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ClearBlade

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Bridging the digital and physical world to keep critical systems efficient, secure, and always online.

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Tracked since2026
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The Bottom Line

Entry price

Paid plans only

Biggest pro

Proven global scalability across 53M+ devices and 38 countries.

Biggest con

Primarily targets large enterprises and industrial sectors, potentially less suitable for smaller scale IoT projects.

TL;DR - ClearBlade

  • Full-stack edge deployment platform for industrial IoT and AI.
  • Connects, manages, and ingests data from millions of devices for critical systems.
  • Enables AI-powered digital twins, automated workflows, and real-time edge decision-making.
Pricing: Paid only
Best for: Enterprises & pros

What is ClearBlade?

Editorial review
ClearBlade provides a full-stack edge deployment platform designed for industrial-scale IoT and AI. It enables organizations to connect, manage, and ingest data from millions of devices across diverse environments, from locomotives to power grids. The platform focuses on unifying devices, data, and edge computing to power industrial operations, offering solutions for real-time data streaming, AI-powered digital twins, and automated workflows. ClearBlade is built for Fortune 500 companies in high-stakes industries like energy, transportation, and infrastructure. It helps these organizations modernize legacy systems, achieve regulatory compliance, and implement AI-driven decision-making at the edge. The platform emphasizes scalability, security (ISO/IEC 27001:2022 and SOC 2 Type 2 compliant), and rapid deployment, often within 30 days, to accelerate ROI for complex industrial IoT initiatives. The product suite includes IoT Core+ for comprehensive device and data unification, Intelligent Assets for AI-powered digital twins and automated actions, and Edge AI for ultra-fast, on-device AI decision-making. ClearBlade also offers a Google Cloud-specific IoT Core service for secure data ingestion and management at scale, catering to various deployment needs from cloud-only to full edge deployments.

Available on: Web

Pros & Cons

Pros

  • Proven global scalability across 53M+ devices and 38 countries.
  • Robust security compliance (ISO/IEC 27001:2022 and SOC 2 Type 2).
  • Supports complex industrial use cases with advanced edge AI and digital twin capabilities.
  • Accelerates deployment timelines, often within 30 days.
  • Seamless integration with legacy systems and major cloud platforms.

Cons

  • Primarily targets large enterprises and industrial sectors, potentially less suitable for smaller scale IoT projects.
  • The Google Cloud IoT Core product is cloud-specific, limiting deployment flexibility for those not on Google Cloud.

Key Features

IoT Core+ for device, data, and edge unificationIntelligent Assets for AI-powered digital twins and automated workflowsEdge AI for ultra-fast, on-device AI decision-makingReal-time data streaming with sub-second latencyEdge-native decision-making for offline operation and reduced latencyComprehensive device registry with custom schema and telemetry storageHighly scalable MQTT brokerSupport for various communication protocols (MQTT, HTTP, REST, WebSockets, MODbus, CANbus, OPC-UA, BACnet, SNMP, LoRaWAN, BLE)

Pricing

Paid

ClearBlade offers paid plans. Visit their website for current pricing details.

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ClearBlade FAQ

How does ClearBlade support real-time operations in industrial settings?

ClearBlade provides real-time data streaming and AI-powered digital twins to enable immediate insights and automated actions for industrial operations. Its Edge AI capabilities facilitate ultra-fast, on-device decision-making, ensuring critical systems remain efficient and online. This allows for prompt responses to operational changes and enhances system reliability.

Which teams benefit most from ClearBlade's platform?

Teams within large enterprises and industrial sectors, particularly in energy, transportation, and infrastructure, benefit most from ClearBlade. It is designed for organizations looking to modernize legacy systems, achieve regulatory compliance, and implement AI-driven decision-making at the edge. The platform supports complex industrial IoT initiatives requiring high scalability and security.

How is ClearBlade priced?

ClearBlade is offered as a paid product, designed for industrial-scale IoT and AI deployments. It does not include a permanently free tier. The pricing model is structured to support the comprehensive features and robust infrastructure required by large enterprises.

What kind of trade-offs should potential users consider with ClearBlade?

ClearBlade primarily targets large enterprises and industrial sectors, which means it may be less suitable for smaller-scale IoT projects. Additionally, its Google Cloud IoT Core product is specifically designed for Google Cloud environments, which could limit deployment flexibility for organizations not utilizing that cloud platform.

Can ClearBlade integrate with existing legacy systems?

Yes, ClearBlade is designed for seamless integration with legacy systems, helping organizations modernize their infrastructure. It unifies devices, data, and edge computing to power industrial operations, ensuring compatibility with diverse environments. This capability is crucial for companies in high-stakes industries looking to update their technology stack.

How does ClearBlade compare to ThingsBoard for industrial IoT deployments?

ClearBlade focuses on full-stack edge deployment for industrial-scale IoT and AI, emphasizing robust security compliance (ISO/IEC 27001:2022 and SOC 2 Type 2) and rapid deployment within 30 days. It is built for Fortune 500 companies in high-stakes industries like energy and transportation, offering advanced edge AI and digital twin capabilities. ThingsBoard also provides IoT solutions, but ClearBlade's specialization lies in its proven global scalability across 53M+ devices and 38 countries, catering specifically to complex industrial use cases.

Does ClearBlade offer solutions for AI-powered digital twins?

Yes, ClearBlade includes Intelligent Assets, a component of its product suite specifically designed for AI-powered digital twins and automated actions. This feature allows organizations to create virtual models of physical assets, enabling real-time monitoring and predictive maintenance. It supports AI-driven decision-making at the edge for enhanced operational efficiency.

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