Edge AI & Data Analytics
We Add Intelligence
We Add Intelligence
to Your Hardware
Whether the intelligence runs on the device or analyzes data in the backend — we turn signals from cameras, microphones, and sensors into real decisions.
- On-device AI that works without internet
- Data acquisition from any sensor — camera, mic, or signal
- Backend analytics, dashboards & alerts
- Custom-built for your exact use case
Full-Stack AI Development for Hardware Products
We don't just train models — we build the entire AI product stack, from custom hardware to deployed intelligence, under one roof.
Our AI Expertise Includes:
- Edge Deployment - Models optimized via quantization, pruning & TinyML to run on embedded hardware
- Multi-Sensor Data Acquisition - Collect data from cameras, microphones, and sensors of every kind
- Backend AI Analytics - Log, process & analyze sensor data at scale with custom models
- Hardware Co-Design - PCB, firmware & AI model developed together for optimal performance
- Dashboards & Alerting - Real-time visualization, notifications & control panels
- Custom Model Training - Trained on your data for your exact use case, not generic pre-trained models
Our AI Specializations
Two Ways We Deliver AI
Every project is different. Depending on your goals, we run the intelligence directly on your device — or collect data from your sensors and analyze it in the backend.
Edge AI
On-Device IntelligenceWe bring intelligence directly onto your hardware. Models run on the device itself — ideal when you need instant decisions, privacy, and reliability without depending on a network.
- Sensor anomaly detection
- Predictive maintenance
- Audio classification & voice commands
- Vibration & motion pattern recognition
Data Acquisition & AI Analytics
Sensor-to-Backend IntelligenceWe collect data from any source — cameras, microphones, or sensors — log it, and analyze it in the backend with heavier AI models. Results come back as dashboards, alerts, and reports.
- Multi-sensor data acquisition & logging
- Sound & vibration signal analysis
- Video & image analytics at scale
- Trend detection & predictive insights
Data Acquisition & AI Analytics
From Sensor Data to Smart Decision
We collect data from cameras, microphones, and sensors of every kind — then log it, analyze it in the backend with custom AI models, and turn it into dashboards and alerts.
Acquire
Cameras, mics & sensors
Ingest
Stream & buffer data
Store & Log
Time-series & media logs
Analyze
Backend AI models
Act
Dashboards, alerts, reports
Sound & Acoustic Analysis
Classify noise, detect faults, and analyze acoustic signatures from microphone data.
Vibration Analysis
Spot bearing wear, imbalance, and machine faults from vibration signal data.
Environmental Monitoring
Analyze temperature, humidity, flow, and air-quality trends over time.
Predictive Maintenance
Predict failures before they happen by analyzing historical sensor data.
Video & Image Analytics
Object detection, counting, ANPR, and inspection from camera feeds at scale.
Anomaly & Trend Detection
Surface outliers, drift, and patterns across multi-sensor data streams.
Edge AI
Intelligence That Lives Inside the Device
Your device sees, hears, and decides — without waiting for a server response. We train models and compress them to run within tight memory and power budgets.
Low Latency
Decisions in milliseconds at the data source. No round-trip to the cloud.
Private by Design
Sensitive data never leaves the device. Full compliance by default.
Offline Ready
Works with no or intermittent connectivity. Fully autonomous.
Power Efficient
Optimized for battery-powered and energy-constrained devices.
What We Deploy on Edge
- Sensor anomaly detection & predictive maintenance
- Audio classification & keyword spotting
- Vibration & motion pattern recognition
- On-device image classification & object detection
- Environmental monitoring with smart thresholds
Hardware We Deploy On
- MCUs: ESP32, STM32, nRF52, PIC, Arduino
- SBCs: Raspberry Pi, NVIDIA Jetson, BeagleBone
- AI Accelerators: Coral Edge TPU, Hailo, NPUs
- Custom PCBs: Co-designed with the AI model in mind
- Frameworks: TensorFlow Lite, ONNX, TinyML, OpenCV
Why Arctano is Your Ideal Partner for AI Solutions?
