SARAP
Sharq University
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Sharq University · Research Infrastructure

Multilingual AI infrastructure for accelerating and standardising academic research

SARAP is an institutional research-management platform for university faculty, doctoral candidates and research administrators. It supports the full research cycle — literature discovery, evidence structuring, gap analysis, review drafting and methodological design — across Uzbek, Russian and English sources, with mandatory researcher verification of every AI-generated output.

Platform at a glance
Working languages
Uzbek · Russian · English
3
Functional modules
Discovery to AI review
8
Month roadmap
Pilot to institutional rollout
22
Value pillars

Designed for institutional research practice, not general-purpose chat

Each module produces an auditable artefact — a source list, an evidence matrix, a gap report, a referenced draft — that a supervisor or review committee can inspect.

Trilingual Research

Discovery, screening and synthesis across Uzbek, Russian and English sources, with language coverage reported for every review so gaps in the corpus remain visible.

Standards Compliance

Structured evidence matrices, PRISMA-aligned workflows and citation output in APA 7, Chicago, GOST and the HAC/OAK institutional format required for national defence procedures.

Institutional Integration

Role-based access for researchers, doctoral candidates and administrators, with faculty-level oversight of progress, verification status and academic integrity alerts.