Carriots
Carriots is an Internet of Things (IoT) platform provider focused on collecting, managing, and analyzing data from connected devices and systems for enterprise and industrial use cases.
- Cloud-based IoT platform for device connectivity, data collection, and remote management (IoT platform).
- APIs and SDKs for integrating IoT data streams with enterprise applications and backend systems (application integration).
- Data storage, rules, and event processing for real-time monitoring and automated actions on device telemetry (data management and event processing).
- Tools for building custom dashboards, visualizations, and IoT applications for operational monitoring (observability and IoT application enablement).
- Support for common IoT architectures spanning edge devices, gateways, and cloud services for asset tracking, smart city, and industrial scenarios (IoT solutions).
More About Carriots
Carriots provides a cloud-based IoT platform (IoT platform) used by enterprises and institutions to connect heterogeneous devices, collect telemetry, and manage IoT projects through a centralized environment. The platform is designed for use in industrial, infrastructure, and service contexts such as asset monitoring, smart city deployments, utilities, and remote equipment supervision, where large numbers of distributed devices must be monitored and controlled from a unified backend.
The Carriots platform exposes RESTful APIs (application integration) and software development kits to integrate device data into enterprise systems, web applications, or mobile apps. Through these interfaces, customers can register devices, push or pull sensor data, configure rules, and trigger events. The platform typically uses standard web protocols such as Hypertext Transfer Protocol (HTTP) and Message Queuing Telemetry Transport (MQTT) or similar patterns for message exchange, depending on device capabilities and gateway configurations, allowing a range of embedded hardware and field gateways to communicate with the cloud backend.
Architecturally, Carriots follows a multi-tenant cloud model with device management, data storage, rules engine, and application services layered on top. Devices or gateways send telemetry to the platform, where data is stored in time-series or document-oriented structures (data management) and can be queried or filtered for operational analytics. A rules and event-processing layer (event processing) lets users define conditions on incoming data, such as threshold breaches or status changes, to initiate alerts, notifications, or calls to external systems via webhooks or Application Programming Interface (API) calls.
For enterprise users, Carriots provides management consoles and tools to define projects, group devices, manage credentials, and configure security policies. This supports typical enterprise IoT requirements such as access control, role-based management, and integration with existing operational workflows. Custom dashboards and visualization components (observability) allow operations teams to track device status, sensor values, and alarms, and to build role-specific views for operations, maintenance, or management users.
Within the broader IoT solutions marketplace, Carriots fits into the category of horizontal IoT platforms that provide generic device connectivity, storage, and processing capabilities, on top of which customers or partners build domain-specific applications. It competes conceptually with other Platform-as-a-Service (PaaS) options that offer data ingestion, rules engines, and API access for IoT workloads, but Carriots is positioned for organizations that want a managed environment rather than building an IoT stack from discrete cloud services.
Directory categorization for Carriots aligns with IoT PaaS (IoT platform), device and data management (data management), and application enablement for monitoring and control (observability and IoT application enablement). Its focus on APIs, rules engines, and dashboards places it in the core IoT middleware layer that connects field hardware and sensors to business applications, analytics, and operational systems in enterprise environments.