Introducing Sentien

Context AI that turns ambient audio into actionable context.

Sentien transforms ambient audio into contextual information, helping to sense the world around.

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How it works?

Audio in. Context out.

  1. STEP 1

    Sentien asking the user to choose an audio source, offering real-time microphone input or uploading a pre-recorded file.

    Input Ambient Audio

    Upload a recording or connect a microphone for real-time detection.

  2. STEP 2

    Sentien listing detected audio labels for a recording, each with an onset time and a confidence score.

    Context Sensing

    Sentien detects sounds, scenes and activities from audio.

  3. STEP 3

    Sentien's audio summary, counting detected onsets, labels, scenes and activities, with buttons to download the result as JSON or CSV.

    Structured Output

    Context is returned as structured data (JSON, CSV, etc.)

The model behind Sentien

One Signal. Multiple Layers of Understanding

One pass over the audio returns four parallel layers of context, each timestamped to the signal.

  • Audio labels What made the sound, with confidence
  • Scene context Where the recording is taking place
  • Activity context What is happening in the environment
  • Audio insights Signal characteristics over time
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Built for products that need context

Make your product aware of what’s happening around it

Sentien gives your product the context it needs to understand what’s happening around your users, so it can respond, adapt, and act intelligently.

  • Wearables

    Understand what’s happening around the wearer and create more adaptive, intelligent experiences.

  • AI & Agents

    Give AI systems environmental awareness so they can respond based on what’s happening around the user.

  • Research & Biosignals

    Add environmental context to EEG and physiological data to understand behavior in the real world.

  • Robotics

    Help machines understand their surroundings through sound and activity.

  • Smart Spaces

    Understand activities and events in homes, offices, classrooms, and other environments.

  • Security & Safety

    Detect meaningful sounds and events to help systems identify unusual or potentially important situations.

Our tailored solution for research application

Reliable real-world context sensing for mobile EEG and bio signals

Make long-term real-world data interpretable with context

Explore Research Solutions
The Eventag hardware tagger, a small rounded device with a single button.

Frequently asked questions

Curious about Sentien?

  • Sentien is a context layer for audio. Give it a recording or a live microphone stream and it returns a structured description of what is happening in it: the sounds that occur, the kind of place the audio was captured in, and the activity going on around it. It is an API and a web app rather than a consumer product.

  • Sentien reads several kinds of context from the same audio rather than assigning one label to the whole clip. It identifies sound events and when they occur, the type of scene the recording sits in, and the activity taking place. Each result carries a confidence value alongside it, so your own code decides how much weight to give it.

  • Yes. Sentien is designed to be called from your own software. You send audio, either uploaded or streamed, and receive context back as structured data such as JSON or CSV. There is no interface to embed and nothing a user has to interact with, so the output can feed whatever your product already does.

  • Anything that needs to act on what is happening around a user rather than on what they typed or tapped. That covers wearables that adapt to their surroundings, assistants that respond differently depending on the room, robots that use sound as well as vision to read a space, and research tools that annotate long recordings without someone listening through them.

  • A classifier assigns a clip one label from a fixed set. Sentien returns several layers from a single pass over the same audio, each timestamped against the signal, and they are meant to be read together. A sound that is ambiguous on its own can be interpreted against the scene it occurred in, which a single label cannot express.

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Ready to add context to your product?

No spam. We’ll only email you about early access to Sentien.