AI-Native Venture Studio

Building companies with agentic systemsand intelligent orchestration

A venture studio building AI and automation systems for next-gen infrastructure.

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Technical Excellence

From Design to Infrastructure

System DesignPython
class AgenticSystem:    def __init__(self):        self.model = "agnostic"        self.orchestrator = Orchestrator()     async def execute(self, task):        # AI-native execution        result = await self.orchestrator.run(            task,            autonomous=True        )        return result
Intelligent
InfrastructureTypeScript
interface VentureConfig {  stack: 'AI-native';  systems: 'agentic'[];  orchestration: boolean;} const venture = {  infrastructure: 'next-gen',  automation: true,  scalable: true,  intelligent: true};

Architecture

Our Approach

Model-agnostic orchestration that adapts to any LLM, tool, or workflow

Input Layer

Multi-modal inputs: text, code, data, APIs

Orchestrator

Intelligent routing and task decomposition

Agent Pool

Specialized agents for different tasks

Model Layer

Model-agnostic: GPT, Claude, Llama, custom

Tool Registry

APIs, databases, external services

Output Layer

Autonomous execution and results

Central Orchestrator
Processing Layer
Data Flow

Our Expertise

What We Build

AI-Native Companies

Building companies from the ground up with AI at the core

Agentic Systems

Autonomous systems that can reason, plan, and execute independently

Intelligent Orchestration

Coordinating complex workflows with AI-driven decision making

Next-Gen Infrastructure

Scalable, model-agnostic platforms for modern AI applications

Our Process

How We Build

01

Ideate

Identify high-impact opportunities where agentic AI can create transformative value

We analyze market gaps, technical feasibility, and competitive dynamics to find problems uniquely suited for AI-native solutions.

02

Architect

Design model-agnostic systems with intelligent orchestration from day one

We build flexible architectures that can swap LLMs, integrate new tools, and scale autonomously without technical debt.

03

Build

Develop production-ready agentic systems with autonomous execution capabilities

Our engineering teams build robust, scalable systems that can reason, plan, and take action independently.

04

Scale

Launch and grow AI-native companies with continuous improvement loops

We provide ongoing support, iterate based on real-world feedback, and scale successful systems across use cases.

Portfolio

What We're Building

AI-native ventures currently in development across infrastructure, automation, and platforms

InfrastructureIn Development
01

AI Infrastructure

Stealth Mode

Next-gen AI infrastructure for autonomous systems. Building the backbone for intelligent orchestration at scale.

Cloud-NativeMulti-ModelAuto-Scaling
AutomationPrivate Beta
02

Agentic Workflows

Coming Soon

Autonomous workflow engines that plan, execute, and adapt. Self-improving systems for complex business processes.

LLM-PoweredSelf-HealingTask Routing
PlatformComing Soon
03

Automation Platform

Launching 2025

End-to-end automation platform with intelligent decision-making. Model-agnostic architecture for enterprise AI.

Enterprise-ReadyAPI-FirstModular

Technology

Our Stack

AI-NativeAgentic SystemsModel-AgnosticIntelligent OrchestrationPythonTypeScriptCloud InfrastructureAutonomous Execution

By The Numbers

Building at Scale

0+

Companies Building

Active ventures in development

0+

Systems Deployed

Production agentic systems

0+

Models Integrated

LLMs in our model-agnostic stack

0K+

Lines of AI Code

Purpose-built infrastructure

Growing every day

The Team

Meet the Founders

Operators who've scaled to 100K+ users, with experience at Waymo, Scale AI, and top research labs

Sophie Ow

Sophie Ow

Founder & CEO

GTM, Operations & Scaling

Serial founder who scaled Procreation AI to 100K+ users in Web3/AI. Former Waymo, where she built recruiting operations and automation systems saving $250K+ annually. TalentMage reached top 5% of YC applicants. Proven track record of 0→1 execution and GTM strategy.

Ex-Waymo100K+ Users ScaledSerial Founder
Nathan Pope, Ph.D.

Nathan Pope, Ph.D.

Co-Founder & CTO

ML Infrastructure & Architecture

Ph.D. researcher applying ML to complex systems at scale. Former Scale AI, building data infrastructure for Fortune 500 AI deployments. Published author with deep expertise in production ML systems, model optimization, and distributed architecture.

Ex-Scale AIPh.D. ML/AIHarvey Mudd

Want to build with us? Get in touch

Got Questions?

Frequently Asked Questions

A venture studio creates companies from scratch, providing capital, expertise, and resources to build and launch new businesses. Unlike traditional VCs, we're hands-on builders who work alongside founders from day one.

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