Noesis is Aethair’s intelligent assistant designed to help you harness the full power of your environmental data on Environet, our environmental intelligence platform. Whether you're monitoring devices, identifying trends, analyzing air quality data, or generating reports, Noesis is your real-time partner for smart, data-driven decision-making.
Check out some of the example prompts at the bottom of this article to see how you can simplify manual processes, like Creating Alerts with Noesis.
We are always adding new features and expanding the abilities of Noesis, so be sure to check out our Newsfeed to see the latest updates.
What is Noesis?
Noesis is Aethair’s AI-powered support assistant embedded within Environet, our cloud-based environmental monitoring platform. It leverages advanced natural language processing to help users interact with the system more efficiently, enabling you to:
Ask complex questions about your environmental data
Create Alerts through simple text prompts
Quickly analyze large volumes of data
Identify trends and correlations
Detect anomalies such as smoke or pollution spikes
Summarize air quality status across facilities
Receive actionable recommendations
Generate formatted PDF reports from your environmental data
Review alert activity, including when alerts triggered and their duration
Ask questions about groups of devices by referencing Tags
Whether you're in the office, on-site, or in transit, Noesis is accessible 24/7—delivering fast, context-aware insights based on your organization’s real-time environmental data.
How to Use Noesis
Open Environet on your desktop or mobile device
Click Noesis in the sidebar navigation
Type a question, command, or request
Review AI-generated answers, insights, or recommended actions
Example Prompts
"What was the air quality today for office devices?"
"Detect any smoke during the last 6 hours for devices from the 5th floor."
Tip: Use clear, specific phrases for best results.
Referencing Tags
If your devices are tagged in Environet, you can reference a tag in a prompt instead of naming devices individually. Type the @ symbol followed by the tag name, and Noesis will pull data from every device carrying that tag.
"Give me an overview of @floor-1 air quality today."
"Detect any smoke in the last 6 hours for @floor-5."
Tags are useful when you ask about the same group of devices repeatedly, or when a group is too large to list in a prompt.
Only device tags are available to Noesis. Tags on reports, alerts, and dashboards are used for filtering within Environet and are not passed to Noesis.
To create and apply tags, see Tags.
New Chat and Previous Conversations
To begin a new conversation, click the + New Chat button. Noesis will open a fresh window where you can start a new query.
To revisit earlier interactions, click the Chats button. This opens a sidebar showing your previous conversations, allowing you to resume where you left off. This feature is especially helpful for referencing earlier analyses or summaries generated by Noesis.
Generate Reports with Noesis
Noesis can build a report from your environmental data and return it as a downloadable PDF. Define your question and set the scope, and Noesis analyzes the data and produces the file.
Prompt: "Generate a PDF report of PM2.5 for @floor-1 over the past 7 days with daily averages and any exceedances."
Response:
This is useful when you need a document to share outside Environet for compliance, audits, or stakeholder updates. For recurring or scheduled reporting, configure a standard report in the Reports section instead, where you can set a daily or weekly email schedule.
Analyze Reports with Noesis
Noesis can also be used directly within the Reports section to provide AI-assisted analysis of your air quality reports.
To access Noesis from within a report:
Navigate to the report you would like to analyze.
Click the Noesis button in the top-right corner of the screen, located next to the Actions button.
After clicking the button, a sidebar will appear on the right side of your screen. This is the Noesis panel for Reports. The first time you access it, click Start Conversation to begin.
You can interact with this version of Noesis just as you would elsewhere in Environet, with the added benefit of referencing the report you have open. This enables deeper analysis and helps you gain a more thorough understanding of the data and insights contained in your report.
Analyze Alerts with Noesis
Noesis is available on the Alerts page as well. Click the Noesis button, to the left of the Actions button in the top-right corner, to open the panel and ask questions about the alerts you have configured and how they have behaved. You can also ask about alerts from the main Noesis page.
Questions Noesis can answer about your alerts:
Which alerts triggered during a period, and how many times
How long an alert stayed Active before it Resolved
Patterns across repeated triggers, such as time of day, device, or site
A written summary of alert activity for a given period
Prompt: "Summarize alert activity for @office over the last 7 days."
Prompt: "Which alerts triggered most often last month, and how long did each stay active?"
Alert analysis draws on the Alert Events history for each alert, so an alert needs recorded events before Noesis has anything to report on. Note that editing an alert clears its event history and it is treated as newly created. See Creating & Monitoring Alerts for alert statuses and event history.
Alert analysis is returned in the Noesis chat. PDF export applies to device measurement data, so alert activity cannot currently be exported as a PDF. To capture alert events as a file, download the chart or table data from the Alert Monitoring page
Example Prompts
Creating Alerts with Noesis
Prompt:"Create an alert to detect smoke for our office devices."
Noesis interprets your instruction as a request to configure a new alert in your monitoring environment. It identifies the target devices, selects the relevant signal or classification model for smoke detection, applies default or learned thresholds, and drafts the alert configuration. The only remaining step is for you to set up email/SMS notifications.
In practice, the prompt removes manual setup. You describe the outcome you need, and Noesis builds an alert that fits directly into your workflows.
Device Downtime Analysis
Prompt: "What were downtimes for Site 1-4 devices during the last 24 hours."
Noesis retrieves operational data for the selected devices and runs a structured downtime analysis. It detects total downtime, uptime percentage, and can even provide a summary, insights, and recommendations. It then summarizes those events, including start and end times, total durations, and any detected patterns.
This eliminates the need for manual log review, giving you a clear view of device uptime and downtime.
Diagram Creation & Analysis
Prompt: "Create a scatter plot showing CO2 vs temperature in our office during the past 48 hours, and provide this as a downloadable PDF file."
Noesis analyzes 48 hours of continuous air quality data, produces a scatter plot comparing carbon dioxide and temperature, and delivers it as a downloadable PDF for use in compliance, reporting, or presentations.
You no longer need to manually produce charts, Noesis can organize the data and create the diagram for you.
Tag-Based Group Analysis
Prompt: "Compare CO2 levels across @floor-1 and @floor-2 yesterday."
Noesis resolves each tag to the devices carrying it, retrieves data for both groups, and compares them across the period you specify. On a large deployment, this replaces a prompt that would otherwise have to name every device.
Who Can Use Noesis?
Anyone with access to Noesis within their Environet account can benefit from its capabilities. Key users include:
Facility Managers seeking to optimize HVAC and building performance
Health & Safety Officers preparing for inspections and compliance audits
Environmental Engineers conducting field diagnostics and trend analysis
Compliance Teams generating rapid ESG documentation and reports
*Noesis is currently in development, and in a beta release. Any suggestions should be reviewed and evaluated for effectiveness before implementation.