IoT Analytics ServicesTime-Series Data. Predictive Maintenance ML.
Bespoke IoT analytics services. Real-time sensor time-series data pipelines, predictive maintenance ML models, Grafana live dashboards, anomaly detection, and IoT fleet telemetry.
Predictive ML
14-Day Failure Prediction
TimescaleDB
Sub-100ms Query Speed
Grafana Live
WebSockets Live Telemetry
Anomaly Alerts
Real-Time Sensor Alerts
Why IoT Analytics
Predictive maintenance machine learning. TimescaleDB speed.
Enterprise IoT analytics engineering combines machine learning failure prediction, TimescaleDB time-series data warehousing, and live Grafana dashboards.
Predictive Maintenance Machine Learning
Training ML models on motor vibration, temperature, and current draw telemetry to predict hardware failure 14 days before downtime occurs.
TimescaleDB Time-Series Data Pipeline
Ingesting billions of raw sensor data points into TimescaleDB and InfluxDB with sub-100ms analytical query speeds.
Live Grafana & WebSockets Dashboards
Building interactive Grafana visual dashboards and sub-50ms WebSockets live telemetry streaming charts for operations teams.
Real-Time Sensor Anomaly Alerting
Running real-time z-score and isolation forest algorithms to flag abnormal sensor spikes and trigger instant alert dispatches.
IoT Analytics Capabilities
Predictive ML, Grafana dashboards & time-series data.
We deliver full-suite IoT analytics services covering anomaly detection, Apache Spark streaming, OEE industrial metrics, and automated PDF dispatches.
Predictive Maintenance & Machine Failure ML Models
Building Python Scikit-Learn and PyTorch models detecting bearing wear, motor imbalance, and thermal degradation.
TimescaleDB & InfluxDB Time-Series Warehousing
Architecting hypertable time-series databases optimized for fast downsampling, continuous aggregates, and historical queries.
Grafana & Custom WebSockets Telemetry Dashboards
Designing interactive monitoring dashboards with live gauge meters, heatmaps, and GPS device map layers.
Real-Time Anomaly Detection & Alert Engine
Running streaming anomaly detection algorithms flagging pressure drops, power spikes, and offline hardware.
Apache Spark & BigQuery Big Data Stream Analytics
Processing terabytes of historical sensor telemetry in Apache Spark and BigQuery for trend forecasting.
IoT Device Fleet Battery & Signal Health Telemetry
Tracking battery discharge curves, RSSI cellular/Wi-Fi signal strengths, and OTA update success rates.
Overall Equipment Effectiveness (OEE) Analytics Engine
Calculating availability, performance rate, and quality factors for industrial manufacturing assembly lines.
Automated PDF / Email Telemetry Report Dispatches
Scheduling automated daily and weekly PDF executive dispatches detailing fleet health and energy consumption.
Industry Solutions
IoT analytics solutions for every commercial sector.
From industrial predictive maintenance to smart city environmental heatmaps, medical CGM trends, cold chain compliance, and vehicle telematics, we analyze sensor data.
Industrial Plant Machine Predictive Maintenance Platform
Analyzing 1,000Hz motor vibration FFT data to predict bearing failure and prevent factory shutdowns.
Smart City Environmental Air Quality Analytics Engine
Visualizing PM2.5, NO2, and CO2 pollution heatmaps across 500 municipal sensing nodes in real time.
Smart Building Energy Consumption & HVAC Optimization
Analyzing 15-minute smart meter power readings to identify energy waste and optimize building HVAC schedules.
Healthcare Patient Vital Sign Telemetry Analytics
Processing Continuous Glucose Monitor (CGM) and pulse oximeter telemetry to calculate patient health trend lines.
Cold Chain Cargo Temperature Excursion Analytics
Tracking refrigerated container temperature curves to generate FDA/GMP compliance audit reports.
Commercial Vehicle Fleet Fuel & Driver Behavior Analytics
Parsing CAN bus engine speed, hard braking events, and fuel consumption to optimize fleet operating costs.
Smart Agriculture Crop Yield & Soil Telemetry Analytics
Combining soil moisture readings, weather forecasts, and historical solar radiation data for crop yield optimization.
