The operation layer for the Data-to-AI Value Chain

Live context from the signals most platforms can’t reach, in production, end to end.

Local voices become connected knowledge. Pulse brings live signals into a knowledge graph, grounding answers in what people are actually saying.

A smiling presenter wearing headphones sits at a studio microphone.
Listening starts with people. Photo: AJ Collins Artistry / Pexels. Illustrative, not a Pulse partner.

Live signals we ingest

Broadcast radioTranscribed in real time

Live audio becomes searchable text, with timestamps, attribution and the original clip kept alongside it.

Local newsReporting, in context

Local reporting enters the same stream, with the original article and its source provenance intact.

Social signalsInstagram, TikTok, YouTube, X

Signals from Instagram, TikTok, YouTube and X arrive via partner surfaces and webhook ingestion. The source post stays linked to the signal.

Plus events and public information.

Pulse Context

A continuously curated knowledge graph, connecting signals, context and original sources.

Grounded answer

Illustrative example

What changed for visitors today?

The seafront market has moved indoors. The radio update, local report and organiser’s post agree.

Radio clip

Example radio update
“Today’s seafront market is moving indoors because of the weather. The opening time is unchanged.”

Synthetic narration for this fictional example, not a broadcast recording.

News article

Example local report
Market organisers confirm an indoor venue for today. Visitors should use the covered entrance.

Fictional source text, not a published article.

Social post

Example organiser’s post
We’re indoors today. Same market, same opening time. Follow the signs to the covered entrance.

Fictional source text, not a live social post.

Every signal keeps its source. Every answer can be checked.Example answer and sources are illustrative. Explore the value chain →

The whole value chain.
Not another missing piece.

From live signals to deployed capability, with feedback at every stage.

  1. 01

    Data Collection

    Live signals, with provenance
  2. 02

    Data Curation

    Structured and source-linked
  3. 03

    Model Training

    Training and continuous evaluation
  4. 04

    Deployment

    Answers people can verify
  5. 05

    Impact and Reuse

    Traceable value, returned

We don’t pick one stage of the value chain. We run the whole thing.

See the platform

Local knowledge,
connected.

A transcript tells you what was said. A knowledge graph connects it to the people, places and events it describes.

Pulse keeps those relationships linked to the original evidence. When a venue changes on the radio, that update becomes part of the same connected picture as the listing, the event and the organiser’s post.

Explore the knowledge graph
Signals connected through a knowledge graphA radio update, news report and social post connect to one market event. The event connects to its organiser and venue. All connections retain their source.Radio updateNews reportSocial postOrganiserIndoor venueToday’s openingMarketevent
Illustrative relationships. Every connection leads back to a source.
A vendor serves customers at a busy outdoor market.
Everyday market life. Photo: Jones Jr Studio / Pexels. Illustrative, not a Pulse deployment.

Every signal starts
with someone.

A presenter shares an update. An organiser changes a plan. A small business opens its doors.

That knowledge matters to the people deciding what to do next. Pulse makes it visible to AI without losing the voices and sources behind it.

We started in Barbados. The infrastructure is built to serve other places, each with its own language, businesses and culture.

See where it helps

What’s happening in your context?

Start with your signals, your language, and the questions that matter.