Beyond simple connectivity. EdgeData360 is the resilient DataOps middleware that unifies your distributed operations and grounds your AI in real-time operational truth.
250+ Connectors
Eliminate data silos by unifying Operational Technology (OT) and Information Technology (IT) with zero custom code required.
Seamlessly ingest data from legacy OT protocols (MQTT, Modbus, OPC UA, Ignition SCADA) to modern IT and cloud infrastructures (Kafka, REST APIs, relational/time-series databases).
A visual pipeline studio lets users build event-driven or time-triggered workflows, enabling complex data transformations, array breakups, and JSON flattening using simple JavaScript syntax.
Built-in dynamic REST API builder and MQTT server allow businesses to expose internal data to third-party applications securely, completely bypassing complex source protocols.
Skill Agents are purpose-built AI workers that handle complex, multi-step workflows end-to-end.
From data detection to model execution to report generation, the AI Agent executes the entire workflow.
Skill Agents autonomously navigate bottlenecks, retry failed steps, and verify outcomes.
Results are sent via email, Microsoft Teams, or pushed directly to live dashboards.
Ground your LLMs safely within corporate boundaries. Real-time, bi-directional Agentic AI with full data sovereignty.
EdgeData360 uses the Model Context Protocol (MCP) to expose live operational data as tools for AI Agents, moving beyond static document search into real-time, bi-directional Agentic workflows.
Instead of sending raw business data to LLMs, the platform sends only metadata and sample records to generate algorithms, ensuring execution happens entirely on local hardware.
Built-in data masking, column suppression, and ID randomization ensure complete data sovereignty before any information hits an AI endpoint.
Define it once. The scheduler manages the cadence, triggering Skill Agents on time, every time.
Define daily, weekly, or monthly schedules. The scheduler monitors sources and triggers workflows automatically.
Combine cron-style scheduling with event-driven triggers. React to data changes or execute batch operations on a fixed cadence.
Runs continuously with built-in retry logic, failure alerts, and audit trails.
Built for the C-Suite and Operations Directors. No external BI software required.
Build comprehensive dashboards, scorecards, and charts directly within EdgeData360.
Translate complex machine-level data into a business-friendly dictionary for non-technical stakeholders.
Natural language queries automatically generate live, pinnable dashboard charts.
Deployment flexibility and centralized governance for infrastructure leaders who demand performance at scale.
Runs on on-premise edge devices for disconnected environments, as well as natively within enterprise cloud accounts.
Centrally manage, update, and monitor multiple edge deployments from a single cloud console.
An ML-depot lets users import models for localized edge inferencing, reducing cloud compute costs and latency.
Connect your systems with EdgeData360 and let users ask anything and get instant answers using your data.
Add a chatbot to your website in 4 simple lines of code. No complex setup, no infrastructure overhead.
Securely connect your systems with EdgeData360. The chatbot queries live data in real-time, grounded in your enterprise truth.
Enterprise-grade security, access control, and data privacy. Every interaction is governed by your RBAC policies and DataGuard masking.
Industrial DataOps · Agentic AI · Real Operational Impact
See how EdgeData360 unifies your data, grounds your AI, and delivers results from day one.