Prospective supplier review

Make your human dataset easier for serious AI buyers to evaluate and license.

Sonexis reviews organisations that hold or can lawfully license human data. This form is how you ask to be considered for that review.

It asks about rights, provenance, consent, metadata and quality control, because those are the things that decide whether a dataset can be used at all.

What the process does for a dataset that holds up

A serious AI buyer does not stall on price. They stall on rights they cannot trace, consent they cannot evidence, and a set whose fit they cannot test. This process is built to remove those three blockers before a negotiation starts. It is not a promise of demand.

Qualified requirements, not enquiries

Buyers submit a structured requirement: use case, languages, speaker structure, volume and timeline. Your data is matched against a stated brief rather than a browse.

A structured Dataset Passport

What was reviewed, what was established and what was not, in one document a buyer’s legal and technical reviewers can read without a call. See a worked example.

Controlled sample access

Evaluation material is shared under agreed conditions with a named recipient, rather than posted to a catalogue where anyone can take a copy.

Rights and provenance diligence, done once

Chain of title, permitted use and consent scope are worked through once, in a private process, instead of being re-litigated by every buyer who asks.

Buyer-facing evaluation

Fit is assessed against the buyer’s actual use case — ASR, voice agents, TTS, benchmarking — so a set is judged on the job it is for, not on a single quality score.

Commercial protection and managed transaction

Terms, permitted use and delivery controls are handled as part of the transaction. Your rights position is not weakened to close a deal, and a buyer licence never exceeds what you actually hold.

Where an application sits in the process

Submitting this form records an application and opens a review. It is not a listing, an approval, an offer, or a commitment to buy or license, and it creates no obligation on either side.

Organisation review and dataset review are separate. An approved supplier is an organisation Sonexis is willing to review datasets from; each dataset is still reviewed on its own rights, provenance, consent, metadata and quality control before it can be used.

Everything you write below is recorded as your declaration and treated as one until supporting evidence has been reviewed. That distinction is the same one a buyer sees in a Dataset Passport, and it is what makes a reviewed claim worth more than an asserted one.

Who should apply

A good fit

You own human speech, conversational or multimodal data, or you hold documented authority to license it.
You can explain where the data came from and how the people in it agreed to its use.
You can produce contracts, consent records or release evidence later, under a controlled private process.
You run, or are willing to run, a defined quality process over what you deliver.

Not a fit

Data scraped or harvested without a lawful basis for the use you are proposing.
Data where the chain of rights cannot be traced back to a source you can name.
Synthetic or model-generated material presented as human data.
Individual contributors offering their own voice. That is a different route — see applying to contribute.

What Sonexis reviews

Rights

Who holds them, what they permit, and whether they extend to commercial AI training and to the licence a buyer would need.

Provenance

Where the data actually came from, through every hand it passed, and whether that chain can be evidenced rather than asserted.

Consent

What the people recorded were told, what they agreed to, and whether that agreement covers the intended use.

Metadata

What is labelled, how consistently, and whether the labels mean the same thing across the dataset.

Quality control

How defects are found and corrected before delivery, and what happens to material that fails.

Commercial fit

Whether what you hold matches demand we can actually serve, on terms that work for both sides.

What happens next

Applications move through the stages below. Not every application reaches every stage, and progressing through one stage does not imply the next.

Application received

Your declarations are recorded and enter the queue for initial fit review. Evidence review comes later, and privately.
Initial fit review

We read what you sent against current and expected demand.
Information request

If there is potential fit, we ask specific follow-up questions in writing.
Controlled evidence review

Contracts, consent records, identity documents and sample material are exchanged through a private, agreed process — never through this website.
Dataset-specific review

Each dataset is assessed on its own rights, provenance, consent, metadata and quality control.
Commercial discussion where there is real fit

Terms are discussed only when a specific dataset has cleared review and there is genuine demand for it.
Approval, conditional approval, or decline

Conditional approval means named conditions must be met before anything proceeds.

Do not send evidence through this form

This form accepts typed answers only. There is no file upload on this page, and there is no way to attach anything to it.

Contracts, consent records, identity documents, audio, transcripts and datasets are handled later, in a controlled private process that we agree with you first. Please do not paste them here, and please do not include links to them.

Describe what exists in words. That is enough for this stage.