How AI elevates IoT operations |
Interpret your IoT data with natural language vs SQL statements Automate tasks with intelligent workflows Bring IoT context into your AI tools and assistants |
AI-Driven Services for Automation & Insights
Turn IoT data into intelligence with AI-ready tools and workflows
Use built-in AI integrations, natural-language data exploration, and event-driven workflows to help engineering, operations, support, and business teams make smarter, faster decisions.
Make every part of your IoT deployment smarter, faster, and easier to manage
As IoT deployments scale, teams struggle to make sense of expanding datasets, respond quickly to unexpected behavior, and automate routine work across engineering, support, and operations. Soracom’s AI-focused platform features let you explore your fleet using natural language, run deep analytics without exporting data, integrate LLMs into your workflows, and build automation that responds to real-world events.
Whether you’re troubleshooting devices, analyzing connectivity data, supporting end users, or designing new system behavior, these capabilities bring AI directly into your IoT lifecycle.
AI-native tools built into your IoT workflow
Explore how AI simplifies troubleshooting, analysis, and support
Natural-language exploration of connectivity and device behavior
Instead of writing SQL, exporting logs, or contacting support for data pulls, you can ask questions about session history, SIM behavior, or fleet trends in plain English. AI transforms your question into a structured query and returns answers directly from platform data. (AI-powered natural-language analytics — Soracom Query)
Example:
“Show me all SIMs that switched carriers more than 20 times this week” or “Which devices stopped sending data in the last 6 hours?”
- Query session history, usage, and connectivity with natural language
- Identify unstable SIMs or weak signal areas
- Build BI dashboards using exported results
Common team challenges |
Data stuck in silos or hard to access Limited visibility into fleet behavior No easy way to integrate AI into existing tools Slow or manual reporting |
AI assistance through MCP-compatible tools
Bring IoT data into AI assistants using an open standard
By running a local MCP server that exposes Soracom data through the Model Context Protocol, you can use LLM clients like Claude Desktop or VS Code to interact with live SIM, billing, or device data. (Soracom MCP Server is currently in early access)
Example:
Engineering can ask: “Why is SIM X using more data this month?” or “Deactivate all test SIMs that haven’t connected in 30 days.”
Support can ask: “Show session history for this device and summarize anomalies.”
- Interact with Soracom APIs via a chat interface
- Allow AI to perform controlled fleet operations
- Consolidate data from your IoT systems into a unified MCP ecosystem
AI-enhanced platform services
AI-powered automation inside Soracom workflows
Use AI models to evaluate images, sensor data, or structured inputs before triggering downstream actions. Combine event-driven rules with generative AI for classification, decision-making, or validation workflows.
Custom, event-driven video analysis with LLMs
Send video segments to AI models for inspection when events occur—such as motion detection, workflow adherence checks, or safety monitoring.
Intelligent support experiences
AI-powered support, knowledge, and troubleshooting
Currently avaialble in Japan, Wisora gives teams an AI-driven knowledge platform that can ingest documentation, web content, and internal resources to provide instant, contextual answers for customer support or engineering teams.
Example:
Support can ask: “How do I configure a private gateway?” or “Why is this device failing to reconnect after a firmware update?”
- Build custom chatbots for customers or internal teams
- Ingest internal docs, web resources, PDFs, and more
- Integrate with existing ticketing systems
Talk with an expert about AI-driven IoT operations
Whether you want natural-language diagnostics, AI-supported workflows, enhanced support capabilities, or better analytics, our Solutions Architects can help.
Frequently Asked Questions
How does Soracom help me use AI without building my own pipelines?
Soracom provides built-in tools for natural-language querying, AI-enhanced automation, and MCP-based data exposure, reducing the need for custom ML infrastructure.
Do I need to export data manually for BI or analytics?
No. You can query data directly using natural language, export results when needed, or connect to Snowflake for enterprise BI tools.
How does video analysis work with Flux?
Flux AI Actions can ingest event-triggered video clips and send them to models like Bedrock or Gemini for classification or assessment.
Does this replace traditional analytics dashboards?
No. AI complements dashboards by offering fast, conversational insights without needing custom SQL or visualizations.
How do I get started with AI features?
Experiment with Query or Flux, deploy an MCP Server locally, or build a Wisora knowledge bot. A Soracom expert can help prioritize next steps.
Can I expose my IoT data to tools like ChatGPT or Claude safely?
Yes. The MCP Server exposes tightly scoped Soracom capabilities to LLMs using an open standard. You control which operations are allowed.
Can AI help troubleshoot device behavior?
Yes. Query and MCP-based tools can identify abnormal session patterns, repeated carrier switching, or connectivity drops directly from platform data.
Can support teams use these AI tools?
Absolutely. Wisora creates AI-driven knowledge systems that help support teams answer questions, troubleshoot, and assist customers.
Is AI usage governed by permissions?
Yes. MCP and platform rules enforce scoped access so AI agents cannot perform unauthorized operations.