Dashboards are the most selfish things engineers develop. ChatIOT kills dashboards, ChatIOT turns any database or DataStream into an SMS-based decision support system (DSS).
Dashboards are the most selfish things engineers develop. The megalomanic ability to access all possible data sources, pull in different dimensions to compare then filter by time and pre-configured tags. This hubris often extends to the ability to configure the dashboard itself, a misguided attempt to make a single interface work for a diverse audience of users.
Dashboards are for people that work with data, not people that need data-based guidance on other work they are doing.
Sensors are for people that want that guidance: Are my plants happy? How big is my dirt pile?
Analytics and AI are for people that don't just want data, they want interpretation: Should my plants be happy? Should my dirt pile be bigger, smaller, different?
Really, most sensor products don't deliver on their original promise of making their customers' lives easier, and reducing their workload. They actually add a new type of work to their plate, work that many in agriculture, for instance, are not trained or experienced in performing.
These customers don't want a dashboard, they want a decision support system (DSS). They want the right data and interpretation delivered to them, at the right time.
ChatIOT kills dashboards, ChatIOT turns any DataStream into an SMS-based decision support system.
ChatIOT is built on OpenAI's GPT-4o Assistants platform. We aren't ashamed of this as ChatIOT isn't masquerading as an AI start-up, ChatIOT is a user interface platform.
For the end user - ChatIOT is a contact on their phone, a mobile number that they converse with over SMS or WhatsApp. After hard-coded security and credentials logic, the messages they send get interpreted by a bespoke AI assistant. That AI assistant is developed by ChatIOT to have access to that customers databases, this can be things like user accounts, but primarily these are Realtime data streams. The AI assistant is able to intelligently query these data sets based on the message received by the user. It is able to provide data and visualise it on graphs. But most importantly, interpret and provide recommendations based on pre-configured guidelines and best practices.
Our customers are not just the end users of sensor platforms, our customers are the smart technology companies better seeking to service their users.
For an AgTech company, if their user wants to know whether to water their plants:
Currently:
Their users need to log in to the dashboard (no small feat in Agtech), navigate to the correct site and sensor they are interested in, filter or hover their mouse over the most recent data point on the right graph to see the current soil moisture reading. The user then has to rely on their own knowledge and decide what to do. (or if they are a staff member on site, rather than the agronomist themselves, draw upon some memory of policy, or likely they'll pick up the phone to the expert anyway and ask them).
With ChatIOT:
The user TXTs ChatIOT "Should I water the plants?". ChatIOT responds "Based on your DropTech sensors: Row 15, Block A & Row 8 Block E have soil moisture levels of 3% & 5% respectively. Based on our best practice guidelines, you should water these blocks within 24 hours. All other areas have soil moisture within target ranges".
These two experiences are a world apart. On top of this sits quality of life features vital to operationally complex corporates. ChatIOT can give the right person a heads up that this question has been asked, and the recommendation provided. It can even autonomously detect that the watering did indeed take place as recommended, providing closed-loop visibility that simply is not there in many operationally complex business contexts.
ChatIOT massively differentiates any sensor company that comes on as a customer. ChatIOT turns negative user experiences into positive ones, and more importantly, non-engagement in a sensor system to full operational adoption. ChatIOT grows customer accounts, and reduces churn for its customers.