Retinal disease therapeutics with AI-enabled drug discovery platform
Kodiak Sciences is a public biotech focused on retinal vascular and inflammatory diseases, with a pipeline anchored on tarcocimab and KSI-501—biopolymer conjugates designed to extend durability and target multiple disease pathways beyond standard anti-VEGF approaches. The tech stack reveals a parallel infrastructure: clinical-grade pharma tools (Medidata, Veeva, CDISC) sit alongside a sophisticated imaging and AI stack (PyTorch, TensorFlow, JAX, real-time optical subsystems, signal processing on FPGAs)—a pattern that signals active development of a proprietary imaging platform (Veti AI Foundation) to accelerate preclinical validation and mechanistic understanding.
Kodiak develops next-generation therapeutics for high-prevalence retinal diseases using its ABC Platform™, which combines antibody and chemistry-based approaches through molecular engineering. The company is advancing three lead candidates: tarcocimab (anti-VEGF), KSI-501 (bispecific anti-IL-6/VEGF), and KSI-101 (anti-IL-6 protein), each targeting vascular or inflammatory retinal pathology. Operations span preclinical discovery (animal models, pharmacokinetic modeling, optical imaging systems) through clinical development (Oracle Clinical, Medidata Rave). Hiring is concentrated in engineering and senior-level roles, reflecting acceleration of platform and device development work.
Kodiak develops retinal therapeutics using its ABC Platform™ to merge antibody and chemistry-based therapies. Lead programs include tarcocimab (anti-VEGF), KSI-501 (bispecific anti-IL-6/VEGF), and KSI-101 (anti-IL-6 protein) for retinal vascular and inflammatory diseases.
Kodiak uses LC-MS and HPLC for analytical chemistry, PyTorch/TensorFlow/JAX for AI, Medidata/Veeva for clinical data, and advanced imaging hardware (Zemax, Cadence, FPGAs, LiDAR, MEMS) for real-time optical systems and device control.
Kodiak Sciences's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.