Natural Brain Observatory | Exabyte-Scale Neuroscience

// THE PROBLEM

Neuroscience is broken in ways that prevent us from understanding intelligence at scale:

Fragmented data — labs operate in silos; no single org generates structural, neural, and behavioral data together
Idle equipment — ~10% utilization across most facilities
Monopolized hardware — infrastructure controlled by expensive suppliers
Artificial environments — stressed animals in unnatural conditions produce questionable data
Locked algorithms — biological intelligence is inaccessible to the AI systems that could learn from it

// THE OBSERVATORY MODEL

The Natural Brain Observatory is a centralized, automated facility for high-throughput neuroscience. Think of it as cloud computing for brain science—researchers order precisely parameterized experiments through an API, and receive multimodal data streams in return.

Principle	How it works
API-Driven	Order experiments programmatically with precise parameters. No lab access needed.
Shared Infrastructure	Economies of scale reduce per-experiment cost. Utilization jumps from ~10% to near-continuous.
Pooled Data	Each member's contribution grows the dataset. Like collaborative LLM training, but for brains.

// THREE MODALITIES, ONE STREAM

Understanding intelligence requires structural, functional, and behavioral data—aligned in time and space. The Observatory captures all three simultaneously from ethologically valid environments.

Modality	What it captures	Technology
Neural	Intracortical activity, continuous recording	Wireless implants, swappable battery
Behavioral	3D pose estimation in open environments	Multi-camera tracking, 1m arenas
Structural	Connectomics and omics pipelines	Automated tissue processing

// MEMBER BENEFITS

The consortium grows more powerful with each member. Data compounds. Costs decrease. Discoveries accelerate.

Access without lock-out — Guaranteed ongoing access to the facility as it scales
Competitive advantage — Growing datasets enable faster discovery loops and synthetic modeling
IP protection — Drug discoveries and novel findings remain your intellectual property
Ethical research — Maximize data per animal subject across multiple research applications
Grant collaboration — Consortium identifies and supports relevant funding opportunities
Future expansion — Roadmap includes human neural data collection capabilities

// PARADIGM SHIFT

	Traditional	Observatory
Data	Siloed, fragmented	Pooled, multimodal
Utilization	~10%	Near-continuous
Environment	Artificial, stressful	Ethologically valid (1m)
Access	Monopolistic hardware	Open API platform
Modality	Single per experiment	Simultaneous capture
Methods	Manual, irreproducible	Automated pipelines

// EXABYTE SCALE

The facility generates data at a scale previously impossible in neuroscience. This volume unlocks AI-driven dynamics modeling analogous to how LLMs transformed NLP.

Single lab today: ~1 GB per experiment, sporadic collection
Observatory near-term: terabytes per day, continuous streams
Consortium scaled: petabyte-class pooled datasets
Target: 1 exabyte — 10^18 bytes of aligned, multimodal brain data

// JOIN THE CONSORTIUM

We are seeking founding members to build the infrastructure layer for intelligence science. Data grows more valuable with each new member. Early access ensures you are not locked out as the observatory scales.

Neuroscience hardware and methods companies
Pharmaceutical organizations seeking reproducible data
Research institutions and university labs
Investors seeking centralized intelligence science infrastructure

Contact: contact@netholabs.com