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Few organisations combine scientific rigour with operational experience building data companies. Our team has delivered datasets for over 150 AI and ML projects. That expertise benefits the startups, providers and partners we collaborate with. Here’s how:

Startups

We eliminate data constraints that are limiting scientific progress. in any domain, and for any data type.

Commercial Data Providers

Data are a valuable resource for AI in science. We help providers build sustainable licensing functions, whatever stage they are at.

Research & Public Sector Partners

Startups benefit from data held by non-profits, but often lack access. We partner to offer a path for early ideas to use these data.

Data Strategy

Identify options for acquiring training and inference data, including open source and non-public datasets.

Data Acquisition

Securing licensing agreements with providers, including defining technical & rights requirements and supporting commercial negotiations.

Data Curation

Preparing data for use in AI and ML workflows, including structuring, cleaning and enriching data.

Opportunity Research

Understand current uses for your data with AI and ML, including their value to users and areas for future innovation.

Technical Requirements

Recommend technical setup users need for data to be effective, including metadata, format, delivery options and quality standards.

Commercial Execution

Design repeatable and scalable commercial structure, including licensing model, pricing structure and training sales teams.

Opportunity Research

Explore how your datasets could support work in AI and scientific research, and areas for future innovation.

Research Collaboration

Collaborate with non-profit partners to co-author and publish research and case studies on relevant topics in science and AI.

Example

Identified sources of training data (materials properties) for startup developing sustainable alternatives to polymers.

Example

Developed a commercial strategy (including pricing) for a healthcare and pharma compliance data provider.

Example

Collaborated with a rare-diseases charity on the scientific value of open datasets for drug repurposing.

Startups

We eliminate data constraints that are limiting scientific progress. in any domain, and for any data type.

Data Strategy

Identify options for acquiring training and inference data, including open source and non-public datasets.

Data Acquisition

Securing licensing agreements with providers, including defining technical & rights requirements and supporting commercial negotiations.

Data Curation

Preparing data for use in AI and ML workflows, including structuring, cleaning and enriching data.

Example

Identified sources of training data (materials properties) for startup developing sustainable alternatives to polymers.

Commercial Data Providers

Data are a valuable resource for AI in science. We help providers build sustainable licensing functions, whatever stage they are at.

Opportunity Research

Understand current uses for your data with AI and ML, including their value to users and areas for future innovation.

Technical Requirements

Recommend technical setup users need for data to be effective, including metadata, format, delivery options and quality standards.

Commercial Execution

Design repeatable and scalable commercial structure, including licensing model, pricing structure and training sales teams.

Example

Developed a commercial strategy (including pricing) for a healthcare and pharma compliance data provider.

Research & Public Sector Partners

Startups benefit from data held by non-profits, but often lack access. We partner to offer a path for early ideas to use these data.

Opportunity Research

Explore how your datasets could support work in AI and scientific research, and areas for future innovation.

Research Collaboration

Collaborate with non-profit partners to co-author and publish research and case studies on relevant topics in science and AI.

Example

Collaborated with a rare-diseases charity on the scientific value of open datasets for drug repurposing.

Some of the companies and organisations we have worked with:

Testimonials

“We knew our data have strong potential for use with AI, but were unsure where and why. The Nascent Studio team gave us a detailed perspective on value and excellent ideas to pursue in future”

“The team’s experience with data and speed to learn an industry stand-out. In a short time, they developed a model that our team could implement quickly. It wasn’t just an interesting concept.”

“Licensing data is surprisingly complicated for startups. Their knowledge of what exists, who owns it, and how to get access saved us months and we couldn’t have done this alone."

Interested in exploring more examples and seeing what’s possible for your organisation?