Customization is enabled through a middleware and scalable architecture that allows businesses to tailor IIoT Solutions to their specific operational needs. This includes API-driven integrations, configurable dashboards, flexible data models for real-time asset monitoring, and AI-driven predictive maintenance & performance optimization.
Key integration challenges include interoperability with legacy systems, data standardization, security compliance, and cloud compatibility. The Flex83 platform addresses these by letting you build and own enterprise-ready and custom asset performance management solutions with predictive maintenance at scale.
Managing a growing number of devices requires automated provisioning, hierarchical device management applications, and real-time monitoring. The Asset Management Solution built on the platform ensures scalability by offering centralized device control, remote monitoring, anomaly detection, and AI agent-powered predictive maintenance with FOTA updates.
Security is ensured through multi-layer encryption, role-based access controls, secure device authentication, and continuous threat monitoring to safeguard data integrity and prevent cyber threats.
IIoT solutions improve customer lifetime value (CLV) by providing real-time insights into asset health, reducing downtime through AI ML-based predictive maintenance, and enabling data-driven decision-making (predictions analytics) to enhance operational efficiency.
IIoT enables servitization models, allowing OEMs to offer asset management as a service, implement usage-based billing, and introduce subscription-based maintenance plans, generating a parallel stream of recurring revenue.
Seamless integration is achieved by leveraging API-driven connectivity, standardized industrial communication protocols, and ensuring compatibility with legacy infrastructure using edge gateways.
The platform supports a range of industrial connectivity protocols, including MQTT, OPC UA, Modbus, RESTful APIs, HTTP/HTTPS, and more, to ensure compatibility with various IoT devices and enterprise applications.
The platform offers centralized device management, including remote provisioning, real-time monitoring, software updates, and diagnostic capabilities to ensure optimal device performance.
Yes, edge computing capabilities enable real-time data analysis, local decision-making, and anomaly detection at the device level, reducing latency and minimizing cloud dependency.
The platform supports hierarchical asset models, time-series data, and structured/unstructured data integration, allowing businesses to generate predictive insights and optimize asset utilization.
The platform employs end-to-end encryption, identity and access management (IAM), secure data transmission, and compliance with industry standards.
Designed for both horizontal and vertical scalability, the platform supports from few thousands to 65M+ of connected devices and users, ensuring high availability and optimal performance across OEMs' global operations.
The platform provides a developer-friendly environment with SDKs, REST APIs, customizable dashboards, and built-in analytics, ensuring quick development, customization, and deployment of IIoT solutions.
No, the Flex platform is designed to ensure that OEMs get the opportunity to build an IIoT solution that is highly accustomed to the OEM’s core business needs. Since each business would have a varying PRD, Flex83 lets you match features per your need and build the solution at a surprisingly faster development time with 10x TTM and 6x TCO savings.
Yes, we have case studies showcasing successful IIoT implementations across industrial use-cases such as asset performance management, asset remote monitoring, machine vision AI, field ops, smart metering, power/energy management systems, and more. These can be accessed at Industrial IoT Success Stories - Case Studies | IoT83
We provide comprehensive support, including asset onboarding assistance, training, solution development assistance, dedicated technical account managers, and post-deployment support.
The timeline varies based on project complexity, but with pre-built microservices, modular architecture, and rapid prototyping, deployment can be significantly accelerated with an enterprise-level application V1 achieved in 6-8 weeks.