Sunethix - IRB Submission Review
An AI review system for human-subjects research submissions, checking regulatory rules and cross-document consistency while producing citation-backed findings for human review. Tijani participated in the product's development and deployment.
Sunethix analyzes research-submission documents such as protocols, consent forms, HIPAA materials, and recruitment content. Its public product description highlights a multi-stage parse, analyze, and compose pipeline, versioned regulatory rules, cross-document checks, and findings tied to document locations and citations. Tijani participated in developing and deploying the product, with engineering contributions in Document Parsing, Regulatory Rules, Cross-Document Analysis, Citation-Backed Findings, Audit Trail.
The problem
IRB submissions contain related information across multiple documents. Inconsistencies in study details, sample handling, consent language, or regulatory elements can be difficult to detect through manual review alone.
Tijani's development and deployment role
Tijani participated in developing and deploying the AI document-review system, contributing to the product's document-analysis and review workflows that connect automated checks with evidence and human oversight.
- Parse submitted research documents and extract relevant information.
- Evaluate the extracted content against configured regulatory rules and cross-document relationships.
- Compose PASS, WARN, or FAIL findings with cited document evidence.
- Keep final ethical and approval decisions with the review board.
Product workflow and implementation
Sunethix analyzes research-submission documents such as protocols, consent forms, HIPAA materials, and recruitment content. Its public product description highlights a multi-stage parse, analyze, and compose pipeline, versioned regulatory rules, cross-document checks, and findings tied to document locations and citations. The implementation and deployment scope described for this engagement covers the product workflows and engineering areas listed below.
- Document Parsing
- Regulatory Rules
- Cross-Document Analysis
- Citation-Backed Findings
- Audit Trail
- Human Review
Engineering scope
Tijani's participation connected the product requirements to working application functionality and deployment. The supplied project inventory identifies Document Parsing, Regulatory Rules, Cross-Document Analysis, Citation-Backed Findings, Audit Trail, Human Review as the relevant implementation areas. Where a specific framework, database, or performance metric was not supplied, this case study does not invent one.
Technologies & implementation areas
- Document Parsing
- Regulatory Rules
- Cross-Document Analysis
- Citation-Backed Findings
- Audit Trail
- Human Review
Role & ownership
Tijani participated in developing and deploying the AI document-review system, contributing to the product's document-analysis and review workflows that connect automated checks with evidence and human oversight. This description reflects Tijani's participation in the product's development and deployment; it does not imply that he was the sole developer, designer, or owner of the wider product.