AI case studies in Sciences

Explore how Brainpool uses large language models (LLMs) to automate content generation and analyse unstructured information. Our projects include generating Life Sciences press releases from domain-specific information and analysing customer-service reports to identify likely appliance faults. These examples show how AI can streamline information-heavy workflows.

2 case studies

Sciences

LLM for automated press release generation

The challengeThe team spent 3–4 hours a day researching and writing press releases for Life Sciences clients.

The outcomeAn estimated 50% less time on manual content production

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SciencesLLM for automated press release generationOur client’s team currently spends 3-4 hours a day manually researching articles and writing press release content for their clients in the Life Sciences sector.Brainpool team designed an LLM-based system that automates the manual content production and generates press releases based on the domain-specific data uploaded for each client account.The tool is estimated to reduce time spent on manual content production by 50%.Back

Sciences

LLM for customer services automation

The challengeEngineers needed to know which appliance part had failed before their first visit.

The outcomeFault prediction accuracy up from 50% to 80%

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SciencesLLM for customer services automationAutomation of customer services call centre report processing with Large Language Models.Our client provides repair services for home appliances in the UK. Brainpool’s team of AI experts developed an LLM-based system that detects what part of a home appliance (e.g. washing machine) is broken, based on the call centre report.Thanks to this AI-powered analysis an engineer can bring the right part to fix the appliance on the first visit. LLMs improved the accuracy of the client's predictions from 50% to 80%.Back

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