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Innovation Lab

AI + Embedded
Custom Product Engineering

If you have an idea and need an end-to-end build — we combine AI/Deep Learning, Embedded Systems and Cloud to deliver a working product.

Active Research & Prototyping

We maintain active laboratory streams experimenting with neural models and edge system architectures.

Visual Stream Classification

Deploying convolutional networks connected directly to optical sensors. Designed for high-concurrency crowd density mapping and structural inspection automation.

YOLOv8TensorRTInference Edge

CrowdGuard AI Pipeline

Our visual threat and flow detection system is compiled to run locally on low-power processing cards. Active pilot runs test latency under 30ms.

Autonomous Agent Infrastructure

Fine-tuning localized language models to automate customer tickets, build smart contract profiles, and manage enterprise databases.

Llama-3RAG PipelinesVector Store

SkillGap AI Engine

Utilizes RAG nodes to audit workforce skills, checking employee credentials against national standards and building custom learning modules.

Embedded Sensor Telemetry

Calibrating ESP32/Raspberry Pi microcontrollers to sync telemetry over low-bandwidth WebSockets networks.

WebSocketsFirmware C++RTOS

Smart Trolley IoT Core

Fuses barcode readers and load cells to calculate live basket contents instantly. Features secure OTP authorization loops over Firebase.

Custom Autonomous Vehicles

Building automated sorting components, autonomous robotic arms, and educational training modules for technical universities.

ROS2KinematicsMotor Controls

MetaJi Spatial Hub

Interfaces physical robotics arms with spatial AR widgets (MetaJi), allowing users to control hardware remotely inside visual environments.

Product Engineering Process

7‑Step Delivery

  • Idea & Requirements
  • Feasibility & Architecture
  • Prototype Development
  • AI / Embedded Integration
  • Testing & Validation
  • Pilot Deployment
  • Scaling & Support

Typical Deliverables

  • Architecture diagram + BOM
  • Prototype firmware + application
  • Cloud + dashboard (if required)
  • Test plan + documentation
  • Deployment + maintenance plan