About OneCrew
Our Mission
Building an independent business should not mean being entirely alone. We are democratizing the executive team experience — giving every solopreneur a Chief of Staff and a dedicated execution crew through advanced AI.
The Story
OneCrew was born from a simple realization: the tools we use to manage our work are passive. We didn't need another kanban board — we needed a colleague who proactively calls, asks what matters today, and takes the busywork off our plates.
Founders
15+ years in leadership development, coaching and organizational design. Translates the psychological reality of solopreneurs into product.
10+ years building product and AI agent systems. Owns the conversational video layer and the multi-agent orchestrator.
12-Month Roadmap
Validate
Closed beta with selected solopreneurs. Lock in the standup ritual, ICP and core agent set.
Build
Public PWA, expanded agent crew (sales, content, projects) and persistent business memory.
Scale
Open access, partner integrations and a marketplace of specialist agents on top of OneCrew.
How OneCrew is built.
A purpose-built stack for proactive, multi-agent management — designed for low latency, privacy and compounding memory.
Conversational Video (CVI)
Sub-500ms video interface that feels like a real colleague, not a chatbot.
Dialogue Engine
Structured standup flow that turns natural speech into priorities, decisions and tasks.
Orchestrator
A supervisor agent that routes work across specialists with shared business context.
Multi-Agent Crew
Specialist agents for sales, content and projects — each with their own tools and memory.
Memory Layer
Private, structured memory of your business that gets sharper with every standup.
Defensibility
- Ritual-as-Product — behavioral lock-in beyond raw model access
- Proprietary orchestration across agents and tools
- Conversational video infra hard to replicate at <500ms
- Compounding private business memory per customer
EU-hosted infrastructure. GDPR-aligned by default. Voice transcribed and discarded; business data never used to train foundation models.