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Prosemble.bio, AI and nanotechnology therapeutics platform

The AI partner behind an AI-native biotech

Prosemble.bio is already an AI-native company - the question was never whether to use generative AI, but how far to take it. Moterra started with a Rapid AI Assessment scoped around four strategic biotech initiatives, and stayed on as Prosemble’s AI partner: an extended team adding generative AI capability to their propositions as new opportunities arise.

Client Prosemble.bio Sector Biotechnology - therapeutics & drug delivery Scale UK biotech startup; King’s College London, NVIDIA Inception and AWS affiliated Solution Rapid AI Assessment, Business AI Suite, ongoing AI partnership
What they got
Model benchmarking Tested on biotech tasks Claude 4 Sonnet, Nova Pro and Nova Lite compared on correctness, precision, recall and cost per query across molecular and toxicological reasoning scenarios.
Working sandbox From day one All four initiatives prototyped and stress-tested inside Moterra Business AI Suite - strategy turned into evidence before any production commitment.
An AI partner Not a one-off vendor Moterra now sits alongside Prosemble as an extended team, bringing generative AI into new initiatives and partnership opportunities as they emerge.
01

The situation

Prosemble.bio is a UK biotechnology company building a vertically integrated therapeutics platform powered by AI and nanotechnology - engineering protein-based nanoparticle systems to deliver drugs more precisely and reduce side effects. For a company already built on AI, the strategic question was where generative AI would create defensible leverage next, and who could be trusted as a long-term AI partner in a highly regulated, IP-sensitive environment.

02

What they needed

An evidence-based view, and a partner who could stay engaged as the science evolves.

Which use cases move the needle in drug discovery, and which do not?Which foundation model actually performs on molecular and toxicological reasoning?What does a production architecture look like on AWS, given the existing cloud commitment?Who adds generative AI to new biotech propositions without Prosemble rebuilding that capability internally each time?
03

What Moterra delivered

A Rapid AI Assessment scoped around four strategic initiatives identified with Prosemble’s team: retrieval-augmented reasoning over toxicological literature, a molecular Q&A agent for research teams, an AI-enhanced molecule visualiser, and a cost and risk model for portfolio decisions.

Stakeholder workshopsAcross executive leadership, R&D, bioinformatics and regulatory teams.
Comparative model benchmarkingFoundation models measured against biotech-specific tasks rather than generic evals.
Data readiness reviewAcross multi-omics sources and toxicological databases.
Solution architecture on AWSAligned with Prosemble’s existing infrastructure commitment.
Risk matrixCovering regulatory, IP-protection, model-accuracy and adoption dimensions.

Beyond the assessment, Moterra now operates as Prosemble’s ongoing AI partner - an extended team adding generative AI capability into their biotech propositions as new initiatives and partnerships emerge, with Moterra Business AI Suite as the shared platform for rapid MVP work and validation.

04

The outcome

Prosemble’s leadership got both: a defensible AI plan grounded in evidence, and an ongoing partner able to bring generative AI into every new biotech initiative - the kind of long-term foundation that regulators, investors and partners in pharmaceutical research expect.

“This tool is shaping the way we do business. It’s up there alongside mainstream AI tools like Copilot and GPT, and it’s developed and supported by an expert team.”

Inna Zhuranskaya, CFO and CIO of Prosemble Group Inna Zhuranskaya CFO / CIO, Prosemble Group
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