AI & ML interests
🎯 Primary Research Interests Model Quantization & Compression: Specifically focused on 1-bit architectures and binarized neural networks (BNNs) for extreme optimization. Edge Intelligence (TinyML): Deploying high-performance models on resource-constrained hardware and IoT devices. Systems-Level AI Integration: Researching the interface between proprietary operating systems (STRUCT OS) and deterministic AI execution. On-Device Computer Vision: Real-time spatial intelligence and object detection optimized for the "Intelligent Edge." Privacy-Preserving Local AI: Developing secure, locally-hosted assistants (Lucy) that function without cloud dependency.
Recent Activity
Logihertz Systems
Precision • Performance • Protection
Organization Profile
| Legal Entity | Logihertz Systems (OPC) Private Limited |
| Incorporation | December 23, 2025 |
| Registration IDs | DPIIT Recognized Startup | GST: 27AAGCL6394P1ZL |
| Incubation | Indala College of Engineering (MOU Partner) |
Strategic Ecosystem
☁️ AWS Activate Founders
Cloud infrastructure powered by AWS Founders credits, enabling high-performance AI model training and secure deployment.
🎓 Academic Synergies
Sourcing top-tier engineering talent through our physical incubation and internship pipeline at Indala College.
Core Projects & Research
STRUCT OS: Our proprietary Operating System engineered for deterministic execution and hardware-level AI efficiency.
Nyra: State-of-the-art 1-bit AI model architecture designed for extreme optimization and deployment on edge hardware.
Lucy: A secure, locally-hosted AI assistant developed for private organizational intelligence and automation.
Intellectual Property & Licensing
Logihertz Systems operates under a tiered licensing model to protect our core innovations while supporting open-source growth:
- Open-Source Artifacts: Generally released under the Apache 2.0 License unless otherwise specified.
- Proprietary Core (STRUCT OS / Nyra): Closed-source intellectual property. Commercial usage requires a formal EULA.
- Research Datasets: Provided under CC BY-NC-SA 4.0 for non-commercial academic and peer review use.
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