Knowledge Repository
Your institutional knowledge, made AI-readable — once. PDFs, DOCX, PPTs, wikis, URLs, videos, SOPs, architecture and product docs.
The platform
Not an assessment tool, an LMS, or an ATS. The knowledge layer all of those run on.
Everything you need to run on already exists — in your SOPs, your policies, your wikis. Upload it once, and the same engine turns it into hiring tests, exams, training, and compliance. Build the knowledge once. Spend it everywhere.
The flywheel
One document in. Four things you needed, out.
The same knowledge core powers every module — so a hiring question, an exam, a course, and a compliance certificate all draw from one source of truth.
YOU UPLOAD SOPs · docs · policies · wikis · videos
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PARAAKH UNDERSTANDS One AI knowledge core
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How it's built
Four layers, one engine.
AI Understanding Engine
It reads your content the way an expert would — extracting concepts, relationships, and context — and builds a map of what your organization actually knows.
Intelligence Layer
The same understanding becomes interview questions, exams, courses, certifications, and answers — generated, not hand-built.
Knowledge Freshness Engine
Your process changed in March. Your training shouldn't still teach January. When the source changes, Paraakh regenerates what depends on it.
What the platform delivers
Six capabilities. One knowledge core.
Every capability draws from the same upload-once knowledge base — so the questions, the interview, the proctoring, and the proof are all the same source of truth.
AI
AI Question Generation
Six question types from your JD or document in seconds. Quality-scored, type-validated, reviewed by you.
See it → 🎙AI Voice Interview
Adaptive interview that asks, listens, follows up, and scores against your rubric. Full transcript, evaluator override.
See it → 〈〉Coding Assessments
Monaco editor, 10 languages, hidden tests, per-test limits, real-time execution feedback.
See it → 👁Live Proctoring
10 integrity layers in parallel — webcam, face, voice, devtools, tab-switch, screen. Live dashboard for human-in-the-loop oversight.
See it → ◆Knowledge-grounded AI tutor
Anyone asks; the answer cites your own SOPs and docs. Not a generic model guess.
See it → 🔐Multi-tenant white-label
Brand-isolated workspaces with granular permissions. Per-client, per-region, per-business-unit. Token-wallet AI billing.
See it → Knowledge Freshness Engine
Update the source. Everything downstream catches up.
Your SOP changed on Tuesday. By Tuesday afternoon every exam, training path, and certificate that depended on it has regenerated — and the people who took the old version are queued for a recert.
- Versioned · Every regeneration ties back to the source revision that triggered it.
- Diff-aware · Only the questions and modules touched by the change get re-authored.
- Audit-logged · Every regeneration event lives in the append-only ledger.
Source updated SOP-Deployment-v4.pdf → v5
Knowledge graph 3 entities reindexed · 7 relationships updated
Regenerated 2 exams · 12 questions · 1 training path
Notified 34 learners scheduled for recert by Mar 12
1 source change → 5 outputs synced → 34 people queued
ASK YOUR OWN KNOWLEDGE
An AI tutor grounded in your documents.
Anyone can ask a question and get an answer drawn from your organization's actual knowledge — not the open internet. The same repository that generates your training answers your team's questions.
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Grounded, not generic
Answers cite your SOPs and docs, not a generic model's guess.
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One core, every decision
~70% shared engine means one set of records and one scale across hiring, exams, development, and compliance.
How do we handle a failed deployment rollback?
Per your Deployment SOP v4: trigger the automated rollback job, notify the on-call lead, and file an incident within 30 minutes…
SOURCE · Deployment-SOP.pdf · §6.2
The platform
See your own documents become a working assessment.
Bring a document or two to the call. We'll upload them live and show you the questions, the course, and the certificate they produce. Eight minutes, real product.