A DNA Design Company

Biology holds a great potential to transform our world. Yet, today's methods are lacking scalability and engineering precision.

With this limitation, we are not fully leveraging biology to solve sustainability challenges.

DNA is the fundamental language of life and we interact with life through DNA sequences.

We developed an AI-powered DNA Design Platform which understands and speaks the diverse dialects of life.

Imagine ChatGPT, but for designing DNA sequences.

Our platform enables precise and predictable DNA engineering. We specialise in:

• Multi-organism compatibility
• Advanced codon optimisation
• De novo DNA design and optimisation
• Novel pathway engineering and refactoring.

We bridge the gap between the complexity of biological systems and the precision of engineering, enabling us to design DNA sequences that perform reliably and efficiently.

Whether optimising gene expression across various organisms or constructing entirely new biological pathways, our expertise ensures that your genetic designs are both predictable and effective.

We empower researchers and innovators to push the boundaries of what's possible in synthetic biology.

With predictable DNA design, we reduce experimantation.

With our platform we create DNA constructs that are optimised and tailored to specific biomanufacturing needs. Our predictive models enable us to test and refine millions of designs computationally, selecting only the most promising candidates for biological validation.

This focused approach minimises trial-and-error, accelerates time-to-market, and ensures superior outcomes in production efficiency.

• AstraZeneca BioVentureHub visit
  We we were invited along with 4 other Norwegian biotech startups for an amazing experience to visit the AstraZeneca BioVentureHub in Gothenburg, Sweden. Read more on LinkedIn
• New grant
  We are honoured to contribute to the Global Centre initiative led by Prof. Tae Seok Moon from the Craig Venter Institute, supported by funding from the U.S. National Science Foundation. Read more on LinkedIn
• Finalist
  We are thrilled to be among the selected finalists in the Mass Challenge Switzerland. Read more on LinkedIn
• Interview
  Our CEO Rahmi Lale, have had an interview with European Synthetic Cell Initiative. Read more on https://syntheticcell.eu/
• New grant
  We are proud to take a part in a Research Council of Norway grant, led by NORCE in Bergen, focusing on omega-3 production, with the title "SafePhaeO3: Data-driven engineering of microalgal biofactories for safe and efficient omega-3 production."

• National Science Foundation, Global Centers Programme, US
  CIRCLE - Center for Innovative Recycling and Circular Economy. Project partner
• Horizon Europe, EU
  Targeting aquatic extremophiles for sourcing novel enzymes, drugs, metabolites and chemicals. Project partner
• Horizon Europe, EU
  From solar energy to fuel: A holistic artificial photosynthesis platform for the production of viable solar fuels. Project partner
• EuroHPC - Joint Undertaking, EU
  Expanding AI-based DNA Design Platform to all Domains of Life. Project leader
• Innovation Fund Denmark - AgriFoodTure Programme, Denmark
  Enhancing Growth and Performance of Cultivated Muscle Cells through Targeted Hydrolysis. Project partner
• The Research Council of Norway - Enabling Technologies Programme, Norway
  SafePhaeO3: Data-driven engineering of microalgal biofactories for safe and efficient omega-3 production. Project partner

• The Research Council of Norway, Commercialisation Grant.Project leader
• Innovation Norway, Start-up grant. Project leader
• Innovation Norway, Mentor programme. Project leader

• European Innovation Council x SynBEE Pitch competition, among the three winners.
• Adolf Øien's Start-up Award

• Khan EA, Rückert-Reed C, Dahiya GS, Tietze L, Fages-Lartaud M, Busche T, Kalinowski J, Shingler V, Lale R. 2024. High-resolution mapping of Sigma Factor DNA Binding Sequences using Artificial Promoters, RNA aptamers and Deep Sequencing. Pre-print @ bioRxiv
• Dahiya GS, Bakken TI, Fages-Lartaud M, Lale R. 2023 From Context to Code: Rational De Novo DNA Design and Predicting Cross-Species DNA Functionality Using Deep Learning Transformer Models. Preprint @ bioRxiv.

We would love to hear from you.