NeuralDust — Neuromorphic Edge Sensing
Feasibility study and prototype for distributed neuromorphic sensor networks with ultra-low energy profiles.
Real problems. Real solutions. Real results. Here's a selection of what we've built and researched.
A real-time AI-powered analytics platform that ingests clinical and operational data streams, surfaces anomalies, and generates actionable recommendations for hospital operations teams. We built custom transformer models trained on domain-specific healthcare data, with an explainability layer required by compliance.
A research collaboration implementing and benchmarking NIST-approved lattice-based and hash-based signature schemes against quantum adversaries. We produced a production-ready cryptographic library, a migration toolkit for classical RSA/ECC systems, and three peer-reviewed publications.
Cross-platform health app with on-device ML for symptom analysis, medication reminders, and teleconsultation integration. The on-device inference engine runs TensorFlow Lite models with no server round-trip, ensuring privacy-first health data handling for 200K+ active users.
Feasibility study and prototype for distributed neuromorphic sensor networks with ultra-low energy profiles.
LLM-powered document analysis platform for clause extraction, risk flagging, and comparison across large contract volumes.
React Native app with AI-powered cash flow forecasting and automated bookkeeping integration for small businesses.
Tell us what you're building and we'll tell you how we'd approach it — no obligation.