We combine deep hardware expertise with AI/ML capabilities to deliver production-ready intelligent systems — not just prototypes or models in a notebook.
100% Custom AI Models
• Trained on your real-world data
• Optimized for your hardware
• Not generic off-the-shelf models
Hardware + AI Under One Roof
• PCB, firmware & ML engineers together
• No multi-vendor coordination
• Faster iteration cycles
Right-Fit Architecture
• On-device or backend — your choice
• Matched to your latency & cost needs
• Privacy & reliability optimized
Production-Ready Delivery
• Field-tested in real conditions
• OTA update capability built-in
• Designed for scale manufacturing
Proven Across Industries
• Manufacturing & quality control
• Agriculture & environment
• Security & surveillance
Full IP & Source Code Handover
• Trained models are yours
• Complete source code & docs
• No vendor lock-in
Tailored to Your Industry
We build AI for real-world environments where reliability and accuracy matter
Manufacturing
Defect detection, production counting & vibration-based condition monitoring
Agriculture
Crop health monitoring, pest detection, livestock counting & yield estimation
Surveillance & Defence
Intrusion detection, people tracking & perimeter monitoring
Healthcare & Wearables
On-device health signal analysis, fall detection & patient monitoring
Fleet & Transportation
Driver behavior monitoring, ANPR for parking & tolls, predictive maintenance
Energy, Oil & Gas
Automated meter reading, pipeline & asset inspection, fault detection
Capabilities
What We Handle End-to-End
From sensor and data collection to field deployment — we own the complete AI lifecycle across hardware, firmware, models, backend, and dashboards, so you work with one team instead of many vendors.
Data Acquisition & Labeling
- Capture from cameras, mics & sensors
- Custom datasets from your environment
- Annotation for your exact use case
Custom Model Training
- Architectures built for your problem
- Trained on your data, not generic models
- Vision, audio, signal & sensor models
Edge Optimization & Deployment
- Quantization, pruning & TinyML
- Run within tight memory & power budgets
- On-device, real-time inference
Hardware & Firmware Co-Design
- Custom PCB built around the model
- Firmware & AI designed together
- Sensor & peripheral integration
Backend, Dashboards & Alerts
- Scalable data & analytics pipelines
- Real-time visualization & reporting
- Notifications & clean APIs
Deployment, OTA & Support
- Field deployment & validation
- Over-the-air model updates
- Monitoring & ongoing support
Frequently Asked Queries
From custom model training to on-device deployment, we build complete AI products — hardware, firmware, models, and dashboards. Have questions about Edge AI or Data Analytics? Let's talk. Contact usWhat hardware can you deploy AI models on?
We work with microcontrollers (ESP32, STM32, nRF), single-board computers (Raspberry Pi, Jetson), custom PCBs, and edge AI accelerators. We select hardware based on your power, size, and performance requirements.
Can you train a custom model on our data?
Yes. We collect or process your data, label it, train a model specific to your use case, and optimize it for your target hardware. We don't rely on generic pre-trained models alone.
What's the difference between Edge AI and Data Analytics?
With Edge AI, the model runs directly on the device for instant, offline decisions. With Data Acquisition & AI Analytics, the device collects data from sensors, cameras, or microphones and sends it to a backend where heavier models analyze it. We help you pick the right approach — or combine both.
What's the typical timeline for an AI project?
A proof-of-concept typically takes 4–6 weeks. Full production deployment (custom hardware + trained model + backend + dashboard) ranges from 3–6 months depending on complexity and certification needs.
Can the model be updated after deployment?
Yes. We build OTA (over-the-air) update capability into the firmware, so you can push retrained models to devices in the field without physically accessing them.
Do you also build the hardware, or just the AI?
We build both. As a custom IoT development company, we design the PCB, write the firmware, train the model, build the backend, and deliver the dashboard. One team, one product.
