IoT Platform | Big Data

2 months

for MVP productization

100+

facilities monitored

10B+

events/day processing capacity

IoT Platform use cases

CONNECTIVITY, DATA, INTELLIGENCE

Create edge and cloud IoT platforms

Benefit from a seamless platform that collects data from IoT sensors, processes data in the cloud, leverages ML models and intelligent services that can be deployed on the edge, and monitors all components in real-time. This platform provides a solid foundation for delivering applied IoT and smart manufacturing use cases.

CONNECTED DEVICES

Collect and analyze data from connected devices

Never miss a beat or a data insight by collecting and processing data from multiple consumer and industrial connected devices such as vehicles, wearable devices, consumer electronics, and more.

QUALITY

Reduce the cost of quality control

Optimize quality control with rule-based and AI components for detecting anomalies and defects based on numerical IoT metrics, images, and videos. We help clients create quality control solutions in the most efficient way by combining cloud-native services and custom ML models.

MAINTENANCE

Reduce maintenance costs and risks

Significantly reduce the cost of equipment maintenance, and the risk of failure with AI-powered predictive maintenance methods. Deployed on the IoT platform, the solution includes data collection, modeling, and monitoring components.

OPTIMIZATION

Improve production efficiency

Leverage the power of sight and foresight with a combination of computer vision and physical simulations to improve the efficiency of production processes, reduce waste, and improve quality.

Our clients

RETAIL

HI-TECH

MANUFACTURING & CPG

FINANCE & INSURANCE

HEALTHCARE

SECURITY

IoT Platform Starter Kits for AWS and GCP

Our AWS and GCP platform starter kits include data collection and processing components, edge deployment automation, model development tools, and example ML models to accelerate the provision of complete platforms in days, rather than months. The starter kits are engineered for each cloud platform and leverage the cloud-native services in the most optimal ways.

IoT Analytics Platform Starter Kit for Google Cloud

The IoT Platform Starter Kit for GCP includes infrastructure automation, integration between services, security configuration, and an application layer that brings together data collection, data landing, sample anomaly detection models, and a serving layer in both batch and stream modes.

IoT Analytics Platform Starter Kit for AWS

The IoT Platform Starter Kit for AWS makes it quick and easy to provision a full-fledged IoT platform in the cloud, integrate it with on-premise facilities, and onboard business-critical applications such as predictive maintenance or visual quality control.

How the IoT Platform works

Edge and connectivity

The platform includes MQTT integrations, CI/CD pipelines for deploying services and models on the edge, and observability components for monitoring.

Cloud services

The collected data are streamed to the cloud where they are pre-processed, validated, labeled, and used for building operational dashboards, reports, and ML models.

Advanced analytics

We created, and continuously extend, a large library of models for anomaly detection, visual quality control, and predictive maintenance use cases. These models use state-of-the-art ML methods and algorithms developed specifically for IoT scenarios.

Our latest innovations in IoT Analytics

Insights

IoT Platform: A Starter Kit for AWS

In this article, we describe the IoT Platform Starter Kit for AWS and how it accelerates the provision of an IoT platform in the cloud, integrates with an on-premise facility, and onboards business critical applications like predictive maintenance or visual quality control.

Insights

Building an IoT Platform in GCP: A Starter Kit

This blog post describes the IoT Platform Starter Kit for Google Cloud, and how it provides modular components to address various capabilities like data collection, deployment to the edge, IoT devices management, and more, while drastically accelerating time-to-market.

Case study

Insights

Anomaly detection in industrial IoT data using Google Vertex AI: A reference notebook

In this blog post, we focus on IoT data analysis challenges associated with system health monitoring, and how to resolve them with an IoT Platform leveraging Google Vertex AI.

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