Long-horizon applied science and deep-tech engineering: Neuromorphic edge chips, Spiking Neural Networks, Project Consciousness, Post-Quantum Cryptography, and Zero-Knowledge sovereign data.
Designing radiation-tolerant Spiking Neural Network (SNN) hardware architectures for real-time edge AI inference onboard CubeSats, operating under a strict 5W power envelope.
A multi-agent AI research framework exploring digital memory preservation, bio-mimetic neural dynamics, and cognitive state emulation models via neuromorphic graphs.
Engineering quantum-resistant cryptographic middleware and crypto-agile communication layers for enterprise databases to resist Shor-algorithm quantum decryption vectors.
Zero-Knowledge computation and homomorphic encryption layers enabling competitive multi-enterprise data collaboration without revealing raw identifiable records.
Next-generation smart citizen grievance redressal, case lifecycle tracking, and cryptographic inter-departmental transparency engines for public safety administration.
Dynamically routing heavy AI inference workloads to geographical edge data centers powered by real-time renewable grid peaks, cutting inference carbon intensity by up to 60%.
We partner with premier research universities, aerospace agencies, and national laboratories on co-authored research papers, hardware testbeds, and production pilot deployments.