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Training retention
Customer corpora are not pooled for model training
Features
The most complete
engineering AI stack
Local and cloud. Phone and desktop and browser. Five-plus engines. Verification loops. Global sector KBs. Consultant mode. Evidence packs. And privacy that treats your load cases like secrets.
Super private · zero retention · military-grade boundaries
Zero retention privacy 5+ turbo engines Military-grade boundaries Local · cloud · mobile · desktop Standards-grade citations Verification loops
Privacy & trust
Zero retention.
Your knowledge is not our product.
Consumer AI treats your uploads as fuel. Vevesh treats them as classified engineering material — isolated planes, explicit boundaries, and architecture that assumes your worst-case leak is unacceptable.
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Isolated CF accounts
Marketing · ops workers · user KB data — separated
∞
Local-first option
Index on your machine; cloud only when you choose
RBAC
Team privileges
Customizable access per project and knowledge base
Full platform
Every capability, no compromises
Privacy & trust
Super private. Zero retention. Military-grade boundaries.
Zero retention by design
Your prompts and source files are not a training dataset.
Military-grade privacy posture
Boundary-first engineering for teams who cannot leak load cases.
Local AND cloud — you choose
Desktop-native indexing or edge pipeline — same folder authority.
Phone · computer · browser
Field engineers on mobile. Leads on desktop. Reviewers in the browser.
Accuracy & standards
Extremely accurate. Norms respected. Evidence you can sign.
Respect for norms & standards
IEC, ISO, Eurocode — cited by clause, not paraphrased from memory.
Engineering RAG routing understands standards corpora vs project reports. Answers distinguish normative text from your team's interpretation — critical when fatigue load combinations govern sign-off.
State-of-the-art verification loop
Multi-hop retrieval with conflict detection when sources disagree. Verification passes flag contradictions before they reach your deliverable. Human-in-the-loop by design, not as an apology.
Evidence reporting
Export grounded responses as evidence bundles for design reviews, client submissions, and internal QA — every claim tied to an indexed artifact your reviewer can open in seconds.
Advanced conflict resolution
Conflict logic surfaces competing passages, revision timestamps, and retrieval scores so engineers pick the governing document instead of trusting a smoothed summary.
Project workflow
Version control aware. Live updates. Project management native.
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Project management workflow
Indexes follow how projects actually move — not how SaaS wishes they did.
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Version control & revision awareness
Content hashing means only what changed gets re-processed.
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Live update review
Watch raw → chunks → indexed → in-database in real time.
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Novel project file meshing
Visualize how documents relate — not just a flat file list.
Turbo processing
5+ engines. Every major format. Research-grade depth.
5+
Turbo processing · 5+ engines
Express · Structure · Flow · Premium — plus local/server paths.
Pick extraction depth per knowledge base. Digital PDFs fly on Express. Scanned archives get Premium vision. Batch atomicity ensures chunks never land half-finished.
Mul
Multiple document types
PDF · Office · code · drawings · media — one index, many extractors.
Text, visual, and multimedia paths share a unified retrieval layer. Engineering teams stop maintaining separate search tools for each format silo.
Res
PhD & research engine
Literature reviews across papers, annexes, and supplementary data.
Deep chunking and cross-document synthesis for research workflows — with citations tight enough for thesis committees and peer review, not just lab notebooks.
Tur
Super-deep cross-format search
Hybrid vector + BM25 across every indexed format in one query.
Extremely fast coarse retrieval with fine reranking — search that respects technical vocabulary, not consumer keyword matching.
Knowledge bases
Global vetted sectors. Custom corpora. Offline and online RAG.
Global verified industry sectors
Vetted sector knowledge bases — wind, energy, and beyond.
Customizable knowledge bases
Your extraction rules, exclude patterns, size limits — per KB.
Custom RAG offline & online
Local indexes for air gap. Hosted KBs for the whole team.
Document referencing system
Every answer is a pointer chain back to primary sources.
AI engines & tools
Consultant mode. Model workflows. Massive tool calling.
AI tuning engines
Route by task type, cost ceiling, and latency budget. Auto workflows pick the right model stack for extraction vs reasoning vs vision — tunable per team policy.
Consultant mode
Consultancies query internal methodology without exposing client folder structure. Open vs ghost modes match how much you want citations to reveal in deliverables.
Text · visual · multimedia
Unified retrieval spans text layers, vision extraction, and media-derived captions — so a site photo and its report paragraph answer together.
Massive tool calling range
LangGraph-orchestrated tool loops route across OpenAI, Anthropic Claude, Moonshot AI Kimi, Google Gemini, Groq, and DeepSeek lanes — retrieve, compute, compare, format — with usage metering and generous live allowances during preview.
Team & history
Privileges. History. Revert. Generous live usage.
- ✓ Team management & privileges — Owners, members, project overrides — customizable access graphs.
- ✓ History & revert management — Conversation history with index-generation awareness.
- ✓ Live usage · generous allowances — Transparent metering — trial, included, and PAYG without surprise bills.
- ✓ High retrieval benchmarks — Hybrid search tuned for recall on technical corpora.
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.
No spam. No sales deck unless you ask. We onboard engineering teams who have real folders to index.