Our mission at Biographica is to accelerate crop improvement, to feed a growing population on a changing planet.

The world is facing a food security crisis. We must produce more food in the next 50 years than in the previous 10,000 combined - and at a time when climate change is reducing crop productivity. 

Gene-editing represents a significant opportunity to address this challenge, by enabling rapid and precise enhancement of crop varieties. However, identifying which genes to edit and how remains a major bottleneck, costing millions of dollars, taking over 2 years, and failing more than 95% of the time.

At Biographica we're revolutionising this process, by harnessing recent developments in gene-editing, high-throughput sequencing and biology-aware machine learning. Our platform combines graph ML-based, in silico modelling with in vivo validation to rapidly pinpoint genomic modifications that can improve any trait, in any crop.

Gene-editing is the future of food. With our platform, we intend to become the gene discovery engine behind the crops of the future.

Agriculture & Farming

AgTech

Biotechnology

Biographica

Biographica's headquarters in Whitechapel, United Kingdom

Cecy Price

This department focuses on managing and overseeing investments to drive financial growth and opportunities.

Investment Management

This department focuses on developing and implementing machine learning algorithms and solutions to enhance technological capabilities.

Machine Learning Engineering

This department provides overall strategic direction and leadership for the organization.

Executive Leadership

This department focuses on conducting innovative scientific research and developing new products or solutions.

Research and Development

This department focuses on designing, coding, and testing software applications.

Biographica

Org chart

Teams

Investment Management

Machine Learning Engineering

Executive Leadership

Research and Development

Software Development

Offices

Biographica

Org chart

Teams

Investment Management

Machine Learning Engineering

Executive Leadership

Research and Development

Software Development

Offices

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