Tribal knowledge walks out the door
Your most experienced technicians retire or move on, and the know-how that isn't written down anywhere leaves with them.
We build a simple AI tool trained on your manuals, procedures and quality files — so your team gets the right answer right away, instead of digging through binders and PDFs.
Your most experienced technicians retire or move on, and the know-how that isn't written down anywhere leaves with them.
Binders, shared drives and PDFs with inconsistent versions — nobody's fully confident they're looking at the current one.
Finding the right document, revision or inspection record under deadline pressure eats days your quality team doesn't have.
Braidstack is based in Chennai, Tamil Nadu — one of India's largest manufacturing hubs, home to major automotive and auto-component clusters, textile manufacturing centered on Coimbatore and Tiruppur, and a deep base of engineering suppliers across the state. If you're a Tamil Nadu manufacturer, that means working with a team that understands your operating context first-hand — not a vendor learning it from scratch.
Turn paper binders and scattered PDFs into a searchable, versioned system your team can actually query in plain language.
A voice or chat interface that answers from your own manuals and specs — not a generic chatbot guessing at the right answer.
Extract data from inspection forms, spec sheets, BOMs and supplier documents automatically — no more manual data entry.
Make inspection records, non-conformance logs and audit trails searchable — so audit prep stops being a fire drill.
SOPs, manuals, specs, inspection forms — securely ingested and indexed, in whatever format they're already in.
Content is structured and embedded so it can be searched by meaning, not just exact keywords.
Your team asks questions in plain language on web, chat or voice — every answer cites its source document.
Track what's being asked, fix gaps in source documentation, and expand to more lines, shifts or sites.
Your documents power only your own AI system — never a shared or third-party model. Read how we handle hosting, data and model vendors.
It answers only from your own SOPs, specs and documents using retrieval-augmented generation (RAG) — every answer cites its source, so it isn't guessing or drawing on generic internet knowledge.
Your documents are used only to power your own AI system — never to train shared or third-party models. See our security page for more detail, or ask us directly on a call.
In most cases, yes — via API or file-based integration with common systems. Tell us what you're running and we'll confirm feasibility before scoping.
Answers are grounded in your source documents with citations, so you can verify any answer against the original. If source documentation is wrong or outdated, the fix is updating that document — the assistant is only as good as what it's given.
Yes — it's designed to be asked questions in plain language, the way you'd ask a colleague, on web, chat or voice.
Book a solutions call and we'll show you how this works on a sample of your own documents.