Candidate consent
Education checks can affect employment and require clear consent.
Extract and review education document signals with candidate consent, OCR evidence, consistency checks, and manual-review pathways where institution follow-up is needed.
Education checks can affect employment and require clear consent.
Surfaces document signals without claiming direct university confirmation by default.
Institution follow-up can be recommended where evidence is insufficient.
Choose Degree Certificate, state the reason for verification, and invite the subject or enter fixture data in sandbox.
The data principal sees the requester, purpose, and check type before any live verification starts.
PRAMAAN evaluates document signals and match evidence while keeping sensitive values minimized.
Teams receive a masked, timestamped result with consent reference, signals, and review guidance.
Education documents need careful wording because they may affect employment decisions.
Extracts institution, degree, roll/enrollment number, dates, and visible certificate fields.
Compares institution naming and formatting for consistency.
Surfaces degree title, field of study, and visible credential signals.
Captures the identifier when present for reviewer follow-up.
Compares year and date signals with the submitted profile context.
Flags unreadable, edited, inconsistent, or low-confidence document signals.
A degree certificate can influence hiring outcomes, so reports need clear signals, gaps, and manual-review context.
Employment decisions need care
Older records may need follow-up
Document quality affects confidence
Review submitted credentials before joining.
Standardize education evidence for client submissions.
Check visible certificate details for large candidate batches.
Attach credential signals to deployment files.
Support reviewer decisions for role-specific qualifications.
PRAMAAN should frame education output as document signals and reviewer support unless direct institution verification is explicitly configured.
Every preview uses dummy sandbox data, a consent reference, a timestamp, document-specific signals, and bounded report language.
Sample sandbox report — no real PII
Sample sandbox report — no real PII. This preview shows document signals, not direct university confirmation.
Visual inconsistencies, low OCR confidence, or edited files should go to manual review.
Legacy names, abbreviations, and affiliated colleges need reviewer context.
Some cases require institution follow-up outside automated document extraction.
Use a structured report to decide whether the certificate is sufficient or needs manual follow-up.
Single live verification
₹99
Add degree document signals into hiring workflows, staffing portals, and reviewer queues through hosted pages or APIs.
Tenant, vendor, employee — anyone receiving payment in India.
Household help, driver, tutor — the default identity rail in India.
High-trust hires — drivers, nannies, security staff, anyone with home-access.
Most senior hires, mid-management vendors, NRIs returning.
Drivers, delivery workers, fleet operators — DL is the implicit job-credential.
Large B2B contracts, marketplace KYB, investor diligence on prospective partners.
No. Live checks require explicit consent from the data principal before processing begins.
Yes. The sandbox demo uses fixture data only and does not require real PII.
PRAMAAN surfaces the mismatch as a verification signal and recommends manual review where the evidence is incomplete, stale, or inconsistent.
No. Reports provide verification signals and consent evidence for reviewer decision support. They should not be treated as a guaranteed legal outcome.
No. Unless direct verification is configured, PRAMAAN should present OCR and consistency signals with manual-review guidance.
Older or low-quality certificates may require manual review or institution follow-up.
Use sandbox fixture data first, then run a live ₹99 verification when the requester, purpose, and consent path are ready.