Platform comparison

Why engineering teams pick Vevesh

We built the comparison we wished existed when evaluating AI tools for IEC standards, foundation reports, and ten-year project archives. Vertical cards. Honest cons. No asterisk footnotes hiding the fine print.

Comparison

Side-by-side with the names you already know

Honest pros and cons — because engineering buyers can smell marketing fluff from orbit.

Consumer AI

ChatGPT

General AI · ephemeral file upload

Engineering fit score 58/100

Pros

  • + Instant to try — no setup
  • + Broad general knowledge
  • + Fast for one-off questions
  • + Large model selection

Cons

  • − No persistent folder index
  • − Upload limits & session-bound files
  • − Weak page-level citations
  • − Not built for engineering RAG
  • − Data leaves your boundary by default

Enterprise suite

Microsoft Copilot

M365-embedded assistant

Engineering fit score 64/100

Pros

  • + Deep Microsoft 365 integration
  • + Enterprise SSO & admin controls
  • + Familiar for Office-heavy teams
  • + SharePoint connectivity

Cons

  • − Locked to Microsoft ecosystem
  • − Limited CAD / engineering tool paths
  • − Opaque retrieval across complex folders
  • − Per-seat cost at scale
  • − Not folder-native for mixed repos

Knowledge wiki

Notion AI

Wiki-first Q&A inside Notion

Engineering fit score 61/100

Pros

  • + Clean wiki UX
  • + Team pages in one place
  • + Simple Q&A over Notion content
  • + Good for product/docs teams

Cons

  • − Must migrate content into Notion
  • − No native PDF/CAD pipeline
  • − Engineering folders stay outside
  • − No hybrid vector + BM25 stack
  • − Citation depth varies by page type

Enterprise search

Glean

Enterprise workplace search

Engineering fit score 72/100

Pros

  • + Strong SaaS connector catalog
  • + Enterprise sales & support
  • + Cross-app search unified UI
  • + Mature admin tooling

Cons

  • − Six-figure contracts typical
  • − Long procurement cycles
  • − Not optimized for local project folders
  • − Engineering extraction is generic
  • − Overkill for technical SMB teams

Engineering AI

Vevesh

Folder-native engineering RAG

Best fit
Engineering fit score 93/100

Pros

  • + Indexes folders you already use
  • + 4 extraction engines · local or server
  • + Page-level citations on every answer
  • + Team KBs with ghost / open modes
  • + Hybrid vector + BM25 retrieval
  • + Self-host path + isolated data planes
  • + Desktop-native for heavy engineering repos

Cons

  • − Private preview — not self-serve yet
  • − Requires design-partner onboarding
  • − Best for teams with real technical folders
Capability ChatGPT Copilot Notion AI Glean Vevesh
Folder-native indexing ✗ ~ ✗ ~ ✓
Persistent project index ✗ ✓ ✓ ✓ ✓
Page-level citations ✗ ~ ~ ✓ ✓
Engineering extraction tiers ✗ ✗ ✗ ✗ ✓
Local-first option ✗ ✗ ✗ ✗ ✓
Self-hosted deployment ✗ ✗ ✗ ✗ ✓
Team KB billing built-in ✗ ~ ~ ✓ ✓
CAD / mixed repo friendly ✗ ~ ✗ ~ ✓

✓ Full · ~ Partial · ✗ Missing or weak for professional folder workflows.

Who should choose what?

ChatGPT — casual, generic questions where you do not need field-specific depth or a citation trail.

Claude.ai / Anthropic — broad reasoning chat; Vevesh uses the same class of models but grounds them on your indexed corpus for expert-level, cited answers.

Cursor AI — in-repo code editing; Vevesh covers standards PDFs, foundation reports, and team KBs Cursor does not index.

Copilot — Microsoft-only shops with knowledge already in SharePoint/Teams.

Perplexity — web-grounded answers; Vevesh grounds on your project folders with page-level evidence.

Notion AI — teams willing to migrate wiki content into Notion permanently.

Glean — enterprise with budget and time for a full workplace search rollout.

Vevesh — teams who need answers as deep as a domain expert: folder-native indexes, standards libraries, multi-provider routing, and citations that survive professional review. Replaces generic chat for serious knowledge work.

Ready to put your project knowledge to work?

Connect the project tree you already file. Ask the next design-review question with the clause attached.

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Index the folders you already use. Answers with page-level evidence — built for professional review.

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