Ingenie Bio

Ingenie Bio is an Australian-based consultancy focused on the application of artificial intelligence to molecular design in the life sciences. We specialise in computational services that support the discovery and optimisation of peptides, proteins, and other biologically relevant molecules.

Founded by Dr. Fabien Plisson, a researcher with experience in bioinformatics, drug discovery, and peptide design, Ingenie Bio works with academic groups, startups, and small-to-medium biotech enterprises. Our goal is to make advanced modelling tools more accessible, helping clients explore complex biological data and design molecules with desired functions and properties.

We offer services in data mining, predictive modelling, and virtual screening, with a particular focus on machine learning-guided peptide and protein design. In parallel, we give educational and advisory support to help teams build capacity in computational biology and AI. As a lean and collaborative operation, Ingenie Bio aims to meet each client at their level of readiness, offering flexible support that complements their existing expertise and project needs.

Ingenio Bio helps organisations navigate complex biological questions using data-driven approaches. Our services support early-stage research by providing tools and insights to explore biological sequence and structure data, generate design hypotheses, and prioritise candidates for experimental validation. Rather than promising breakthroughs, we focus on improving the research process by speeding up iterations, uncovering hidden patterns in data, and offering guidance on the application of AI tools in life sciences.

Clients benefit from having a dedicated partner who understands both the technical and scientific dimensions of biomolecular research. Whether it’s designing peptide libraries, predicting protein properties, or interpreting experimental results, we give clear and actionable insights that support informed decision-making. Our educational and advisory offerings further ensure that clients can build internal expertise, improving long-term project sustainability. In all engagements, we remain pragmatic and transparent about what AI can and cannot do, helping clients set realistic expectations and make informed choices.