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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's Edge AI differ from traditional cloud-based AI for industrial applications?

ClearBlade's Edge AI processes data directly on-device, enabling ultra-fast detection and response with sub-second latency. This is critical for industrial operations where instant decisions are required, such as predictive maintenance or anomaly detection, and it also supports reliable operation in environments with intermittent or no connectivity, reducing bandwidth reliance on the cloud.

Can ClearBlade integrate with existing operational technology (OT) systems and proprietary industrial protocols?

Yes, ClearBlade is designed for seamless integration with legacy systems and supports a wide array of industrial protocols including MODbus, CANbus, OPC-UA, BACnet, and SNMP, in addition to standard IoT protocols like MQTT and HTTP. This allows organizations to leverage their existing infrastructure while modernizing with IoT and AI capabilities.

What is the distinction between ClearBlade IoT Core and IoT Core+?

ClearBlade IoT Core is a fully managed Google Cloud service focused on securely connecting, managing, and ingesting IoT data at scale within the Google Cloud ecosystem. IoT Core+, however, is a more comprehensive solution that unifies devices, data, and edge computing across any cloud or edge environment, offering advanced features like edge orchestration, full device management, and broader enterprise data streaming support beyond Google PubSub.

How does ClearBlade ensure data security and compliance for critical infrastructure deployments?

ClearBlade maintains enterprise-grade security, evidenced by its compliance with ISO/IEC 27001:2022 and SOC 2 Type 2 certifications. It employs robust security mechanisms such as MTLS, Asymmetric keys, OAuth2, Role-based IAM, and OIDC to protect data in transit and at rest, ensuring secure operations even in high-stakes industrial environments.

What kind of low-code/no-code capabilities does ClearBlade offer for developing industrial IoT solutions?

ClearBlade provides extensive low-code/no-code capabilities, particularly within its Intelligent Assets product. This includes a no-code configurator for building digital twins, defining business logic, setting up rules engines, and creating dashboards, empowering operational teams to develop and deploy solutions without extensive programming knowledge.

Beyond device connectivity, how does ClearBlade facilitate automated actions and workflows based on machine data?

ClearBlade's Intelligent Assets product leverages AI-powered digital twins to understand operational data and translate it into automated actions. This includes advanced business logic and rules engines, which can be configured without code, to trigger responses, optimize processes, and automate workflows based on real-time insights from connected devices.

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