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Product Platform

Signal intelligence that feels technical and clear at the same time.

Talos interprets vibration behavior and translates machine risk into plain-language guidance. Owners get early warning without needing to become diagnostic experts.

Early warning

Weeks before failure

Simplicity

Non-technical

App alerts

Plain language

Open signal demo
Live pipeline snapshot

From incoming telemetry to operator action.

Fault confidence trend
BaselineEarly warning thresholdEscalation
Sensing

A small sensor listens to vibration and sound on HVAC and refrigeration equipment.

Cloud-native AI

Talos checks incoming machine data in the cloud and flags early warning signs.

Operator clarity

Teams get simple phone alerts that explain what happened and what to do next.

Live pipeline map

From signal to action

Sensors
Vibration + acoustic streams from refrigeration and HVAC assets.
Edge Gateway
On-site capture, buffering, and secure forwarding.
Cloud Ingestion
Continuous upload into a scalable cloud pipeline.
Anomaly Models
12+ strategies evaluating anomaly signatures in real time.
Mobile Alerts
Actionable alerts with explanations for non-technical operators.

Purpose-built hardware with zero-friction deployment.

The Talos sensor is retrofittable, non-invasive, and magnetically mounts to existing HVAC units. It is built to generate its own power and is designed to never need service visits, battery swaps, or external charging in normal operation.

Retrofittable on existing commercial HVAC assets
Non-invasive install with magnetic attachment
Self-powered operation in the field
No scheduled service requirement under normal use
CAD model view

Production assembly for the current Talos hardware package.

Hardware reference

The same core enclosure shown in the interactive CAD preview, designed for non-invasive, magnetic deployment on existing units.

Loading exploded assembly

Preparing grouped CAD layers for a scroll-driven teardown.

Exploded hardware view
Mobile app

The same insights, but for everyone.

From alert triage to AI-guided fixes, Talos keeps diagnostics and recommended actions available directly on phone.

Alerts feed

Alerts feed

Operators see urgent issues immediately with clear priority labels.

Equipment list

Equipment list

A simple machine roster keeps every monitored asset one tap away.

Issue detail

Issue detail

Each event includes what was detected and why it matters.

AI troubleshooting

AI troubleshooting

Step-by-step guidance explains probable causes and next actions.

Signal intelligence demo

Live machine health profile

Signal intelligence demo

Live machine health profile

Vibration pattern
Highlighted region

Drift region Talos flags

Trigger point

Early warning trigger at x=27

What it means
We're seeing an unusual vibration trend that may indicate early wear.
What Talos thinks is happening

Pattern drift suggests early bearing wear, imbalance, or mount looseness.

Recommended next step

Schedule inspection in the next service window.

Chatbot summary

Talos Chatbot: We are seeing early signs of possible bearing wear, mounting looseness, or capacitor stress. Plan an inspection soon.

Abstraction walkthrough

How Talos simplifies complex machine signals

Three quick steps show how raw telemetry becomes clear action for operators.

Step 1

Raw machine signal

Dense sensor data with spikes and noise.

Step 2

Talos pattern translation

Noise is reduced so the trend is clear.

Step 3

Operator-ready output

Early wear trend detected on compressor.
Recommend inspection during next service window.

Simple explanation and recommended action.

In plain English

Talos isolates the meaningful pattern and ignores most irrelevant variation so teams can move directly from detection to action.

Reliability layers

Different layers optimized for reliability, explainability, and speed

Owners can move from detection to action without interpretation gaps.

1

Data acquisition reliability

Sensor and gateway behavior are tuned for noisy environments where uptime matters more than ideal lab conditions.

2

Model confidence layering

Multiple anomaly strategies are compared against baseline behavior to reduce false anomalies.

3

Operator-ready semantics

Severity, likely cause, and recommended action are generated in plain language, requiring no technical expertise.

Ready to see your equipment behavior translated into action?

We will walk through your asset profile, show how Talos flags fault trends, and map out a pilot that fits your service workflow.