Solutions

DrugVoice unlocks the authentic voice of Healthcare Professionals and Patients

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PeopleVoice turns unstructured Employee data into strategic intelligence

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TMLabs

About TMLabs

TMLabs is our in-house Centre of Excellence for Data Science for Life Sciences – where we train, test, and refine proprietary models purpose-built to decode real-world health dialogue at scale

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Scientific Publications

Our Scientific Publications showcase the rigorous methodologies and validated outcomes behind our Data Science – demonstrating the impact of Talking Medicines Predictive Intelligence in peer-reviewed research

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Resources

Blogs

Our Blogs share insights at the intersection of data science, life sciences, and real-world health, covering trends, thought leadership, and innovation from the TM team

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The Talking Room

Discover how The Talking Room demystifies AI, LLMs, and Machine Learning, showcasing data stories and expert insights that transform Patient and HCP conversations into actionable intelligence

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Compliance Hub

The Compliance Hub outlines our commitment to data integrity, ethical AI, and regulatory standards, ensuring our intelligence is accurate, safe, and fully compliant

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ESG

Our ESG principles guide how we operate, driving responsible innovation, and reducing environmental impact through ethical operating and data practices

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About Talking Medicines

The journey of Talking Medicines began with a shared vision: to improve Patient outcomes and empower decision-makers across healthcare and Life Sciences. From day one, our mission has been clear, to blend innovation, quality, community, and transparency in everything we do.

Talking Medicines is Data Science for Life Sciences, applying proprietary, domain-trained technology to turn real-world data into intelligence that drives meaningful ROI. Our sector-specific platforms, DrugVoice and PeopleVoice, use Advanced Data Science and AI to structure this data, enabling organizations to make confident, data-driven decisions.

Founders: Elizabeth Fairley, Jo Halliday, Scott Crae

About TMLabs

Innovating Predictive Intelligence for Life Sciences.

TMLabs is the in-house research and development hub of Talking Medicines, created to push the boundaries of Advanced Data Science and AI including Natural Language Processing, Machine Learning, and predictive intelligence. Guided by our mission to close the intelligence gap in Life Sciences, TMLabs develops proprietary, domain-trained technologies that turn unstructured conversations into actionable insights.

By combining cutting-edge science with deep healthcare expertise, TMLabs ensures our solutions reflect the complexity of real-life data while delivering measurable impact.

Turn Complex Data Into Clear Intelligence That Drives Smarter Decisions

Message Alignment

Measure how key messages resonate and track changes over time, and link findings to ROI

Persona Development

Identify patterns, key characteristics, and distinctions within groups or populations of authors to inform strategy and uncover meaningful trends

Audience Intelligence

Gain a holistic view of your audience through sentiment and topic analysis, surfacing actionable intelligence through summaries and visualizations

Our World-Class Team

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Jo Halliday

CEO, Founder

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Dr Elizabeth Fairley

COO & CDO, Founder

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Dr Scott Crae MRCVS

Partnerships, ESG and Impact, Founder

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Al Sisto

Chairman

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Roma English Owen

AVP, Data Intelligence

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Ellie Halliday

AVP, Operations 

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Josh Eadsforth

Product Owner

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Kirsty Mursec

Data Quality Manager

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Lewis Boyd

ML Engineer

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Britteny Gibson

Global Customer Engagement, Manager

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Aishwarya Raman

Data Tech Analyst

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Jonathan Peach

Jr Data Intelligence Analyst

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Sandy Wedderburn

Jr Data Quality Control Analyst

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Will Staples

Jr Data Quality Control Analyst

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Anna Ruddell

JR Data Quality Analyst

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Kirsty Scott

Annotation Team Lead

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Millie Owens

Annotation Team Lead

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Anna Balmforth

Annotator

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Angus Scott

Annotator

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Emily Lake

Annotator

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Rishika Pasupulate

Annotator

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Neave Halliday

Annotator

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Mackenzie Holmes

Annotator

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Get in Touch

Start the conversation and see how unstructured data can become actionable intelligence