Real data.
Real potential.
Licensed audio, video, and creator content
for the next generation of AI.
Human voices.
Richer understanding.
Every voice brings a perspective.
Explore recorded conversation through audio, video, and the context around it.
Get close
to the conversation.
English conversations
Recorded podcast conversations. Audio, video, transcripts, and the context around them.
Two-speaker conversations
Back-and-forth dialogue, with individual speaker media where recorded.
Solo speech
Long-form, single-speaker recordings with audio, video, and transcripts.
One conversation.
A richer picture.
Look at how camera views, speaker turns, and transcript context can fit together.
THE RECORDING CONTEXTMore than
a media file.
This interactive example uses AI editorial images and a synthetic transcript. Request actual collection samples for evaluation.
Request a sampleUseful data begins
with a clear connection
to its source.
The people who made it.
The permissions behind it.
The context that makes it meaningful.
Built around
human conversation.
Start with what your model needs to understand. Get closer to the recordings that could help.
Understand the way we talk.
Evaluate long-form conversation, natural phrasing, and spoken language against your transcription task.
Explore the use case
Follow the exchange.
Explore speaker turns and individual source tracks where recorded. Assess speaker mapping on a selected sample.
Explore the use case
Put the words in context.
Consider audio, camera views, and transcripts together for models working with human conversation.
Explore the use case
Start with a meaningful sample.
Define the evaluation task, examine the recording conditions, and agree the annotations you need.
Explore the use caseThe media.
And what makes it usable.
Explore a delivery structure. Final files, annotations, and documentation are confirmed for your collection.
The visual context.
Individual and combined camera views where recorded. Resolution, frame rate, and codecs are specified for the selected files.
Download example manifest- Example frame
- 1920 × 1080
- Example frame rate
- 25 fps
- Actual delivery
- Confirmed per source file
Confidence in
every handoff.
Technical fit and clear permissions
belong in the same conversation.
Connected to its source.
Review source references, recorded media, and the relationship between each session and its files.
Explore rights & provenanceClear about its permissions.
Inspect the applicable ownership, consent, permitted-use, and restriction fields during private diligence.
Review the diligence processDefined down to the handoff.
Confirm source pairing, technical properties, available annotations, and the manifest for your selected delivery.
See how we workFrom a brief
to a defined delivery.
Start with what you need the model to understand.
We work back to the source.
01Start with your model.
+
Tell us the task, modalities, volume, languages, recording conditions, and timeline. We use that brief to define the search.
02Get close to the source.
+
We distinguish available material from content that would need to be sourced or commissioned. Samples and source context help you evaluate fit.
03Agree what matters.
+
Align on permitted use, known restrictions, specifications, annotations, commercial scope, and the exact delivery requirements.
04Make the handoff explicit.
+
An approved delivery can include a versioned manifest, technical specifications, provenance references, and integrity evidence for the transferred files.
A particular task.
A considered collection.
Need different participants, recording conditions, or annotations? Share the brief. We’ll assess what can be sourced or commissioned around it.
Your perspective.
New possibilities.
Give your audio, video, or creator library a new context through AI licensing. Keep ownership of your work while we help connect it with relevant buyers and document the scope.
License your libraryGo deeper.
See the bigger picture.
Clear from
the beginning.
For AI teams and the people
who own the media.
What is currently in the FIUND catalog?
Explore English podcast recordings with audio, video, and transcripts, including natural dialogue and solo speech. Each collection page explains its content, formats, and use cases. Other categories may require sourcing or commissioning.
Can I review a sample before licensing?
Yes. Send a sample request identifying the collection and your intended evaluation. We will confirm the available material and review scope. The interactive homepage demonstration uses editorial imagery and a synthetic transcript; actual collection samples are reviewed separately.
Which annotations are included?
Available transcript files and other annotations are listed for the selected collection. Precise alignment, speaker mapping, additional labels, and human review are confirmed for the chosen files or scoped as additional work. Source media and commissioned refinements are identified separately.
What is AI training data licensing?
A signed agreement that lets an AI team train models on media someone else owns — audio, video, images or text — in exchange for payment. The licence spells out what can be trained, for how long, and what rights travel with the data, so nobody is relying on fair-use guesses.
How do AI teams license audio and video data?
You send a spec: modality, language, hours, recording conditions. We match it against libraries whose owners have agreed to license, clear the rights, and deliver the data under a licence that grants AI-training use explicitly. One agreement covers the whole delivery.
What kinds of content can be licensed for AI training?
Original audio, video, creator UGC, motion capture, sensor data, task demonstrations, and other media may be licensable when the supplier controls the relevant rights and the proposed AI use, identifiable people, embedded works, privacy, and contractual restrictions are addressed. A category page is not an availability claim; a particular collection still has to pass review.
More about licensing and permitted use
Can an AI team buy training data with commercial rights?
Yes, through a written buyer licence. The agreement should identify the dataset, approved AI purposes, production or evaluation scope, recipients, term, territory, retention, and restrictions. A download, public post, or evaluation sample is not automatically a production-training grant.
Is scraped data safe to train on?
Public accessibility alone does not establish permission for a proposed AI use. Buyers should examine the source, applicable permissions, privacy considerations, restrictions, and intended use. Our rights guides explain the questions to raise during diligence.
How do data owners get paid?
Per licence. You keep ownership while fiund handles AI licensing under one contributor agreement, and you are paid each time an AI team licenses your material. What a deal is worth depends on modality, exclusivity and volume — the payouts guide explains how deals are structured.
What does rights-cleared mean?
Every permission needed for AI training is secured in writing before data changes hands: ownership confirmed, training rights granted explicitly in the licence, and voice and likeness consent covered wherever people are identifiable.
How does fiund verify provenance and consent?
We connect each approved asset to its source, owner or authorized licensor, applicable agreement, consent status, known restrictions, and file-level manifest. Unresolved material is held back instead of being described as cleared.
Does fiund authorize voice or likeness cloning?
No. fiund’s standard contributor terms do not authorize a buyer to create a synthetic replica, clone, or voice or likeness model intended to imitate an identifiable person, or use that identity to imply endorsement.
How much does it cost to license training data?
There is no universal rate card. Pricing is scoped to the content type, task fit, volume, source quality, metadata, consent and diligence work, permitted uses, delivery requirements, and any requested exclusivity. A quote follows the actual brief and verified inventory.
How quickly can fiund respond to a dataset brief?
fiund targets an initial scope and availability response within two business days. That response distinguishes current inventory from data that would need to be sourced or commissioned; it is not a promise that every collection can be delivered in that window.
What documentation arrives with licensed data?
An approved delivery can include the buyer licence, a versioned file manifest, data dictionary, technical specifications, provenance and consent references, known restrictions, and integrity evidence for the exact transferred set.
The next breakthrough
starts in the real world.
Tell us what you're building.
Let's find the data to move it forward.
Editorial imagery is AI-generated. Collection availability, permissions, and final scope are confirmed against your brief.