Peer AI vs Scoop (2026)
Peer AI and Scoop help regulatory teams draft submission content from scientific source material. Peer AI spans several document types and program coordination; Scoop concentrates on keeping an investigational new drug submission aligned as its supporting information changes. Peer AI Author prepares protocols, study reports, safety narratives and IND material using organizational templates and style guides. Writers review source linked drafts and can move DOCX outputs into established quality workflows. Command Center tracks deliverables, dependencies and capacity, while Anticipate examines likely regulatory questions. Authoring case results concern specific writing tasks and do not validate the newer coordination or prediction functions. Scoop's IND Sync classifies uploaded scientific and manufacturing documents, maps them to the submission structure and drafts linked narratives. It flags conflicting values and outdated text, then identifies affected sections when new results or manufacturing changes arrive. Users edit and comment before qualified review. Its promise that filings never lose synchronization exceeds the available controls for missed updates, while draft readiness figures lack a named evaluation. Peer AI fits organizations producing a broad range of clinical and regulatory documents with program level coordination. Scoop fits biotechnology teams, consultants and CROs maintaining an IND through changing source packages. Both produce material for expert revision and leave the decision to rely on or submit it with the customer.
- The writing portfolio includes protocols, reports and safety narratives.
- Teams need organizational templates and source linked drafts.
- Deliverables and dependencies require program level coordination.
- A customer AWS deployment is desired.
- IND preparation and maintenance are the focused requirement.
- Scientific and manufacturing sources need mapping to submission sections.
- New results should trigger review of affected narratives.
- Teams want shared editing and comments within the submission workspace.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Peer AI and Scoop are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | Peer AI | Scoop |
|---|---|---|
| Primary category | Clinical Trials AI | Clinical Trials AI |
| Founded | 2023 | Not recorded |
| Headquarters | San Francisco, California, United States | San Francisco, California, United States |
| Website | getpeer.ai | scooplabs.ai |
Side by Side
Select any grade to read the note behind it.
Each vendor in one paragraph
Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.
Peer AI provides regulatory document authoring software for pharmaceutical companies, biotechnology developers, and contract research organizations. Specialized agents prepare protocols, clinical study reports, safety narratives, IND content, and other submission materials from source files and organizational templates.
Source: AI Health Index, October 2026
Scoop provides a hosted workspace for preparing and maintaining investigational new drug submissions. Regulatory affairs teams upload scientific reports, chemistry and manufacturing packages, and supporting documents. IND Sync classifies the material, maps it to the submission structure, and drafts regulatory narratives with links back to source documents.
Source: AI Health Index, October 2026
Questions buyers ask
How do Peer AI and Scoop work with the EHR?
For Peer AI, the authoring cases use study files such as protocols, statistical plans, tables and listings, patient profiles, and safety forms, with DOCX output supporting an existing quality review workflow.
With Scoop, the core process otherwise begins with uploaded study reports, manufacturing packages, and supporting files. The direction of exchange, supported interfaces, version compatibility, and any implemented customer connection go undescribed. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 15, 2026. No vendor pays for placement.
How are Peer AI and Scoop priced and sold?
In Peer AI's case, the customer can provision or remove access, enable integrations, manage permissions, and control retention and export settings within the arrangement. Deployment can use Peer AI hosting or the customer's AWS environment, and onboarding can include medical writing expertise and adaptation to templates and style guides.
For Scoop, the buying route begins with a demonstration request, and the website distinguishes its marketing terms from the agreement governing the purchased service. No subscription amount, billing unit per user or per submission, document allowance, implementation charge, or minimum commitment is listed. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 15, 2026. No vendor pays for placement.
How do Peer AI and Scoop handle patient data?
With Peer AI, the application terms also describe customer control over retention and export settings, indicating that operational document storage and model processing need to be distinguished. Source traceability and medical writer review help detect errors in a draft.
In Scoop's case, the service policy restricts use for advertising and sale, while return or deletion of customer content follows the customer agreement and lawful instructions. Retention also considers backups, incident response, and legal preservation, without fixed windows. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 15, 2026. No vendor pays for placement.
Which settings and specialties do Peer AI and Scoop cover?
For Peer AI, an oncology narrative comparison supplies a concrete authoring application, and another case covers a six-part report combining several studies and protocol amendments.
With Scoop, the range of document types shows useful functional breadth within IND work, while performance by disease area, sponsor size, or international submission pathway is unmeasured. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified October 15, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Clinical Trials AI page.
Both companies are based in San Francisco. Neither has public subscription figures, document allowances or complete implementation fees. Peer AI offers hosted and customer AWS deployment options; Scoop provides a hosted workspace.