AI that understands the study—and knows when humans must decide.
Cortex is the intelligence layer for protocol interpretation, study-design proposals, document understanding, operational watch and conversational assistance. AI output remains reviewable until an authorized user approves it for controlled use.
The intelligence engine behind GarudaSphere.
Cortex connects four core capabilities while the Study Intelligence Core governs what becomes executable.
Understand the protocol. Propose the study.
Blueprint identifies the clinical and operational structure of a study and can propose study-specific configurations—including eCRFs, edit checks, milestones, document requirements, participant schedules and randomization logic.
Proposal is not execution.
GarudaSphere keeps a deliberate control boundary between AI-generated design and executable clinical-system configuration.
Interpret & Propose
AI can read protocol content, infer structure and propose study-specific designs.
Draft / ReviewableValidate & Compile
Approved study intelligence is validated and transformed by GarudaSphere compilers into executable module configuration.
Versioned / AuditableMonitoring Visit Report
Site: 04
Findings: 6
Critical: 1
Follow-up actions: 4
Overdue: 2
Turn documents into contextual study intelligence.
Insight interprets uploaded trial documents, extracts structured metadata and connects relevant information to the study entities and workflows that depend on it.
Watch the trial for exceptions and risk.
Sentinel surfaces overdue work, document gaps, data-quality issues, protocol deviations, site-performance signals and supply exceptions so teams can focus where attention is needed.
Ask your trial.
Garuda lets users ask contextual questions, summarize documents, explore study status and request draft study-design proposals without bypassing controlled approval workflows.
Eligibility, date-sequence, required-field and cross-form checks are mapped to the approved protocol facts. Review is required before compilation.
Useful autonomy without uncontrolled execution.
GarudaSphere can use AI deeply across study design and operations while preserving clear decision gates for regulated and consequential actions.