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Turning biodiversity

into brain medicine with

computer vision AI.

HELLO@PLATEABIOSCIENCES.COM
DECODING NEUROCHEMICAL FRONTIERS
FOR NEXT-GENERATION BRAIN MEDICINE.

©2026
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New brain medicine

is hidden in biodiversity.

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Platea is built to find it.

Access
Exclusive, ABS-compliant biodiversity partnerships
Infrastructure
Modern on-site in-vivo phenotyping & chemical analysis
Measurement
AI-native, systems-level behavioral decoding
Interpretation
Mechanism inference before target identification
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The only CNS-native
discovery node embedded

In the Andes-Amazon corridor

Discovery happens
where the chemistry lives

The only CNS-native
discovery node embedded

In the Andes-Amazon corridor
Closed-loop operational system
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Biology is interrogated in-region, decoded
in real time, and advanced only if signal survives CNS-native interpretation.

Each experimental pass informs the next sampling decision.

Platform Overview
Two evolutionary funnels

Two independent evolutionary solutions to nervous system modulation decoded by one engine.

Neuroethnobotanical
Intelligence

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Funnel
01.

Millennia of human selection enriched plant chemistry for:
↘ BBB penetration
↘ Behavioral activity
↘ Polypharmacologic CNS modulation


This constitutes a human-encoded CNS prior.

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Strength:

High translational relevance.


Clear behavioral signal.

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Endemic Amphibian
Neurochemistry

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Funnel
02.

Amphibians evolved vertebrate-targeted chemical defenses enriched for:
↘ Ion-channel modulation
↘ GPCR activity
↘ Neuroimmune signaling
↘ Nociception

These compounds represent extreme molecular novelty in CNS-relevant space.

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Strength:

Peptide-rich. Mechanistically novel.


First-in-class potential.

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Together, these funnels generate CNS-enriched input space the rest of the industry does not screen.

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Together, these funnels generate CNS-enriched input space the rest of the industry does not screen.

AI-Native Architecture:
Phenotype-first discovery

AI is embedded directly into phenotypic discovery, not layered on afterward

L1: Evolutionary input selection
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L1: Evolutionary input selection

Pre-enriched CNS biology enters the system from both
evolutionary funnels.

L2: AI-native behavioral phenotyping (Brian AI™)
From raw video, AI learns:
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L2: AI-native behavioral phenotyping (Brian AI™)
From raw video, AI learns:

↘ Low-to-High-dimensional behavioral structures
↘ State transitions and network-level dynamics
↘ Modulation vs toxicity separation
↘ CNS-relevant effects before purification or target knowledge

L3: Pharmacobehavioral reference mapping

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L3: Pharmacobehavioral reference mapping


Unknown biology is triangulated against a growing CNS pharmacological
reference space to:

↘ Infer mechanism
↘ Prioritize novelty
↘ Advance only clean signals

AI interprets phenotype; biology explains it.


AI does not invent chemistry.

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BRIAN AI™

The human-interpretable AI
for BRAIN medicine discovery

Behavior-first decoding engine purpose-built for discovery. Developed by the creator of SimBA, the world’s most widely adopted behavioral AI platform. SimBA link

Why This Matters
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↘ CNS discovery depends on resolving subtle, multidimensional behavioral effects
↘ Most AI systems cannot distinguish:

Therapeutic modulation
Sedation
Toxicity

↘ Brian AI is trained specifically for noisy, polypharmacologic biology

Brian AI™ Capabilities
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↘ Purpose-built and continuous retraining
on novel evolutionary chemistry

↘ Pharmacobehavioral reference mapping
for mechanism inference

↘ Cloud-native pipelines
for rapid iteration across discovery cycles

Scientific Lineage
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↘ >2 million downloads
(SimBA lineage)

↘ Hundreds of peer-reviewed publications

↘ Used across genetics, pharmacology, and circuit perturbation studies

↘ Provides scientific and technical foundation
for Brian AI’s decoding stack.

1/3
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Without CNS-trained decoding, biodiversity-derived neurochemistry collapses into noise.

Leadership & Advisors

Founding Executives ↘

Eric Szelenyi, Ph.D.

Neuroscientist and platform architect. Founder of Platea and creator of the CNS-native biodiversity discovery thesis. Former faculty (UW Neurobiology & Biophysics). Leads platform strategy, translational direction, and institutional partnerships.

Simon Nilsson, Ph.D.

Creator of SimBA, the world’s most widely adopted behavioral AI platform (>2M downloads). Leads Brian AI™ architecture and scalable behavioral decoding for CNS discovery.

Scientific Advisors ↘

Trevor Robbins, Ph.D.

Global authority in behavioral pharmacology and translational CNS neuropsychopharmacology.

Sam Golden, Ph.D.

Leader in preclinical CNS disease modeling and behavioral phenotyping.

Ian Covert, Ph.D.

Expert in explainable
and interpretable machine learning for high-stakes
biological systems.

Jason Tucciarone,
MD Ph.D.

Physician-scientist focused
on psychiatric disease biology and clinical translation. Aligns Platea’ preclinical discovery pipeline with clinically meaningful signal selection.

Jaime Costales, PhD.

Leads institutional and in-region
scientific governance.

Hugo Navarrete, PhD.

National authority in ethnobotany
and biodiversity documentation
supporting discovery
prioritization.

Business Advisors ↘

Martin Akerman, Ph.D.

Advises on platform architecture
and long-term discovery strategy.

Ken Graves, MBA.

Advises on pharma partnership
design, commercialization
strategy, and global expansion.

Gary Ambrosino, MBA.

Advises on Brian AI™ platform
scaling, operational cadence
and investor-ready
growth systems.