Sold by: Faclon Labs
I/O Sense by Faclon Labs is a next-generation Industrial DataOps platform that unifies, contextualizes, and activates data across IT and OT systems. Purpose-built for digital transformation, it bridges the physical and digital worlds to empower operations, engineering, and business teams with AI-driven insights. Built on a scalable, cloud-agnostic architecture, I/O Sense comes with no-code tools and embedded AI to accelerate deployment and value realization. From improving energy efficiency to enhancing asset reliability and driving productivity, I/O Sense enables enterprises to achieve smarter, data-driven operations across their industrial ecosystems..
Overview
I/O Sense by Faclon Labs:
I/O Sense by Faclon Labs is a next-generation Industrial DataOps platform built to unify, analyze, and activate operational data across diverse IT and OT environments. Designed for enterprises undergoing digital transformation, it bridges the physical and digital worlds, empowering operations, engineering, and business teams with contextual AI-driven insights.
At its core, I/O Sense provides a unified data fabric that ingests information from heterogeneous sources like SCADA/DCS, PLCs, ERP, quality labs, APIs, sensors, and even manual SOPs. Using a unified namespace, the platform contextualizes this data for real-time and historical analytics, AI training, and intelligent automation without requiring replacement of existing systems.
The platform supports all major industrial protocols such as Modbus, OPC UA, HART, Profinet, LoRa, M-Bus, and DLMS, ensuring seamless interoperability with both legacy and modern infrastructure.
With 100+ plug-and-play applications, I/O Sense delivers immediate value across domains including:
- Energy and utility optimization
- HVAC automation and monitoring
- Predictive maintenance and vibration analytics
- Equipment effectiveness and OEE tracking
- Power quality and busbar monitoring
- Material traceability and process control
- Digital logbooks and workflow automation
- AI-based quality inspection via vision systems
Its no-code interfaces dashboard designers, digital twins, form builders, and workflow resolvers—make it easy for non-technical users to configure and customize solutions for their operations.
On the intelligence front, I/O Sense integrates AI at three levels:
- AI Workbench – A no-code environment for ML model development, deployment, and monitoring.
- Bruce AI – A natural language co-pilot for querying live plant data and historical benchmarks.
- AI Agents – Prebuilt task-specific agents for predictive diagnostics, anomaly detection, energy modeling, and vision analytics.
The platform also enables MLOps and Edge AI, bringing inference and automation closer to the shop floor for faster, more reliable decision-making.
Security and governance are built-in, with SOC 2 compliance, audit trails, and federated access management. Developers can extend capabilities via REST APIs and the I/O Connect SDK, enabling smooth integration with MES, ERP, or CMMS systems.
I/O Sense is designed for industrial enterprises, OEMs, system integrators, and utilities, delivering measurable ROI through higher efficiency, reduced downtime, and sustainability gains.
Highlights
- Unified DataOps Fabric: I/O Sense creates a single source of truth for industrial operations by unifying IT and OT data streams. It ingests data from SCADA, PLCs, ERP systems, quality labs, and sensors, then contextualizes it through a unified namespace. This enables real-time and historical analysis, predictive modeling, and automation without replacing existing systems.
- 100+ Plug-and-Play Applications:With over 100 ready-to-use industrial applications, I/O Sense accelerates digital transformation without lengthy development cycles. From predictive maintenance, OEE dashboards, and vibration analytics to energy optimization, material traceability, and vision-based quality inspection, enterprises can deploy solutions quickly through intuitive no-code tools tailored to their needs.
- AI-First Architecture:Embedded intelligence sits at the core of I/O Sense. The platform combines no-code AI model development, natural language assistants for live queries, and specialized AI agents for diagnostics, anomaly detection, and energy modeling. With Edge AI and MLOps built in, enterprises can achieve faster decisions, higher asset reliability, and measurable improvements in efficiency and sustainability.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
I/O Sense Platform Subscription | Access to the I/O Sense module of the Faclon Industrial AI platform, including customizable dashboards, real-time visibility into asset operations, hyper-personalized analytics applications, and workflow automation capabilities. This subscription covers the full suite of plug-and-play and bespoke industrial intelligence apps, device and asset management features, user and access controls, and integrations with AI agents for enhanced operational insights and actionable recommendations. | $1.00 |
Vendor refund policy
Faclon Labs provides a 30-day refund window from the date of purchase for software licenses and standard subscriptions. Refund requests must be submitted to within this period. Refunds are subject to review and approval. Customized services, consulting, and implementation work are excluded. This policy applies only to unused, unmodified software products. Misuse or unauthorized alterations void refund eligibility.
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Delivery details
Software as a Service (SaaS)
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Support
Vendor support
- Support is available during business hours 9:00 AM to 5:00 PM EST
- Contact Methods:
- Comprehensive support includes technical guidance, onboarding assistance, and feature troubleshooting within business hours
- Knowledge Resources: Limited emergency support available outside regular hours for high-severity incidents
- Support Scope: Includes assistance with bug fixes, feature usage, integrations, and platform performance issues
AWS infrastructure support
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