Identification
Certify the person, not just the paper.
Remote assessment's quiet risk is that the person submitting isn't the person enrolled. Sokros gathers identity and integrity signals across every attempt — each one with its evidence attached — and puts the decision where it belongs: with you.
“Harvard Business Review, 2031” — publication date implausible; citation quoted for review
Signals with receipts, not scores without reasons.
Every indicator names what it saw and quotes where it saw it — so your integrity panel argues about evidence, not about a percentage.
Authorship consistency
Writing that suddenly changes register mid-cohort is a signal worth a look. Style and structure are compared across a learner's own attempts — never against strangers' essays.
Submission provenance
Document metadata, template history and revision trails are read alongside the content, so a script that arrived through an unexpected route is flagged with the reason attached.
Reference credibility
A classifier checks whether cited sources are real, dated and plausible — the classic tell of outsourced or generated work, caught with the specific citation quoted.
AI-usage analysis
Indicators of generated text are reported as evidence-linked signals for your assessor's judgement — never as an automatic penalty or a single opaque percentage.
A human decides
Integrity outputs are framed as signals for a qualified decision-maker. The system never penalises a learner on its own.
Attempt-keyed history
Each attempt has its own immutable record, so comparisons run against the learner's genuine baseline — not a guess.
Private by architecture
Signals are computed inside your deployment boundary. No learner writing is sent to consumer AI services.
Know who you're certifying.
Tell us how your learners submit today and we'll show you which signals your workflow would surface — and where your assessors would see them.