We are moving intelligence from the centralized cloud to the edge.
Privacy. Instant Latency. Total Autonomy.
The cloud-centric era of AI is hitting a wall. Massive energy costs, privacy risks, and latency bottlenecks are creating an unassailable strategic advantage for the company that claims the edge.
Data never leaves the device. Essential for **HIPAA-compliant healthcare** and enterprise secrets. Eliminates the risk of centralized data breaches and surveillance capitalism.
The speed of light is a hard limit. Local inference removes network round-trips, enabling millisecond response times critical for robotics, drones, and real-time biometric alerts.
Shifting from CAPEX-heavy cloud GPUs to distributed consumer hardware (NPUs). No per-token API fees, no massive cooling bills, and functional operation in offline environments.
By 2026, 60% of consumer devices will be AI-capable. Our software stack prioritizes local NPU execution for 95% of tasks, creating a "privacy-walled" ecosystem impossible for cloud-native competitors to replicate.
1.58-BIT TERNARY WEIGHTS
Traditional LLMs use 16-bit floating point numbers (FP16). We utilize a radical new architecture where every parameter is constrained to just three values: {-1, 0, 1}.
This isn't just compression; it's a paradigm shift. We are decoupling intelligence from computational cost, making powerful AI viable on battery-powered devices.
Unlike post-training quantization which degrades quality, BitNet is trained from scratch in low precision, maintaining high-fidelity reasoning.
Our models are optimized for the latest consumer silicon—Apple Neural Engine, Qualcomm Hexagon, and NVIDIA Orin—unlocking "server-grade" AI on battery power.
Most medical AI is built for enterprise-scale HMOs, leaving small-to-medium practices with "cut-down" tools that ignore the daily realities of independent medicine. NexusMD is different: built using the clinical experience of our partners to solve the specific bottlenecks of the private specialist.
By leveraging locally-hosted, fine-tuned multimodal models, NexusMD automates the administrative burden while enhancing clinical precision—all within a strictly HIPAA-compliant local environment.
Streamlines insurance claims and intelligently drafts appeals. It learns from practice-specific documentation to reduce denials and recapture lost revenue.
Automatically updates patient information across disconnected SaaS applications, ensuring data consistency without manual double-entry.
Vision-language models assist clinicians in interpreting diagnostic imaging and generate automated, patient-friendly summaries of complex results.
Deployment Phase: Specialist Clinics (SE Michigan) • Scalable to All Independent Practices
"Agentic visual reasoning for the unstructured world."
Modern logistics is crippled by connectivity dead zones. AeroScan deploys autonomous drones with local reasoning capabilities. They don't just see; they understand—identifying unlabelled parts without Wi-Fi or GPS.
Software logic that lands drones to scan high shelves, saving battery.
Identifies items by geometry and texture, not just barcodes.
Drones collaborate locally to resolve ambiguous items.
Vision-Language-Action models running on-chip.
Pioneering the next platform shift in artificial intelligence.
Principal Investigator
Leading the architectural pivot towards high-fidelity, edge-native models. Focused on data curation and efficient training methods to combat linguistic collapse in AI.
Principal Investigator
Spearheading the strategy for decentralized intelligence and the shift from cloud-dependency to user-owned cognitive tools.
COO
Master’s in Public Policy. Specialist in group leadership and logistics. Dedicated to fostering innovation through proper support.