Here we come, San Diego!

Protein engineering is constrained by uncertainty, resulting in long development cycles, costly experimental iterations, and unpredictable success rates... At xyna.bio, we reduce design uncertainty, specializing in low-data environments and high-complexity protein systems where current approaches fall short.

We are building the bridge between wet lab and dry lab by automating complex bioinformatics workflows. Our AI-driven platform leverages hybrid models that combine machine learning, physics-based simulation, and domain expertise to orchestrate end-to-end in silico pipelines. It forms the foundation of our entire workflow and is embedded across sequence design, structure prediction, dynamics simulation, and candidate optimization, enabling consistent, decision-ready insights at every stage.

We deliver this through an intuitive, no-code platform that unifies these capabilities into seamless in silico workflows, complemented by custom model development and expert-designed experimental protocols, positioning us as an in silico CRO supporting early-stage R&D.

We focus on accelerating biologics discovery, particularly nanobody (VHH) engineering, through automated screening, structural modeling, and developability assessment. By shifting critical decision-making into computation and enabling closed-loop integration between experimental and computational workflows, xyna.bio reduces development time, lowers costs, and increases success rates in early-stage R&D.

We enable trusted, agentic hyperautomation through continuous quality assurance across the pipeline, complemented by robust data security and engineering aligned with the highest European standards. This is backed by decades of experience from our parent company, GIP Exyr GmbH, a developer of process automation software for leading telecommunications providers in the critical infrastructure sector.

Our mission is to make advanced computational biology accessible, scalable, and fully integrated into modern life sciences innovation.

Meet us at booth 3335.