CycloGen AI was founded by Linu Lawrence, an HPC architect and biomedical computing specialist with deep expertise in GPU-accelerated infrastructure, AI pipelines, and large-scale computational biology platforms.
Through years of supporting biomedical research environments, a consistent gap emerged — drug discovery workflows remained fragmented, slow, and heavily dependent on specialized expertise.
"AI existed — but it was not unified into a single intelligent platform."
CycloGen AI was built to address this — a unified, no-code molecular intelligence platform integrating structure prediction, pocket detection, binder engineering, ligand generation, immuno-design, and AI-driven reasoning into a single system.
Today, CycloGen AI enables biotech, CRO, and pharmaceutical teams to accelerate discovery, reduce R&D costs, and design high-quality therapeutics entirely in silico.
To accelerate molecular discovery by building the most intelligent and scalable no-code AI platform for drug discovery and protein engineering.
A future where therapeutic molecule design is fast, precise, and accessible through integrated AI-driven molecular engineering systems.
Founder
HPC Architect • Biomedical Computing Engineer • AI/ML Systems Builder
With 15 years of technology experience spanning roles at GE Digital, Sage Software, and the University of British Columbia, Linu brings deep expertise in distributed systems, GPU infrastructure, and computational biology platforms powering next-generation drug discovery.
Strategic Advisor
Cloud Infrastructure • SRE • DevOps • Biotech AI
Based in Northumberland, UK, Ross brings deep experience in cloud-native infrastructure, SaaS scalability, and production reliability across AI-driven biomedical platforms, with roles spanning Causaly, Matillion, and Sage Business Cloud.
CycloGen AI operates as a distributed global team, designed to support continuous innovation and enterprise-grade availability across regions.
With headquarters in British Columbia, Canada, our team brings together expertise across AI/ML engineering, cloud infrastructure, SaaS platform development, and computational biology.
Our organization includes AI/ML developers, platform and SaaS engineering leadership, global operations, and scientific specialists supporting domain-specific roles including CSO-level research and therapeutic design.
This distributed model enables CycloGen AI to deliver reliable, secure, and responsive support to clients worldwide while maintaining the flexibility required for rapid innovation in drug discovery.