AI-Native Infrastructure for Hospital Trial Execution
Explainable automation that runs inside hospital environments to execute clinical trials, produce regulator-aligned eligibility decisions, and reduce operational bottlenecks.
The Hidden Drag on Discovery
Manual Workflows
Eligibility screening, re-screening after amendments, and compliance tracking are still manual and repetitive.
Coordinator Bottlenecks
Coordinator bandwidth caps how many trials departments can run, leaving many IITs unlaunched despite available funding.
Sponsor Delays
Inconsistent execution across sites slows enrollment and forces feasibility to be rebuilt for every study.
Opaque Outputs
Trials produce fragmented outputs that are difficult to audit, compare, or reuse across studies.
Damaros Strengthens Trial Execution
Damaros runs inside hospital environments to convert trial protocols into executable eligibility logic, continuously screen and re-screen patients, and produce auditable, criterion-level execution records for coordinators and review.The Dual Engine Damaros Platform
LUNA
Protocols, amendments, and eligibility decisions are captured as structured, versioned records, ensuring every outcome is explainable, reviewable, and suitable for regulatory and IRB review.
NECTOR
NECTOR captures structured, protocol-versioned execution signals as a byproduct of trial execution. Each trial run produces standardized, hospital-owned signals that persist across protocol versions. Over time, these signals compound into reusable feasibility and execution intelligence.
The Spine Across Silos
Hospitals
Hospitals run more investigator-initiated trials with the same coordinators, breaking throughput ceilings without adding staff.
Industry
Sponsors and CROs gain speed and consistency across hospitals, reducing enrollment delays and producing cleaner, regulator-ready execution data.
Regulators
Regulators and IRBs gain clear, auditable workflows with compliance embedded by default, reducing review friction.

