Saterra turns spatial data into decisions, at whatever scale the question demands.
The signals that decide a drug's fate are written in tissue, cell by cell and neighborhood by neighborhood. Reading them today is slow and bespoke, and the infrastructure to do it consistently at scale doesn't yet exist.
Every lab builds its own chain of hand-tuned, panel-specific scripts, rebuilt from scratch for the next study.
The same tissue, analyzed twice, gives different answers. Results don't transfer across sites, panels, or platforms.
Analysis grows with headcount instead of with data. Cohort-scale spatial biology stays out of reach.
Three pieces that work independently or as a stack, turning spatial data into an answer a team can act on.
Proprietary models, with the specialized workflows and analytical tools built around them. Not one model tuned to one panel, but a set that transfers across panels and platforms.
The infrastructure that runs them at cohort scale, so analysis grows with the data instead of with headcount.
A web-based environment where the work actually happens, with AI agents carrying the repetitive parts and results a team can act on.
Pick the engagement that fits your program.
We work alongside your team on a defined question, using your tissue and your targets.
Start a conversation →A milestone-based program to develop spatial capabilities around your pipeline.
Talk to the team →