Path A · Investors
Everyone is building the body. We're building the brain.
A spiking neural network that learns continuously, with mechanisms designed to protect old skills while learning new ones, and is designed to run on a fraction of the power of today's AI. The brain is real and training right now. The body is what we build next, with you.
1.16M neurons 814M synapses Patent pending
Market signals
Why now
The market is moving beyond LLMs.
The biggest names in AI agree.
But their solutions still have the same old problems.
- March 2026
Yann LeCun's AMI Labs raises $1.03B for "world models"
The Turing Award winner left Meta to build JEPA, world models that go beyond LLMs. Nvidia, Toyota, Samsung, Jeff Bezos invested. The thesis: LLMs are not enough for robots.
- June 2026
Jeff Bezos's Project Prometheus raises $12B at $41B valuation
Bezos + Vik Bajaj as co-CEOs. JPMorgan, Goldman Sachs, BlackRock in. Founding advisors include Ashish Vaswani and Jakob Uszkoreit, two of the original "Attention Is All You Need" authors. Pitched as "physical AI" for industrial design and manufacturing. Wall-Street-scale capital is now pouring into physical AI.
AMI and Prometheus both still train on GPU clusters, still deploy frozen models, still can't learn on-device, and still have no answer for catastrophic forgetting. OSCEN is designed to answer all four.
The energy problem
Robots need intelligence that runs on batteries,
not data centers.
Current AI is unsustainable for edge deployment.
Event-driven compute only runs when neurons fire,
not idle GPU cycles.
The architecture is ready; the compute layer is catching up.
1 watt = 1 joule per second. LLM figures are energy per interaction (~0.3 Wh and ~0.24 Wh converted to joules); robot brains draw power continuously.
Patent protection
The architecture is protected.
The IP moat is real.
Full-Stack IP Portfolio
Filed Feb & Oct 2026 · USPTO
US 63/986,737
Filed Feb 20, 2026Core Neuromorphic Cognitive Architecture
Integrated 6-mechanism biological learning, 5 developmental critical periods, multi-compartment dendrites, cross-modal binding, and hybrid SNN-LLM oracle.
US 64/184,488
Filed Oct 26, 2026Body-Agnostic Robotics & Safety Kernel
Self-describing robot interface, per-body hardware safety arbitration, cross-body skill transfer, demonstration teaching, governed self-modification, and physical reflexes.
US 64/184,586
Filed Oct 26, 2026Reward-Credit, Vector-Credit & Verification
Credit-gated consolidation, routed dopamine, typed aversive learning, extended 6-channel neuromodulation, vector-credit motor control, and causal verification batteries.
US 64/184,614
Filed Oct 26, 2026Neuromorphic Silicon, Photonic & 3D Hardware
Developmental synaptic compression, 3-tier thalamic capsule paging, quantum-on-chip stochastic plasticity, split PQC + PUF security, photonic WDM, and 3D bare-die packaging.
Foundation Architecture Claims (US 63/986,737)
Claim 1
Integrated Multi-Mechanism Learning
6 learning rules operating simultaneously across the network
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
What's built
This is not a pitch deck.
The brain is running.
Commitment
Built with
conviction.
Deep domain knowledge across computational neuroscience, distributed systems, sparse linear algebra, and real-time sensor fusion. The architecture runs on CPUs today and the brain is actively training. Funding continues the build, opens partnerships with low-power compute providers, and gets us to purpose-built edge deployment.
Use of funds
What funding
enables.
Team
The people
building OSCEN.
Deep expertise on the architecture, paired with the operational footing to scale it.
Rio Bold
Cofounder & Architect
Marine Corps veteran. 13 years of professional software engineering across multiple Fortune 500 companies, building AI integrations, enterprise business processes, and full-stack systems at scale. Combined with nearly a decade of independent research in computational neuroscience, distributed systems, and real-time sensor fusion.
5 years of planning and architectural design, then 7 months of focused build to bring the complete OSCEN architecture from concept to 1M-neuron deployment.
Domain expertise: Spiking neural network theory, STDP/BCM learning rules, sparse matrix computation (CSR/COO), real-time event-driven systems, neuromorphic hardware constraints (Loihi, SpiNNaker), robotic motor control, and sensor fusion pipelines.
Every architectural decision. Every learning mechanism. Every line of code. Sensory gateway, brain simulation, motor output, cognitive action channel, speech motor, developmental phases, persistence layer, monitoring pipeline, and 5,000+ automated tests.
Adam Hamersky
Cofounder & Operations
Marine Corps veteran with a record of leading people and running fleets under pressure. Served as Chief Motor Pool Dispatcher for the 7th Marine Regiment, coordinating personnel, vehicles, and mission readiness against tight operational windows.
Brings that same discipline and mission focus to building the brain that will move the next generation of robots, turning architectural ambition into a fundable, hireable, deployable company.
Operating focus: fleet logistics, program management, partnership development, and the operational footing required to take OSCEN from research artifact to commercial deployment.
Every operational decision. Every hire. Every milestone. The mission discipline that keeps the build on track.
Robert Robancho
Partner, Intelligence & Threat
Marine Corps veteran with a record of evaluating and neutralizing asymmetric threats in high-stakes environments. Built foundational expertise in tactical military intelligence, reading adversary intent under time pressure and translating ambiguous signals into defensive posture.
Transitioned to the consulting sector as an analyst at Deloitte, where he led complex operational logistics and data tracking for United States Space Force contracts. Recognized with the 2026 Charlie Allen Achievement Edwin Land Industry Award for outsized impact on the national security mission.
Operating focus: intelligence frameworks, threat modeling, OPSEC discipline, security clearance management, and hardening emerging physical AI platforms against modern vulnerabilities. Bridges ground-level tactical realities with high-level strategic intelligence.
Every intelligence assessment. Every threat surface. Every hardened deployment. The OPSEC discipline that keeps the architecture defensible from day one.
Sully Regmi
Research Scientist
Neuroscience and emotion-science researcher. Holds a degree in neuroscience. Studies how emotion and social judgment arise from neurocognitive processes at UC Santa Barbara's Yu Emotion Science Lab, with earlier work on visual attention and eye-tracking at UCSB's Vision and Image Understanding Lab. Brings that grounding in how the brain processes signals together with a machine-learning practice across natural language processing and computer vision.
On the OSCEN team, contributes on the speech and language side, connecting how biological auditory and speech-motor pathways learn to the platform's spiking implementation, and supporting the research program and experimental validation.
Research focus: natural language processing, computer vision, emotion and affective modeling, and reproducible evaluation of the learning system.
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