Flagship Deep-Tech Engineering Projects
These project tracks demonstrate our ability to take advanced theory and translate it into functional hardware and edge systems.
Local Edge AI Chatbot (Institutional LLM)
The Challenge: Universities and enterprises face strict data privacy rules and recurring costs when sending internal documentation to public cloud-based LLM APIs.
The Solution: An on-premises conversational intelligence appliance that performs zero-latency vector searches over institutional handbooks, syllabus databases, and internal policies without routing bytes over public external networks.
Deploy Local AI for Your InstitutionTechnical Architecture
- Embedding Layer: Document chunking and local high-dimensional vector generation.
- Inference Engine: CPU/Edge-accelerated 4-bit/8-bit quantized LLM weights.
- Privacy Assurance: Strictly 100% offline; zero external network egress during queries.
- Deployment Cost: Zero recurring API token subscriptions.
Communication Subsystems
- Ad-Hoc Wireless Mesh: Sub-second broadcast beacons over 2.4GHz RF and LoRa.
- CAN-Bus Intercept: Real-time extraction of wheel speed, brake pedal state, and steer angle.
- Collision Warning Matrix: Algorithmic forward time-to-collision warning algorithms.
- Latency Profile: Under 25ms end-to-end warning propagation between units.
Vehicle-to-Vehicle (V2V) Communication
The Challenge: Blind spots and delayed braking reactions in multi-vehicle factory convoys and autonomous test tracks cause preventable collisions.
The Solution: Short-range ad-hoc wireless mesh units that broadcast real-time telemetry between moving platforms, providing collision warnings before obstacles are physically visible.
Consult on V2V IntegrationGPS-Denied Autonomous Inspection UAV
The Challenge: Inspecting indoor warehouses, boiler furnaces, and underground pipelines where satellite signals cannot penetrate, rendering standard drone position-hold useless.
The Solution: An autonomous quadcopter leveraging down-facing optical flow vision odometry and high-frequency LiDAR rangefinding to achieve stable hovering and obstacle avoidance indoors.
Inquire on Confined Drone SystemsNavigation & Sensor Fusion
- Position Hold: Real-time optical displacement tracking over floor textures.
- Altitude Retention: Millimeter-accurate LiDAR surface reflection measurements.
- Companion Computer: Processes safety overrides and companion diagnostics.
- Industrial Target: Boiler furnace tubes, high-voltage tunnels, and mines.