We’re excited to introduce a powerful new feature on our platform: the ability to stream IoT sensor data directly into your chatbot’s context window. This isn’t about triggering an external API tool call—it’s about augmenting the bot’s real-time understanding of the world.
How it works
IoT sensors—whether connected via MQTT, HTTP, or other protocols—can now send live data to our system. These values are not fetched on-demand via function calls. Instead, they’re continuously injected into the active context window of your agent, making the data instantly available for reasoning and conversation.
Real-World Use Cases
🏃♂️ Fitness and Weight Loss
A health coach bot can respond based on your real-time activity:
“You’ve already reached 82% of your 10,000 step goal—great job! Want to plan a short walk tonight?”
Or reflect weight trends from smart scales:
“Your weight dropped by 0.8 kg since last week—awesome progress! Should we review your meals today?”
⚡️ E-Mobility and Charging
A mobility assistant knows your car’s charging state:
“Your battery is at 23%. The nearest fast charger is 2.4 km away—shall I guide you there?”
Bots can also keep track of live station availability and recommend based on up-to-date infrastructure status.
🏗 Accessibility and Public Infrastructure
A public-facing city bot could say:
“The elevator at platform 5 is currently out of service. I recommend using platform 6 and taking the overpass. Need directions?”
Perfect for people in wheelchairs or with limited mobility.
🏭 Smart Manufacturing and Industry
A factory assistant can act on process data:
“Flow rate on line 2 is below target. Should I trigger the maintenance routine for the filter system?”
This allows for natural language monitoring, error detection, and escalation—all in real time.
What Makes This Different?
🔍 Contextual Awareness, Not Tool-Calling
Sensor data is part of the active reasoning window—not fetched via a slow external call, but immediately available to the model during inference.
🤖 True Multimodal Awareness
Bots now reason not just over language but also over live numerical signals—physical reality meets LLM intelligence.
🚀 Plug & Play Integration
Bring your own sensors: from wearables to factory machines to public infrastructure. We help you connect them.
In Summary
This new feature unlocks unprecedented potential for intelligent agents—combining the power of conversational AI with a live, evolving understanding of the physical world. Whether you’re building a wellness coach, a mobility assistant, or an industrial controller, your agent can now think with real-world data in real time.
Reach out if you’d like to get started!