Smart Grid Electric Substation Power Quality Analytics
Analyzing 3-phase AC voltage harmonics and power factor fluctuations across electrical grid transformers.
Water Distribution Network Pressure Drop Leak Detection
Running time-series correlation algorithms across city water flow meters to pinpoint underground pipe leaks.
Consumer Smart Home Device Telemetry & Usage Analytics
Tracking daily usage patterns of smart thermostats and appliances to optimize cloud infrastructure costs.
Retail Smart Shelf Automated Inventory Velocity Analytics
Measuring product shelf depletion rates from RFID scans to forecast regional warehouse restocking schedules.
Oil & Gas Pipeline Pressure Hazard Early Warning
Analyzing remote pipeline pressure drop telemetry to dispatch emergency shutoff commands before leaks occur.
IoT Analytics Feature Modules
Production-ready IoT analytics feature components.
Complete list of TimescaleDB cores, predictive ML runners, and Grafana WebSockets streaming modules included.
TimescaleDB / InfluxDB Time-Series Storage Core
High-performance time-series database storing sensor metrics with continuous aggregate views.
Predictive Maintenance ML Model Execution Engine
Python PyTorch model runner predicting hardware degradation and remaining useful life (RUL).
Grafana & WebSockets Live Telemetry Dashboard
Sub-50ms live WebSockets telemetry streaming gateway powering interactive Grafana charts.
Real-Time Z-Score Anomaly Detection Alert Shield
Streaming telemetry inspector calculating rolling standard deviations to trigger instant alert dispatches.
Apache Spark & BigQuery Big Data Stream Processor
Terabyte-scale telemetry analytics pipeline aggregating multi-year sensor trends.
Industrial Overall Equipment Effectiveness (OEE) Engine
Automated calculation of Availability x Performance x Quality metrics for factory assembly lines.
IoT Fleet Battery & Cellular Signal Telemetry Manager
Real-time tracking of battery discharge rates, signal strength (RSSI), and device online/offline states.
Automated PDF Telemetry Report Generator Engine
Cron-scheduled report generator formatting time-series charts into executive PDF email dispatches.
Audit Trail & IoT Analytics Query Log Vault
Permanent timestamp logs recording every telemetry query, ML model prediction, and alert trigger.
PostgreSQL Multi-Tenant Analytics Vault
ACID database storage preserving historical fleet analytics with isolated customer data schemas.
Single Sign-On (SSO)
Integrating SAML 2.0 and Azure AD for secure corporate IoT analytics platform access.
Automated Monthly IoT Predictive Maintenance Reports
Cron-scheduled dispatches detailing predicted equipment failures, maintenance savings, and fleet uptime.
Technology & Tools
Modern IoT analytics tech stack. High throughput.
We use TimescaleDB, PyTorch, Scikit-Learn, Grafana, ThingsBoard, Apache Spark, and Python.
Time-Series & Storage
- TimescaleDB (PostgreSQL)
- InfluxDB Enterprise
- ClickHouse Time-Series
- AWS Timestream
ML & Predictive Analytics
- Python PyTorch / Scikit-Learn
- TensorFlow / Keras
- Pandas & NumPy
- SciPy Signal Processing
Visualization & Dashboards
- Grafana Enterprise
- ThingsBoard PE
- Chart.js / D3.js
- Looker Studio
Big Data & Streaming
- Apache Spark Streaming
- Google BigQuery
- AWS Kinesis Data Analytics
- Apache Kafka
Backend Languages
- Python (FastAPI)
- Node.js / TypeScript
- Go (Golang)
- Rust (Data Processing)
Alerting & Telemetry
- Prometheus Alertmanager
- PagerDuty API
- Twilio SMS Gateway
- Slack Webhooks
Security & Quality
Encrypted time-series vault & sub-100ms query QA.
NDAA NDA compliance, granular telemetry access controls, and predictive ML 95%+ accuracy verification.
IoT Analytics Security Standards
Encrypted Time-Series Database Vault Storage
Protecting sensitive client sensor telemetry databases and predictive ML model weights with AES-256.
NDAA & SOC 2 Compliant IoT Analytics Operations
Enforcing strict non-disclosure security standards for client industrial operational data and telemetry.
