Doe

Based in San Francisco, California, Doe is an artificial intelligence work platform that deploys autonomous agents to automate enterprise workflows, build reports, and manage data. The company operates as an applied AI laboratory focused on developing advanced data analyst capabilities that integrate across more than 40 different software tools. Designed to replace standalone generative AI applications like ChatGPT and Claude, the platform provides an integrated technology stack for complex data execution and analysis. Operating with a dedicated team of four employees, the business utilizes a SaaS subscription model featuring tiered pricing, including a professional tier priced between $225 and $250 per user per month. The system includes advanced administrative controls such as SSO capabilities, comprehensive audit logs, and dedicated technical support for corporate teams. Doe was founded in 2025 by Adrian Barbir and Richard Ou.

High-Level Overview

Doe is an autonomous AI workforce platform designed specifically for private equity (PE) roll-ups, embedding AI agents into PE-owned companies to automate operational tasks such as procurement, approvals, scheduling, and analytics. Its mission is to transform knowledge work by enabling AI agents to execute actual work—pulling data, updating records, sending messages, and running workflows—thereby augmenting human workers and improving operational visibility and efficiency. Doe serves PE firms and their portfolio companies by reducing tedious manual tasks and enabling faster, more accurate business operations. This innovation impacts the startup ecosystem by accelerating the adoption of autonomous AI in enterprise operations, particularly in sectors where PE roll-ups are common, such as finance, operations, and sales[1].

Origin Story

Doe was founded recently by Adrian and Richard, who have been building the platform over the past several months. The idea emerged from the recognition that knowledge work is evolving beyond AI simply answering questions to AI autonomously performing work tasks overnight, such as reconciling expenses and flagging at-risk deals. Early traction includes building enterprise-grade features like SOC 2 Type II compliance, HIPAA readiness, zero data retention with LLM providers, and integration with enterprise security protocols (SSO, SCIM, audit logging), signaling a strong focus on secure, scalable deployment in sensitive business environments[1].

Core Differentiators

• Autonomous Execution: Unlike typical AI chatbots, Doe’s agents perform real work actions across connected tools and systems, not just provide answers.
• Enterprise-Grade Security: SOC 2 Type II certification, HIPAA readiness, and strict data privacy measures.
• Integration and Workflow Automation: Agents connect multiple enterprise systems to automate workflows end-to-end.
• Augmentation, Not Replacement: Designed to work alongside humans, accelerating tasks like data reconciliation, deal monitoring, and reporting.
• Focus on PE Roll-ups: Tailored to the operational complexity and scale of private equity-owned companies, improving visibility and control across portfolio companies[1].

Role in the Broader Tech Landscape

Doe rides the wave of agentic AI—autonomous AI agents capable of executing complex, multi-system workflows without human micromanagement. This trend is reshaping workforce planning and operational execution by enabling continuous, real-time task automation and decision support. The timing is critical as PE firms seek scalable, cost-effective operational improvements across their portfolio companies, and enterprises increasingly demand AI solutions that go beyond passive assistance to active execution. Doe’s approach aligns with broader market forces favoring automation, workforce augmentation, and AI-driven operational resilience[1][3][6].

Quick Take & Future Outlook

Doe is positioned to become a key enabler of autonomous operational workforces in the PE sector and beyond. Future growth will likely involve expanding agent capabilities, deeper integration with enterprise systems, and scaling adoption across more PE firms and industries. Trends such as increasing AI adoption in workforce planning, real-time operational analytics, and agent orchestration will shape Doe’s trajectory. As autonomous AI agents become standard in enterprise workflows, Doe’s influence could extend to redefining how knowledge work is performed at scale, making it a foundational platform for the AI-augmented enterprise of the future[1][3][6].