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ZEIST

The Secure, Scalable, Developer-First Infrastructure for AI Agents

Pre-Seed 2026
|
San Francisco, CA
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AI Agents Need a New Kind of Infrastructure

Cold Start Bottleneck

  • Secure sandboxes take 5-10 seconds to spin up
  • Every tool call needs a new isolated environment
  • Agents stall waiting for infrastructure

Stateless by Default

  • Sandboxes die after minutes, losing all state
  • No persistence between agent sessions
  • Users can't return to work-in-progress

Multi-Agent Isolation Failure

  • Agents can access each other's files
  • No true isolation between concurrent agents
  • Shared file systems create security risks

Scaling Ceiling

  • DIY Kubernetes = patch vulnerabilities yourself
  • Most solutions cap at hundreds of sandboxes
  • No built-in network policies or IP filtering

Running untrusted AI code can expose secrets, overwhelm resources, or escape the container.

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Zeist: Sandboxes Built for AI Agents

Everything you need to build production-ready AI agents

Sub-Second Spin-Up

150ms cold starts, instant snapshots, agents never wait

True Stateful Persistence

Sandboxes persist for weeks, multi-agent shared file systems with isolation

Enterprise-Grade Security

Network isolation per sandbox, outbound policies, untrusted code can't escape

zeist deploy
Instant Sandbox
Production Ready

One CLI command → Instant sandbox → Deploy to production

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The Perfect Storm

The smartest people and biggest funds in AI agree—sandbox infrastructure is THE critical problem

6.7x

Market Explosion

$7.8B → $52.6B by 2030

95%

Enterprise Adoption

of US companies now using GenAI

RFS

YC Validation

Multi-agent infrastructure is 2026 priority

"This is like the first time where infrastructure is lagging the applications."

S

Swyx

AI Engineer & Latent Space Podcast

@swyx

"In our internal usage, sandboxing safely reduced permission prompts by 84%. Running agent-generated code requires secure sandboxing, resource limits, and monitoring."

A

Anthropic Engineering

Claude Code / Claude Agent SDK

"For security reasons, each agent tool call requires its own isolated sandbox. Security and isolation are non-negotiable."

G

Google Cloud

Kubernetes Agent Sandbox Initiative

"Every AI agent needs a sandbox. We've seen langflow RCE vulnerabilities, Cursor auto-execution exploits, and database wipe-outs at Replit."

Y

Yassine Bargach

Security Engineer

"a16z just raised $15B—including $1.7B specifically for AI Infrastructure. AI and crypto are the 'key architectures of the future.'"

Andreessen Horowitz, January 2026

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A $52 Billion
Opportunity

$52.62BTAM - Global AI Agents 2030
$18BSAM - AI Infrastructure 2025
$180MSOM - 1% Target Year 2
46% CAGR

$180M

SOM

1% Target Year 2

$18B

SAM

AI Infrastructure 2025

$52.62B

TAM

Global AI Agents 2030

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Feature Comparison

How Zeist stacks up against the competition

FEATURE
E2B
Modal
Daytona
Vercel
ZEIST
Cold Start Time
200ms
<1s
90ms
~500ms
<150ms
Max Runtime
24hr
24hr
24hr
5hr
24+
True Persistence
Multi-Agent Isolation
Self-Hostable
AI-Native Design
Network Policies
Shared File Systems
Full Support
Partial Support
Not Supported
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Zero to Production in Seconds

agent.py
from zeist import Sandbox
from crewai import Agent, Task, Crew
# Create a secure sandbox in milliseconds
sandbox = Sandbox.create()
# Install dependencies
sandbox.run("pip install crewai openai")
# Define your AI agent
researcher = Agent(
role="Research Analyst",
goal="Find market insights",
backstory="Expert analyst..."
)
# Run securely inside the sandbox
result = sandbox.exec(researcher.run())
ZeistDashboard
Live
Active Sandboxes

24

Requests/min

1.2k

Volumes

3 attached

12GB total

CPU

24%

Memory

2.4GB / 8GB

30%
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Usage-Based Pricing

Pay per-second for what you use. Start free with $50 credit.

Free

$0

$50 credit + compute / month

  • 5 sandboxes
  • All features included
  • Per-second billing
  • Add card when credit exhausted
Most Popular

Pro

$199/month

+ compute / month

  • Everything in Free
  • Same per-second pricing
  • Priority support
  • Team collaboration

Enterprise

Custom

Self-host option

  • Deploy to your infrastructure
  • Custom pricing
  • Dedicated support
  • SLA guarantees
Usage Billing:
CPU
$0.000014/sec$0.05/hr
Memory
$0.000002/GB/sec$0.007/GB/hr
Storage
$0.10/GB/mo
Product-Led Growth
Community Adoption
Enterprise Conversion
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The Ask

Pre-Seed Investment Round

Raising

$800K

12-Month Runway

Instrument

SAFE

Fund Allocation

Research & Development50%
Product Development25%
Go-to-Market15%
Operations10%
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Meet the Team

Building the future of AI infrastructure

OBINNA

OBINNA

CEO

Google Award-Winning Engineer for Open Source
4x Cloud Certified: Google Cloud Architect, DevOps, ML Engineer + AWS Solutions Architect Professional
Official Maintainer of ChartMuseum (Helm/CNCF) — 890M+ downloads, used Google, Lyft, Airbnb & Fortune 500s
Core Kubernetes ecosystem contributor working on Batch/AI/ML workloads. Used at Google, Red Hat etc
10+ years at YC startups & unicorns
CHIBS

CHIBS

CTO

7+ years scaling distributed systems to millions of users
Led backend for Meta, British Airways, Qatar Airways, BP
Deep expertise in cloud infrastructure and DevOps
Proven track record shipping production systems at scale

Collective Experience

Google
AWS
Meta
Microsoft

Get in Touch

obinna@clouddley.com
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