{ Technology /}
Aureka Biotechnologies unites recursive self-improving systems , foundation models, and automated experimentation to accelerate the discovery of next-generation protein therapeutics. Our Agentic Drug Discovery Engine designs and prioritizes protein sequences; Automated Synthetic Biology builds them as protein libraries; and High-Throughput Cell-Based Functional Screening evaluates their activity at scale. Every cycle feeds experimental data back into the AI engine, closing a Generate-Test-Learn-Optimize loop that turns digital designs into therapeutic leads faster.
- High-Throughput Single-Cell Functional Screening
Our proprietary high-resolution and high-throughput single-cell functional screening platform enables us to significantly increase discovery efficiency while generating indexable, content rich data for each cell. This results in abundant, high-quality training sets for our deep reinforcement learning techniques.
- Automated Synthetic Biology
We develop high-throughput synthetic biology technologies to discover, synthesize, and characterize therapeutic candidates at scale.
Our scalable evolution technologies use highly diverse libraries to explore protein sequence, structure, and function, enabling discovery and large-scale data generation. These experimental data power our protein language model, supporting de novo protein design and optimization across multiple properties at scale.
- Agentic Drug Discovery Engine
We are building a data-centric foundation model that transforms proprietary biological data into actionable scientific intelligence. Agentic workflows connect data curation, scientific reasoning, and experimental design to identify what to learn next and guide high-value data generation.
