Engineering-grade AI — built for real project folders

Your technical knowledge, instantly usable by AI

Vevesh indexes specs, drawings, reports, and code from the folders you already use — then gives your team a private, citation-aware assistant that understands engineering context, not just keywords.

Vevesh workspace — turbine standards review

You asked

What are the fatigue load combination requirements for an IEC Class IIA site with 50-year design life?

Vevesh answer · grounded in your indexed files

For Class IIA, your indexed IEC 61400-1 section 7.4.2 requires DLC 1.2 and 6.4 combinations with the site-specific turbulence class applied. Your foundation report (Rev C) already flags the governing combination as My at tower base under DLC 6.1...

iec61400-1.pdf · p.84 foundation-revC.docx

Features

Built for engineers who live in folders, not chat windows

Vevesh is not another generic document chatbot. It is an indexing and retrieval stack designed around how technical teams actually store knowledge.

Folder-native indexing

Point Vevesh at the directories you already work in. PDFs, Office files, drawings, and code are scanned, chunked, and kept ready — no re-upload circus.

Deep document extraction

Express for speed, Structure for layout fidelity, Flow for scanned and complex reports. You choose the extraction engine per knowledge base.

Shared knowledge bases

Promote a folder into a hosted, billed corpus your whole team can query from chat — with ghost or open citation modes.

Private by design

Your source folders stay yours. Processing metadata lives on infrastructure you control — not scattered across random SaaS uploads.

Engineering RAG

Built for technical Q&A: multi-hop retrieval, standards-aware routing, and answers that respect the structure of real project data.

Desktop + web

Native desktop app for heavy folders and offline-friendly workflows. Web access when you need a lighter entry point.

How it works

From messy folders to trustworthy answers in three moves

The workflow mirrors how you already organize work — Vevesh adds the AI layer without forcing a new filing system.

  1. 01

    Pick a folder

    Choose any project directory — specs, reports, CAD exports, code. No forced “import everything to our cloud” step.

  2. 02

    Index locally

    Vevesh scans, hashes, and extracts content with the engine you select. Your folder stays the source of truth.

  3. 03

    Ask in context

    Chat with full project awareness — citations, cross-document reasoning, and optional shared knowledge bases for the team.

Platform

Serious infra behind a calm interface

Vevesh runs on a hybrid stack: local indexing on your machine, managed retrieval and billing where it helps, and edge workers for scale-sensitive paths. The marketing site you are reading now lives on its own Cloudflare account — separate from customer data planes.

  • Vector + keyword hybrid search
  • Team knowledge bases with Stripe billing
  • Multi-provider AI routing with cost controls
  • Desktop-native filesystem access

Status

Private preview · engineering teams

Deployment

Self-hosted server option + managed cloud paths

Site

vevesh.com

Ready to put your project knowledge to work?

Vevesh is in active development with early design partners. Reach out to join the preview or discuss deployment for your team.