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The opportunity
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Neuromorphic computing is the next platform shift. OSCEN is the first patent-protected brain architecture built for real-world robots.

Investment Thesis

Every robot will need a brain. Today's AI is built on frozen transformers trained on massive datasets that can't learn from experience, can't run on edge hardware, and can't adapt in real time.

OSCEN is building the brain that can. A neuromorphic architecture with 6 patented learning mechanisms that grows through developmental phases, modeled on biological brain development.

The market is early. The hardware wave is coming. And no one else is building this.

Market signals

Neuromorphic computing investment is accelerating.

$200M+

Neuromorphic VC in 2025

3× increase from 2024

$1.4T

Robotics market by 2030

Goldman Sachs estimate

73–109×

Energy advantage

SNN vs GPU on neuromorphic HW

SNN robotics competitors

Commercial deployment

The energy problem

Current AI is unsustainable for edge deployment. Robots need intelligence that runs on batteries, not data centers.

GPT-4o Epoch AI, 2025

~0.3 Wh per query

Gemini Google official

~0.24 Wh per prompt

GPU Robot Brain Industry standard

50–200W continuous

OSCEN (Loihi target) Intel benchmarks

<5W continuous

Neuromorphic hardware computes only when neurons fire, not idle GPU cycles. The architecture is ready; the hardware is catching up.

Patent protection

The architecture is protected. The IP moat is real.

Patent Pending US 63/986,737 Filed February 20, 2026

Claim 1 Integrated Multi-Mechanism Learning

6 learning rules operating simultaneously every step across all synapse groups

Claim 2 Developmental Critical Periods

5 phases with experience-dependent adolescent entry: pruning, myelination, identity

Claim 3 Hybrid SNN-LLM Architecture

Brain learns when to query external knowledge through emergent STDP, not hardcoded rules

Claim 4 Cross-Modal Binding

Arbitrary sensor modalities bind through spike-timing coincidence with multiplicative instinctual gain

Claim 5 Multi-Compartment Dendrites

4 compartments per neuron with independent dynamics and supralinear dendritic spikes

Claim 6 Neuromodulatory Continual Learning

Eligibility traces + homeostatic scaling + myelination enable learning without forgetting

258

Prior art patents searched

Overlapping claims found

Continuation patents planned

What's built

This is not a pitch deck. The brain is running.

1,001,800 Spiking neurons

11 brain regions. 24 synapse groups. Sensory, motor, association, prediction, working memory, all connected and learning.

1.19B Synapses

Sparse CSR matrices. Eligibility traces on every group. BCM, neuromodulation, and synaptic scaling active system-wide.

7 months Solo development

Complete architecture built by one founder. Sensory gateway, brain, motor output, cognitive action, speech motor. All working.

24/7 Continuous training

Enterprise-grade 32-core server with 256 GB RAM. Processing a 403-video curriculum around the clock. Currently entering the juvenile developmental phase.

6 Learning rules

All running simultaneously every simulation step. STDP, eligibility traces, BCM, neuromodulation, homeostatic scaling, R-STDP.

5 Developmental phases

Infant → Toddler → Juvenile → Adolescent → Mature. Phase transitions are experience-dependent, not hardcoded.

Training live · Juvenile phase · 403-video curriculum

Built with conviction

3,500+ hours

Dedicated R&D

7 months

Continuous development

1 person

Team size

Full-stack

Expertise

Deep domain knowledge across computational neuroscience, distributed systems, sparse linear algebra, and real-time sensor fusion. This level of cross-disciplinary understanding is what makes the architecture work.

What funding enables

Neuromorphic hardware

Intel Loihi 2 or SpiNNaker2 deployment. Move from CPU simulation to purpose-built silicon. 73–109× energy reduction.

Robotics integration

Physical robot body. Camera, servos, touch sensors. Close the full sensorimotor loop with real-world feedback.

Team expansion

Computational neuroscientist, robotics engineer, hardware specialist. Three hires transform timeline from solo → production.

Patent portfolio

Non-provisional filing by Feb 2027. 20 continuation patents covering hardware mapping, fleet learning, safety architecture.

Benchmarks & papers

Formal evaluation on standard robotics tasks. Published results for academic credibility and partnership conversations.

Founder

Jay Balderas

Founder & Sole Developer

info@oscen.ai LinkedIn

Built the complete OSCEN architecture, from spiking neuron model to 1M-neuron deployment, in 7 months of solo development. Sensory gateway, brain simulation, motor output, cognitive action channel, speech motor, developmental phases, and training pipeline. Every line of code. Every architectural decision. Every patent claim.

The brain is built. The patent is filed.
Now it needs fuel.

Get in touch Read the architecture

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The opportunity in intelligence.