Prepare a dataset
Check an approved source for missing readings, repeated records, inconsistent units and timing problems before using it in an analysis.
Research workspace
Data, models and studies. One research workspace.
We are building Diabeteris Foundry to connect the evidence library, Metra model research and controlled data pipelines. Studio brings those tools into one workspace for scientific teams.
Less time sorting files. More time investigating diabetes.
A study can involve glucose records, laboratory reports, papers and several analysis tools. Foundry is designed to keep those materials connected. Studio gives researchers a place to see what is ready, what needs attention and how a finding was reached.
See what a researcher would see.
Inspect a short glucose record, find a gap and check the original rows. This interactive Studio concept shows the kind of review we are building into Foundry.
Example project / Data review
sample-glucose.csv · v1A closer look at the record.
- Source rows
- 12in this example
- Plotted readings
- 10after exclusions
- Review flags
- 2one gap, one repeated row
Glucose record excerptmg/dL · example day
Observed sample values Missing sample, not interpolated
Synthetic demonstration, not patient data or model results.Preview actions stay in this page.
A concept for a product in development. The displayed counts describe these 12 invented rows; they do not measure clinical performance or the size of our data library.
Authorize
Start with the permitted use.
Check source rights, study purpose and access before importing data. A public download is not permission for every use.
- Planned artifact
- Source and permission record
- Example stop condition
- Access denied → stop before import
Review reports and papers
Lens is our planned document tool. It will help extract information while keeping the original passage available for a person to check.
Compare an analysis
Bench is our planned evaluation tool. Researchers will compare a candidate method with a simpler reference method using the same test data.
Share work someone can repeat
Keep the source version, analysis settings, results and review notes together. Planned APIs would let authorized partners use selected functions in their own systems.
Designed for the people doing the work.
The Metra research program
Models built around diabetes questions.
Metra is our planned family of computational models for diabetes research. Metra-1 establishes statistical and machine-learning comparisons. Metra-2 explores temporal neural networks and deep learning when the data and benchmarks justify the added complexity.
Alongside Metra, Lens connects OCR, natural language processing and evidence retrieval. Later LLM-assisted workflows would help researchers read and compare authorized sources, with citations and human review.
These are development programs. We have not released a validated clinical model, and the research workflow does not determine insulin doses.
Explore model researchCompute & security roadmap
Serious computing. Defined boundaries.
We plan to scale from controlled local research to high-memory systems, GPU-accelerated training and distributed experiments as the data, funding and evaluation justify them.
Planned controlled research environment
- AccessIdentity · study purpose · permitted use
- DataEncrypted stores · versioning · traceable transformations
- ComputeCPU preparation · GPU training · isolated model evaluation
- ReleaseReviewer approval · scoped APIs · audit records
Infrastructure as code · Separate research and production environments · Tested recovery
High-performance computing with a purpose.
Our planned workloads span machine learning, deep neural networks, computational models and later large language models. We will select hardware against memory needs, reproducibility, training time and cost, with capacity and benchmarks documented as infrastructure is commissioned.
AWS GovCloud (US), where appropriate.
AWS GovCloud (US) is a deployment option we intend to evaluate for eligible workloads. Account eligibility and regional service availability must be confirmed. This is an infrastructure plan, not a claim of an existing GovCloud deployment or certification.
Our planned controls include least-privilege access, encryption in transit and at rest, isolated workloads, audit trails, restriction propagation and tested backups. Cloud hosting does not replace application security or governance.
What every tool needs to make clear.
Show the original source
Flag missing or uncertain information
Keep review notes with the result
Make the analysis repeatable
Foundry and Studio are in development. The preview is a working interface concept with synthetic data, not a released research service or a clinical product.
See how Foundry fits togetherEngineers and scientists, working on the same questions.
We are building a company where the people preparing data, developing tools and investigating diabetes can work closely together, with clinicians and communities helping define what matters.
Engineering
Build the data checks, analysis tools and interfaces that let researchers inspect their work.
Biomedical research
Define useful questions about glucose, islet biology and barriers to lasting treatments.
Clinical collaboration
Work toward studies with qualified care teams and laboratories, with clear responsibilities for reviewing findings.