Automating biopharma knowledge work with Convoke

Oct 1, 2025

In a fascinating discussion, Alex Telford and Maged Ahmed, co-founders of Convoke, explore the automation of knowledge work in biopharma. With Alex's background in life sciences consulting and Maged's expertise in AI and data infrastructure, they reveal how Convoke unifies diverse biotech data to enhance drug development. They share intriguing use cases, such as optimizing clinical trial design and improving regulatory writing, while discussing the importance of structured outputs, iterative processes, and trust in AI-driven insights.

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INSIGHT

Unified Workspace For Biotech Knowledge

Convoke unifies public and private biotech documents into one workspace to automate knowledge work across drug development.
This lets teams generate regulatory documents, competitive intelligence, and structured datasets from the same environment.

INSIGHT

Automating Knowledge Work End-to-End

Convoke's mission is to automate the knowledge work required to bring a drug to market, from small biotechs to top pharma.
The company raised seed funding and targets customers across the industry to scale those workflows.

ANECDOTE

Consulting Friction Sparked The Product

Alex explains his consulting experience where teams spent excessive time collecting and cleaning data before analysis.
That motivated moving from consulting to building a software platform using language models to automate data structuring and outputs.

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What if biotech teams could automate the most information-intensive parts of bringing a drug to market? In this episode of Data in Biotech, host Ross Katz speaks with Convoke co-founders Alex Telford and Maged Ahmed about building an AI-native knowledge acquisition and curation system for biopharma. Learn how they're transforming clinical research, regulatory writing, and competitive intelligence using LLMs, semantic search, and scalable data infrastructure.

What You'll Learn in This Episode:

>> How Convoke unifies public and private biotech data into a single workspace for smarter decision-making

>> Why structured outputs and semantic layers are key to high-quality AI-driven insights

>> Real-world use cases including clinical trial design, competitive landscape analysis, and regulatory documentation

>> How feedback loops and model evaluations drive product reliability and user trust

>> The future of AI in biotech: continuous decision-making and multimodal intelligence

Meet Our Guests

Alex Telford is Co-Founder and CEO of Convoke, an AI-native OS transforming drug development workflows. His background in life sciences consulting drives his mission to unify data and streamline outputs like clinical documents and regulatory submissions.

Maged Ahmed is Co-Founder of Convoke and a former AI lead at Applied Intuition. He brings deep data infrastructure expertise to biotech, aiming to reduce friction in regulated environments by automating knowledge generation.

About The Host

Ross Katz is Principal and Data Science Lead at CorrDyn. Ross specializes in building intelligent data systems that empower biotech and healthcare organizations to extract insights and drive innovation.

Connect with Our Guest:

Sponsor: CorrDyn, a data consultancy
Connect with Alex Telford on LinkedIn
Connect with Maged Ahmed on LinkedIn

Connect with Us:

Follow the podcast for more insightful discussions on the latest in biotech and data science.
Subscribe and leave a review if you enjoyed this episode!
Connect with Ross Katz on LinkedIn

Sponsored by…

This episode is brought to you by CorrDyn, the leader in data-driven solutions for biotech and healthcare. Discover how CorrDyn is helping organizations turn data into breakthroughs at CorrDyn.