Real-world data.
For what comes next.
Better models need the context public datasets leave out. Neptune Data works with institutions to source and license data for AI training and evaluation.
Explore our focus
The record.
The context.
The permission.
Our focus
Two domains.
A deeper view of data.
We focus on records created through real interactions and specialist work, where context matters as much as the record itself.
The conversation.
And what happened next.
Speech, conversation context, and outcomes for voice and conversational AI.
Explore voice & conversationThe clinical record.
With its context intact.
Specialist clinical data for training and evaluating AI in the settings where it will be used.
Explore healthcareHow we work
Useful data starts
with the right
questions.
From a learning requirement to an access decision. Each engagement is shaped by the source and the intended use.
- 01
Define the learning need
Start with the model task, the missing records, and how you will judge whether the data is useful.
- 02
Assess the source
Examine provenance, coverage, linked context, preparation needs, and the authority to permit the intended use.
- 03
Evaluate a scoped sample
Agree a sample and review criteria with the relevant parties before committing to a broader dataset.
- 04
Structure licensed access
Define permitted uses, delivery, access restrictions, and commercial terms around the agreed scope.
For data partners
The data stays yours.
The terms start with you.
Research records, customer interactions, and institutional archives can support new AI use cases. A partnership starts by establishing what can be considered for licensing and who can authorise it.
- Which records and uses are in scope
- Who can receive or access the data
- What approvals and preparation are required
Start a conversation
What is missing from your training data?
Tell us what your model needs to learn, or what data your organisation holds.