An AI system that continuously gathers the faculty, student, and infrastructure data accreditation cycles need — so the report is ready before the deadline, not built in the two weeks before it.
Every accreditation cycle — NAAC, NBA, AICTE, or an internal quality audit — follows the same painful pattern: weeks spent chasing departments for faculty publication lists, student outcome data, infrastructure records, and attendance figures, most of which already exist somewhere in the college’s own systems, just not in one place, and not in the format the accreditation body wants.
Blore.AI is building AccredIQ to end that scramble: a system that continuously pulls the data accreditation cycles need from the systems that already generate it, and keeps it organized and ready to submit, year-round — not assembled under deadline pressure.
AccredIQ will connect to a college’s existing systems — LMS, HR, student records, library, research repositories — and continuously pull the data that accreditation frameworks actually ask for: faculty qualifications and publications, student outcomes and progression, infrastructure and facility records, and more. That data is organized against NAAC/NBA/AICTE criteria as it’s collected, so a compliance report is a matter of reviewing and exporting, not building from zero.
In one sentence: The data your next accreditation report needs is already being collected the day after your last one was submitted — not assembled under deadline pressure two years later.
The system is designed to run as a continuous, four-stage cycle:
AccredIQ links to the systems your college already runs: LMS, HR, student information system, research and library records
Relevant data is pulled continuously and mapped against the criteria of the accreditation framework you’re preparing for
Gaps and missing evidence are surfaced as they appear, not discovered days before a submission deadline
Draft reports are generated in the accreditation body’s own format, ready for review and sign-off
Designed around how accreditation prep actually happens across a real institution.
An accreditation cycle rewards an institution for what it can prove, not just what it did. Data collected continuously, the moment it’s generated, produces a stronger, more defensible submission than the same data reconstructed from memory and scattered files two years later.
This one is still in development. Tell us about your institution and we will keep you posted as AccredIQ comes together — early partners get a say in what we build.
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