Our team bring together scientists and engineers with diverse skill sets, ranging from biology and chemistry to statistics and machine learning. We work with both small startups and big pharmas to leverage digital power in order to enable the development of new therapies. We contribute to the entire drug discovery process, from target identification and validation, to compound design and clinical trials. We make bioinformatic workflows and software with human-readable code, as well as machine learning models that “understand” biological data and provide cutting-edge solutions for Precision Medicine.
Target identification
Target Validation
Hit generation
Hit to Lead optimization
Preclinical
Clinical Trials
Our power lies in the mix of three digital skills: bioinformatics, AI & Data Science and Software Engineering. Read more about our skills and projects.
Bioinformatics analyses share common workflow that allows to abstract from technicalities of raw data towards specific biological insights.
At each step technical expertise, diligence and attention to quality is required. Depending on your data, we can conduct a variety of analyses at different levels of detail to suit your specific research needs.
An image is worth a thousand words, and relevant, explorable data can be worth billions. Explore your data, results and analyses in detailed reports and apps with revealing visualizations.
Advanced machine learning models help to leverage the wealth of data in biology. Meaningful application of AI models in bioinformatics demands expertise you can find with us.
The majority of published scientific research is irreproducible in its full form. Data processing pipelines enable the requisite reproducibility application to large data.
Ardigen’s services focused on small molecules integrate the power and efficiency of AI and ML with the accuracy and precision of Computer-Aided Drug Design (CADD) techniques. From computational chemistry and molecular modeling to rational drug design, we turn data into discoveries.
Why partner with us:
We help you to discover value in your data by applying our tailored AI methods, automate the workflow and make it usable at scale.
We are experts with data modalities critical for life science, laying a robust foundation for model building and leveraging synergies.
Our team designs, tunes, and validates algorithms, achieving remarkable improvements in pattern identification and predictive accuracy.
By implementing MLOps tools, we ensure that your models are practical and scalable solutions for real-world applications.
Our SA-AbMILP model transforms the way we assess disease activity, providing a detailed analysis of biopsy samples.
Drawing from our past experiences, we have developed a concept of reference architecture to visually guide and simplify discussions about this complex topic. It helps to assess the digital maturity of teams and serves as a reference map for planning new projects.
Harnessing the power of automation, scalability and customizability, we’re streamlining how you process and analyze your data. At any stage of your
drug discovery process, we support the transformation of raw data into valuable scientific insights. With our knowledge and expertise, we follow a structured and efficient path from data acquisition to actionable knowledge in research and analysis.
Why partner with us:
INTERDISCIPLINARY EXPERTISE: Our cross-functional teams of software developers, bioinformaticians, and scientists deliver integrated solutions.
GLOBAL COLLABORATIVE NETWORK: Extending capabilities through strategic partnerships with industry leaders like Seqera Labs (Nextflow creators and developers) and AWS.
PROVEN EXCELLENCE: With 9+ years in the field, 400+ successful projects, and a growing team of 20+ Nextflow developers, we set the industry standard.
COMMUNITY CONTRIBUTORS: Active participation in nf-core and OpenPipelines communities, demonstrating our commitment to the advancement of the field.
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