THE SOFTWARE BEHIND THE SCIENCE
Graham Scientific combines custom analysis pipelines with SourceTracer, our privately operated evidence and scientific-workflow platform. The tools support the engagement; you work directly with the scientific team. Our private, governed AI operations platform coordinates defined tasks, evidence records, and review gates across the work.
PUBLIC OUTPUTS
Explore what the platform helps us produce: illustrated reviews, scientific figures, referenced articles, and downloadable publication packages.
See SourceTracer publication examplesCustom computational analysis connects complex research data to statistical interpretation and publication outputs. SourceTracer includes figure generation, figure audits, and FigureSmith review workflows.
Analysis package · Figures · Methods & results
Explore the serviceFull scientific writing services supported by claim extraction, citation normalization, reference audits, manuscript review reports, and section-drafting workflows.
Manuscripts · Reviewer responses · Reference reports
Explore the serviceSourceTracer exposes protocol locking, search receipts, deduplication, full-text records, independent screening, conflict adjudication, extraction, risk-of-bias records, and flow reporting.
Review protocol · Screening ledger · PRISMA reporting
Explore the serviceWorkflows connect scientific evidence with federal regulations, Federal Register material, enforcement sources, and reimbursement authorities. Evidence packets support source-linked assessments.
Pathway assessment · Evidence matrix · Requirements memo
Explore the serviceFunded-science experience is paired with grant-authority research and evidence workflows to develop the scientific argument, analytical approach, and application documentation.
Specific aims · Research strategy · Analytical plan
Explore the serviceSourceTracer includes reference checks, claim fact-checking, footnote review, approved-text comparison, and review-report workflows, alongside tools for manuscripts, abstracts, posters, slides, and summaries.
Content review · Reference QA · Scientific communications
Explore the serviceTRACEABILITY IS A DELIVERABLE
Traceability is specified as part of the project: which inputs, methods, source records, review decisions, and final outputs your team receives.
Agreed analysis packages connect the input dataset, code and methods, model output, and reported figure or table.
SourceTracer evidence packets and reference audits connect supporting material to the statements being reviewed.
Review workflows preserve search receipts, screening decisions, extraction records, and reporting outputs.
CUSTOM AI DEVELOPMENT
We can design a repeatable pipeline around your data, document types, scientific questions, and review requirements. The scope defines integrations, testing, human review, access, and handoff.
Ownership of the platform lets us develop task-specific workflows and connect capabilities across disciplines. Each engagement selects and verifies the tools it needs.
Custom AI pipelinesLET’S FIND A WAY FORWARD
Tell us what you are trying to understand, what you have, and what is getting in the way.