problem. Building capable robots required more than compute-scaling on policies; they needed representations of their environments, encoding state and how it changed under actions. Over time, those representations shifted from hand-specified states toward learned models of the world.

What is missing in the enterprise is a general system that represents work and learns from it. At Zeroset, we believe the same paradigm that enabled progress in robotics can be applied to represent enterprise “worlds.”

We open with Nebula, a system that captures the state and traces created as people and agents work across systems, using them to model how an enterprise works and changes over time.

These models contain the decisions, dependencies, and unwritten processes bespoke to a company. They are derived from the enterprise, and they should belong to the enterprise.

Companies should be able to use the best models for their work and train them on their own operating knowledge freely. The underlying system does not need to change.

Nebula is currently in closed research preview. If your team is automating complex work or exploring how to learn from the work your organization already does, please contact us.

We are building the system through which that intelligence becomes increasingly specialized to the enterprise, allowing agents to act through it, and models to learn from it.

If you’d like to join us in building this future, we’re hiring researchers and systems engineers.

Read more here: https://t.co/sAae9FFGzH

[Zeroset @zerosetinc]

@johncrown Thanks John!

[Alex Iskold | 2048.vc @alexiskold]

Absolutely thrilled that @2048vc backed this super special team and work with @darian314 at @GradientVC

[Darian Shirazi @darian314]

Zeroset is building temporal memory for agents! Excited to see them emerge from stealth with a $5.2M pre-seed led by us @GradientVC and @alexiskold - read more from @BusinessInsider: https://t.co/0thVmIWwMb

[2048 Ventures 🧬 🤖 ⚙️ @2048vc]

🗞️ 2048 Ventures Portfolio Company News:

AI agents don't always understand how companies work. This startup raised $5.2 million to solve that.

https://t.co/zOpEmHv8Xb

@zerosetinc // @2048vc // #startups // #VC

[Clayton Petty @Cdpetty]

Excited our investment in @akshatkannan and @wzhang at @zerosetinc is finally public! Aside from the fact that they are building incredibly cool tech (first product, 'Nebula', delivers 20% higher retrieval accuracy than leading memory systems on LongMemEval), they are in the @GradientVC office grinding 7 days a week. Raising the bar for founder mode.

CC: @denise_teng25 @darian314

[Zeroset @zerosetinc]

@GradientVC @2048vc Join us at https://t.co/u7j5ioK2It

[Zeroset @zerosetinc]

Today, we’re announcing Zeroset’s $5.2M pre-seed round to deploy world models into enterprises, co-led by @GradientVC and @2048vc, with participation from Leblon Capital and others.

Frontier intelligence is capable of enormously complex tasks. And yet with an abundance of general capability and mandate, automation still requires enormous handwork. The models and systems that exist today lack an understanding of the world they act in.

Robotics faced a similar problem. Building capable robots required more than compute-scaling on policies; they needed representations of their environments, encoding state and how it changed under actions. Over time, those representations shifted from hand-specified states toward learned models of the world.

What is missing in the enterprise is a general system that represents work and learns from it. At Zeroset, we believe the same paradigm that enabled progress in robotics can be applied to represent enterprise “worlds.”

We open with Nebula, a system that captures the state and traces created as people and agents work across systems, using them to model how an enterprise works and changes over time.

These models contain the decisions, dependencies, and unwritten processes bespoke to a company. They are derived from the enterprise, and they should belong to the enterprise.

Companies should be able to use the best models for their work and train them on their own operating knowledge freely. The underlying system does not need to change.

Nebula is currently in closed research preview. If your team is automating complex work or exploring how to learn from the work your organization already does, please contact us.

We are building the system through which that intelligence becomes increasingly specialized to the enterprise, allowing agents to act through it, and models to learn from it.

If you’d like to join us in building this future, we’re hiring researchers and systems engineers.

Read more here: https://t.co/sAae9FFGzH

[Zeroset @zerosetinc]

@wzhang 🌠

[Zeroset @zerosetinc]

@akshatkannan 🌠

[William Zhang @wzhang]

We raised $5.2m at Zeroset to bridge the gap between frontier intelligence and the trajectories of enterprise workflows.

We believe in a future where companies own the models trained on their own traces.

If this interests you, join us at https://t.co/3kUym42R4s

Grateful to @darian314 @denise_teng25 @alexiskold @thisiszann for supporting our mission!

[aki @akshatkannan]

Frontier intelligence is getting better at acting. What it still lacks is an understanding of the world it acts within.

For enterprises, that world is not just documents and static retrievable context. It is the enterprise as a dynamic system, including the context and traces that change the static world.

Robotics learned that capable policies require representations of their environments. We think the same will be true for enterprise intelligence.

We’re building Zeroset to create these representations: world models of enterprise state and dynamics, learned from the traces generated by people and agents at work.

Our first system, Nebula, captures this operating state so agents can act with deeper context and models can learn from the work performed inside the enterprise.

Today, we’re announcing Zeroset’s $5.2M pre-seed and Nebula, now in closed research preview.

[Zann @thisiszann]

Let's cook @akshatkannan and @wzhang 🧑‍🍳

Pumped to back this mega talented duo alongside our amigos @GradientVC!

@zerosetinc is going to be a very big company, watch this space

[Zeroset @zerosetinc]

@GradientVC @akshatkannan @wzhang Thanks for covering us @denise_teng25 !

[Zeroset @zerosetinc]

@thisiszann @akshatkannan @wzhang @GradientVC Thanks for your support Zann!

[Denise Teng @denise_teng25]

Agents are only as good as their ability to remember the right things at the right time.
Proud to back the @zerosetinc team building temporal memory for agents!! 🚀@akshatkannan @wzhang @GradientVC

[2048 Ventures 🧬 🤖 ⚙️ @2048vc]

We are thrilled to announce our latest investment in @zerosetinc!

Read more about why we invested 👇

https://t.co/R5LPhXKzAZ

💡 Zeroset is building temporal memory for agents.

👩‍💻 The Founders: @wzhang & @akshatkannan

📌 Location: San Francisco

💰 Investment Stage: Pre-Seed

[Gradient @GradientVC]

No model, no matter how capable, knows the ins and outs of how a company operates. Until it's captured in a way that an agent can actually use, enterprise agents will keep failing.

@akshatkannan and @wzhang are building @zerosetinc, which recreates workflows and states of how enterprises run so agents can operate inside it.

More on our investment from @denise_teng25:
https://t.co/s1Ff0CkCCB

[mack @theMackabu]

aura