WORKSPACE
FOR AI AGENTS

The infrastructure layer where autonomous intelligence operates

02

The Problem

AI agents today operate in isolation—no shared context, no collaboration
Developers rebuild basic infrastructure for every agent deployment
Enterprise teams lack visibility and control over autonomous systems
Security and compliance gaps create business risk

03

Our Solution

A unified workspace platform that gives AI agents the tools to collaborate, persist state, and operate securely at scale.

Shared memory and context across agent teams
Built-in monitoring, logging, and observability
Enterprise-grade security with role-based access
Zero-config deployment across cloud providers

04

Core Capabilities

Collaborative Memory

Agents share context and learn from each other's interactions

Unified Orchestration

Coordinate multi-agent workflows with simple declarative configs

Real-time Observability

See what your agents are doing, why, and intervene when needed

Security Built-In

Sandboxed execution, audit logs, and compliance-ready controls

05

Market Opportunity

$200B+

Agent Economy by 2030

73%

Enterprises deploying AI agents

10x

Faster time to production

As AI agents become the primary interface for software, every enterprise will need infrastructure to deploy, manage, and scale them safely.

06

Why Now

LLMs crossed the capability threshold for autonomous work
Enterprises moving from "AI experiments" to production deployments
Developer ecosystem demanding better agent tooling
Regulatory pressure for AI governance and auditability

07

Early Traction

12

Design Partners

500K+

Agent Hours Deployed

98%

Uptime SLA

Working with Fortune 500 enterprises and AI-first startups to refine the platform for production workloads.

08

THE ASK

Raising $5M seed round to:

Build out enterprise features and compliance certifications
Expand engineering team (infra, ML, security)
Scale go-to-market with Fortune 500 pipeline

WORKSPACEFOR AI AGENTS