Saterra is building the agentic platform for spatial analysis, powered by our foundation model, KRONOS. It streamlines and standardizes work that once took weeks to months, bringing it down to hours to days.
Building something specific? Tell us about your program →
The signals that decide a drug's fate are written in tissue, cell by cell, neighborhood by neighborhood. Reading them today is slow, bespoke, and impossible to reproduce at scale. The signal is there. The infrastructure to read it consistently is not.
Every lab builds its own chain of hand-tuned, panel-specific scripts. The work rarely survives the person who wrote it.
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.
KRONOS, our foundation model for multiplexed tissue, is the core. Around it we build the analysis framework and agentic platform that streamline and standardize spatial analysis, taking work that once took weeks to months down to hours to days.
One of the largest expert-annotated spatial corpora in existence. Proprietary tissue data that can't be scraped, synthesized, or easily reproduced. It doesn't live on the web. It lives in labs and clinics, and it is the scarce input everything else compounds from.
KRONOS, our foundation model, is pretrained across the domain and transferable to new panels, tissues, and tasks with minimal labels. It replaces the chains of bespoke, hand-tuned pipelines teams rebuild for every study, streamlining analysis into a single repeatable step.
Around KRONOS, an agentic platform runs the analysis end to end, so the same tissue gives the same answer every time, and work that once took weeks to months takes hours to days. Every run generates new proprietary data, and the model keeps getting better.
We work with biopharma teams, platform companies, academic groups, and the organizations building the future of AI for science. Pick the engagement that fits your program.
A scoped evaluation on your own tissue and targets. Run the model against a defined question, on your data, and validate the results before you commit.
Start the conversation →Ongoing access to the model and workflows for your team, across programs, with support to fit spatial analysis into how you already work.
Start the conversation →A deeper, milestone-based collaboration where we build spatial capabilities around your pipeline and share in what they produce.
Start the conversation →AI has learned to read language, images, and code. Biology's highest-value data, the spatial architecture of human tissue, remains almost entirely unread. Saterra is building the model and the data engine that change that, so the next generation of AI for science can see what happens inside the body, and act on it.
We believe the right model, trained on the right data, can reshape how tissue informs nearly every stage of drug development, from target discovery and translational research to biomarker strategy and companion diagnostics.
If you want spatial analysis that is consistent, reproducible, and ready to act on, not another one-off pipeline, we'd like to hear from you. Tell us what you're working on, and we'll take it from there.