Granular Telemetry Data & Dashboard Access Controls
Restricting raw sensor telemetry views and predictive maintenance alerts to authorized operations managers.
Immutable Telemetry Query & Alert Audit Logs
Permanent timestamp logs recording every analytics query, ML model run, and automated alert dispatch.
Isolated Analytics Staging Environment Sandboxes
Testing predictive ML models on historical offline datasets before deploying models to live production pipelines.
QA & Ergonomics Verification
TimescaleDB Sub-100ms Query Benchmark QA
Testing 1-year historical telemetry queries across 10,000 sensors to verify sub-100ms response times.
Predictive Maintenance ML 95%+ Accuracy Test QA
Validating machine failure prediction models against historical fault logs to guarantee 95%+ precision.
Real-Time Anomaly Alert Zero False Alarm QA
Calibrating streaming z-score thresholds to eliminate false alarms while guaranteeing zero missed critical alerts.
Grafana WebSockets Live Dashboard Stream QA
Verifying live telemetry charts update smoothly at 20Hz refresh rates without memory leaks or browser lag.
E2E Automated PDF Telemetry Dispatch Verification QA
Testing PDF report generation pipelines to ensure 100% of charts render accurately and deliver on schedule.
12-Step Lifecycle
Proven IoT analytics methodology.
From data schema design to TimescaleDB setup, real-time ingestion, ML model training, anomaly detection rules, Grafana dashboard build, OEE metrics, and 24/7 operation calibration.
Telemetry Goals & Data Schema Architecture
Defining sensor metrics, sampling frequencies, retention policies, and selecting TimescaleDB or InfluxDB.
Time-Series Database Vault Setup
Configuring TimescaleDB hypertables, continuous aggregates, and automated data compression policies.
Real-Time Telemetry Ingestion Pipeline Build
Connecting MQTT brokers to Kafka and TimescaleDB for sub-50ms sensor message storage.
Predictive Maintenance ML Model Development
Training PyTorch or Scikit-Learn failure prediction models on historical vibration and temperature datasets.
Real-Time Anomaly Detection & Alert Setup
Deploying streaming anomaly detection rules sending instant SMS, email, and Webhook dispatches.
Grafana & WebSockets Live Dashboard Build
Creating interactive Grafana visual dashboards displaying live sensor graphs, heatmaps, and fleet maps.
Industrial OEE & Battery Telemetry Engine
Calculating OEE metrics for factory lines and tracking battery discharge curves for wireless sensors.
Model Calibration, QA & 24/7 Operations
Validating ML model accuracy against field failures, optimizing database indexes, and providing 24/7 monitoring.
Industry Domain Focus
IoT analytics solutions built for your sector.
We analyze sensor telemetry and build predictive maintenance ML models tailored to your specific commercial industry.
Enterprise B2B & SaaS
Connecting enterprise equipment, server room environmental sensors, and office energy management systems.
Healthcare & Life Sciences
Processing Continuous Glucose Monitor (CGM) and pulse oximeter telemetry to calculate patient health trend lines.
FinTech & Financial Services
Deploying tamper-proof IoT smart safes, biometric ATM monitoring, and physical vault intrusion sensors.
Real Estate & PropTech
Analyzing 15-minute smart meter power readings to identify energy waste and optimize building HVAC schedules.
Logistics & Supply Chain
Tracking refrigerated container temperature curves to generate FDA/GMP compliance audit reports.
E-Commerce & Marketplaces
Analyzing 1,000Hz motor vibration FFT data to predict bearing failure and prevent factory shutdowns.
Related Services
Explore complementary IoT & embedded services.
FAQ
IoT Analytics FAQs.
Questions we get before kicking off time-series data warehousing and predictive maintenance ML engineering.
- Predictive maintenance analyzes subtle changes in motor vibration, temperature, and current draw to detect component degradation 14 days before catastrophic failure occurs. This allows plant managers to schedule maintenance during planned downtime, avoiding costly emergency shutdowns.
Let's build something great
Tell us your IoT analytics goals.We'll build your time-series pipeline & ML models.
Schedule a free IoT analytics consultation with our senior data scientists. Receive a TimescaleDB schema design, ML feasibility study, and project estimate.