Technology matrix
38companies and institutions
Map the field
We mapped 27 companies and 11 academic groups using websites, patents, journals and startup databases.
Case Study · Partner Scouting
Scouting AI partners to predict peptide efficacy.
A global cosmetic ingredients company wanted computational partners that could predict how peptides perform for anti-aging, hydration and more, without traditional screening. We mapped the field, interviewed the leaders and made introductions.
The Client
The client is a global cosmetic ingredients company with an active peptide innovation pipeline. It wanted AI and machine learning partners that could predict peptide efficacy across endpoints such as anti-aging, hydration, brightening and barrier repair.
The Challenge
Look beyond pharma.
Find real white space.
Most computational peptide expertise sits in biotech and pharma, maturity ranges from academic research to commercial platforms, and some providers are already tied to competitors. Prescouter was asked to find genuine partnership options.
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Reach
Adjacent expertise
Players outside cosmetics with transferable peptide prediction capabilities.
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Maturity
Platform readiness
How far each provider has come, from academic research to commercial grade.
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Exclusivity
Open partners
Which providers are free of exclusive deals with competitors.
Our Approach
Building the shortlist through landscaping and outreach.
Evaluation
5evaluation criteria
Score on what matters
Each candidate was scored on peptide types, cosmetics experience, validation and accuracy, lab support and exclusivity.
Direct outreach
9candidate interviews
Test the interest
We interviewed 9 prioritized candidates and introduced the client to the 3 with the strongest mutual interest.
The Outcome
Three partners, ready to talk.
Prescouter delivered a ranked shortlist of computational partners, giving the client a validated, de-risked set of options for its peptide pipeline, and introduced it to the three companies with the strongest mutual interest so it could move straight into partnership talks.
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Shortlist
A ranked partner list
Validated computational partners, narrowed from 38 candidates.
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Introductions
3 direct connections
Companies with the strongest mutual interest, ready for partnership talks.
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Risk
Clear exclusivity picture
Which providers are already tied to competitors, and which are open.
The right AI partner for cosmetics may not work in cosmetics yet. The skill is spotting who can make the jump.
Let’s Talk
Who could accelerate your pipeline?
Find and connect with the technology partners that fit your goals. Wherever you're starting from, we'll help you get there.
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