AI tools for research · InsightAI Health Studio

Research with a record.

Explore your nonconfidential research tables, inspect methods and preserve the evidence behind each result.

DataCore is available in an authenticated research pilot for synthetic or nonconfidential user-owned tables. No personal, patient-identifying or confidential data. Research outputs are not clinical validation.

Illustrative researchers reviewing tables and statistical plots together in a bright research office
Illustrative AI-generated research scene.

What DataCore can do

Govern tabular data

Import CSV/XLSX/TSV/TXT/Parquet or flat JSON/JSONL tables, inspect quality and preserve immutable versions, recipes and lineage.

Inspect actual computation

Guided exploratory summaries, nine statistical tests, independent OLS/binomial/Poisson regression, classification/regression pipelines, PCA, clustering and anomaly exploration use actual CPU computation.

Review and export evidence

Grouped evaluation, baseline comparison, private artifacts, team roles and reviewed project-private research predictions.

The current server is qualified for bounded small research tables, one scientific job at a time. General large-data and institutional release gates remain open.

Read the DataCore guide →

One platform, five phases

PhasePurposeCurrent status
1 · DataCoreTabular research and shared coreImplemented; bounded nonconfidential research pilot
2 · TextSenseText researchSpecification only; not installed
3 · VisionSenseImage researchSpecification only; not installed
4 · AudioSenseAudio researchSpecification only; not installed
5 · AdaptFlowWorkflows and institutional integrationSpecification only; not installed

Later modules will reuse the same project permissions, versioned data and evidence contracts. No future-phase feature or API is enabled in this release.