AiRA · Aspira intelligent research assistant

AI aimed at the specific hours Phase 1 operations lose.

AiRA is proprietary technology we are building in-house. It is not a diagnostic, it does not make clinical decisions, and it does not replace investigator judgment. It removes operational drag.

Status: in developmentHuman-in-the-loop by design

What AiRA does

Four modules, each tied to a measurable operational bottleneck.

We build only where we can point to the hours saved and the reviewer who signed off. Capabilities are labeled honestly by maturity.

Piloting

Module 01

Cohort intelligence

Structured and unstructured referral information organized against protocol criteria, so coordinators spend their time on likely-eligible candidates rather than chart triage.

In development

Module 02

Phase 1 scheduling engine

Dosing windows, PK draw sequences, staff availability and unit capacity solved together — the constraint problem that quietly sets Phase 1 timelines.

In development

Module 03

Data quality assistance

Pattern checks across source documentation surface likely queries before monitoring visits. Every flag is reviewed by a human before any action.

Design

Module 04

Operational assurance

Audit-traceable logs of every model-assisted suggestion, who reviewed it and what decision followed.

Target outcomes

What we are engineering toward — stated as targets, not claims.

These are internal design goals for AiRA-assisted Phase 1 workflows, measured against our own historical baselines. We publish results when studies close, not before.

Pre-screening hours per enrolled participant

38%

Industry 100%

Scheduling conflicts per dosing cohort

45%

Industry 100%

Queries open at monitoring visit

52%

Industry 100%

Indexed to Aspira's pre-AiRA internal baseline at 100%. Targets under active validation; not sponsor-facing performance guarantees.

Guardrails

What AiRA will never be.

Not a diagnostic or clinical decision system.
Not a substitute for investigator or coordinator judgment.
No participant data leaves controlled, permissioned environments.
No model-assisted output is actioned without human review.
Abstract visualization of a neural network interlaced with clinical trial timelines

AiRA in development

Built to compress operational lag — not to replace clinical judgment.

AiRA is an internal operations layer under active development. Every output remains subject to investigator and coordinator review, and no clinical decision is automated.

Next step

Want to pilot a protocol with AiRA-assisted operations?

We are selecting a limited number of Phase 1 studies for early AiRA-supported delivery in Ponce.