01Vector I
Research
Foundational models, agent architectures, and reasoning systems developed in-house.
Schoonhoven Labs
Researching, building, and scaling autonomous companies through a compounding network of intelligence infrastructure.
Scroll01Core
Intelligence,
compounded.
Schoonhoven Labs operates as a venture system — not a traditional company. A central nucleus of research, infrastructure, and capital generates autonomous AI companies and connects them into a network that compounds over time.
06Active nodes
03Operating vectors
∞Compounding loops
02Vectors
Three forces.
Every entity in the ecosystem aligns to one of three vectors. Together they define how intelligence is created, commercialized, and scaled across the network.
02Vector II
Venture
Autonomous companies spun from research — each node a self-sustaining intelligence unit.
03Vector III
Scale
Infrastructure, distribution, and operational systems that compound across the network.
03Network
The living graph.
Portfolio companies exist as nodes. Edges represent shared infrastructure, data flow, and strategic coupling. The graph expands as new nodes emerge — without redesigning the system.
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04Nodes
Portfolio entities.
Each node is an autonomous company within the Schoonhoven Labs ecosystem. Independent in operation, connected in intelligence.
05Doctrine
Operating principles.
01
Autonomy first
We build systems that operate independently. Human oversight is a design constraint, not a dependency.
02
Compound intelligence
Each node strengthens the network. Shared infrastructure, shared learning, shared momentum.
03
Restraint as discipline
We ship when systems are ready, not when markets demand noise. Precision over pace.
04
Design for emergence
The most valuable capabilities cannot be specified upfront. We architect for what we cannot yet predict.
06Signal
Establish contact.
We work with researchers, engineers, and operators building toward autonomous systems. If that describes you, open a signal.
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