Private document intelligence · for document-heavy & regulated SMEs

The answer is in a document.
Nobody can find it.

Legal, compliance, accounting, engineering and healthcare teams lose hours a week searching policies, contracts, manuals and case files. Search returns files; people need answers. We build private, citation-grounded AI assistants that answer questions across your internal documents and show you exactly which paragraph the answer came from — cloud, or entirely inside your own environment.

Request a Private Document-AI Demonstration Try the Live Demo

Scoping assessment is fixed price, $390. One week. No obligation to continue.

Who this is for

We are deliberately narrow. This works best when the following describes you:

The organisation

  • Legal and compliance firms, accounting and financial advisory, engineering and construction, healthcare administration, insurance operations, manufacturers with large technical documentation sets, government contractors, professional associations
  • Roughly 20–500 people, with a defined group who work in the documents daily
  • Thousands of documents already in one or more repositories — network shares, SharePoint, a DMS, or a records system
  • Confidentiality obligations that make public AI tools a non-starter

The situation

  • Staff spend real hours each week hunting through policies, contracts, manuals or records
  • Existing search returns a list of files, not an answer someone can act on
  • Multiple versions of the same document are in circulation, and acting on a superseded one carries real consequences
  • An answer is only useful if it can be traced back to the source text and defended

Where we are a poor fit

If your documents are mostly scanned images of poor quality with no usable text, if nobody internally can say which version of a document is authoritative, if you need the system to give legal, medical or financial advice rather than surface and cite what your own documents say, or if you are looking for a general-purpose chatbot rather than answers grounded in your own material — we will tell you on the call rather than take the engagement.

What this usually looks like

The pattern repeats across document-heavy organisations. The knowledge exists in writing. Getting to it is the expensive part.

Hours lost to searching

Qualified, expensive staff spend a meaningful part of the week locating a clause, a policy paragraph or a specification they know exists somewhere.

Search finds files, not answers

Keyword search returns forty documents that mention the term. Someone still has to open each one and read until they find the part that matters.

Generic AI can't be trusted here

A confident answer with no reference to a source is worse than no answer, because someone has to verify it anyway — and sometimes doesn't.

The documents are confidential

Client files, patient records, contracts and proprietary specifications cannot be pasted into a public AI tool. Correctly, that ends the conversation.

Version risk

Three revisions of the same policy or drawing set are in circulation. Acting on the superseded one is a real and recurring exposure.

Knowledge concentrated in a few people

Everyone routes the hard questions to the one colleague who knows where things are filed. When they are away or leave, the map goes with them.

What you get

A production system over your existing document repositories. We do not ask you to migrate them.

A citation-grounded document assistant

Staff ask a question in plain language and get an answer with citations back to the source text — document, section and passage — so the answer can be checked in seconds rather than taken on faith. Built on GroundTruth, our citation-grounded retrieval product, which you can try before you commit.

Ingestion across your real repositories

PDFs, Word files, scanned documents, spreadsheets and email attachments, pulled from network shares, SharePoint or a document management system. Version and effective-date handling is designed in, so the assistant can prefer the current document and tell you when an older one is being cited.

Role-based document access

Different teams see different document sets. Access is scoped so the assistant cannot surface material a given user was never entitled to open, and queries are logged so you can see what was asked and what it saw.

Handover, not dependency

Documentation, training for the people who will use it, and a system your own IT can operate — including fully on-premise if that is the requirement. Ongoing support is available but never required.

How long it takes

Every stage has a defined end. You are never signing up for an open-ended project.

Stage Duration What ends it
Demonstration Same week A working walkthrough on the live demo and a scoped view of your own document set. No data required from you.
Document Intelligence pilot 2–4 weeks One document set indexed, real questions answered with citations, retrieval accuracy and refusal behaviour measured.
Production deployment 4–8 weeks Live system, role-based access, audit logging, training and handover complete.
Operations retainer Ongoing, monthly Optional. New document sources, retrieval tuning, maintenance, monthly review. Cancellable.

Ranges reflect scope, not uncertainty — the pilot fixes which end of the range applies to you before you commit to a production build.

The security model

For confidential documents this is the first objection, and it should be. Here is exactly how the system touches your material.

Grounded answers

Document AI returns answers with citations back to the source text. Every claim points at a passage in a document you own, so a reviewer can confirm it rather than trust it.

Refusal over guessing

When there isn't enough evidence to answer safely, the system is designed to say so rather than guess. For regulated work, a clear "not found in these documents" is the correct output.

Cloud or fully on-premise

You choose where the system runs. On-premise deployments can use locally hosted open models so that your data never leaves your environment.

Your documents are not training data

Where a product uses a hosted model, we use established providers via their APIs — or a local model when you prefer. We do not use your business data to train AI models.

Least privilege

Access is scoped to the data a feature needs, and document sets are allow-listed per role. Different teams see different documents, and the assistant answers only from what that user is entitled to see.

Audit logging of queries

Systems can be configured with audit logging of queries, so you always know what was asked, which documents were retrieved, and what was returned.

An honest note on certifications

SiliconBlaze does not currently hold formal certifications such as SOC 2. We state that plainly rather than implying otherwise. What we offer instead is transparent, technically specific documentation of how our systems handle your data — and the option to run everything inside your own environment, under your own controls, so the deployment sits within the compliance regime you already operate. Full detail is on our security page.

What we aim for

These are the targets we set with you at the start and measure against afterwards. They are goals for the engagement, not averages from past clients.

Search time replaced with answer time

Routine lookups answered directly with a citation instead of a manual hunt through folders. Measured as hours per month returned to the people currently doing the searching.

Answers that survive review

A target rate for answers that are correctly grounded in the right passage, measured on a question set your own subject-matter experts write and mark during the pilot.

Fewer decisions made on the wrong version

The current, effective document surfaced by default, and superseded material flagged when it is cited — so version risk is visible at the point of use rather than discovered later.

Knowledge that doesn't depend on one person

New and junior staff able to answer document questions without escalating to the colleague who knows where everything is filed, so onboarding stops being a bottleneck.

We will not quote you an accuracy figure before seeing your documents. Anyone who does is guessing.

Illustrative scenario

A compliance team with 40,000 documents

Illustrative scenario. This example is based on common patterns we see in document-heavy organisations. It is not a specific, named client, and the figures are illustrative rather than from a single real engagement.

Consider a mid-sized professional services firm: around 60 fee earners, a two-person compliance function, and roughly 40,000 documents across a network share and a document management system — policies, engagement letters, contracts, regulatory correspondence and years of internal guidance. Nothing is missing. Everything is findable in principle. In practice, finding it takes twenty minutes and an interruption to somebody senior.

The scoping week. Rather than start indexing everything, we spend a week on the documents themselves. Which repositories are authoritative, which are archives, how versions are marked, how much of the corpus is scanned rather than text, and which twenty questions people actually ask. The goal is to find the document set worth starting with — not to demonstrate technology.

What tends to surface. A large fraction of the corpus is duplicated or superseded and should not be in scope at all. A meaningful share of older material is scanned at a quality that needs handling before it is usable. And the questions people ask cluster far more tightly than anyone expected — a few dozen recurring shapes, not thousands.

What gets built first. Not everything. One document set — usually current policies and procedures, because it is bounded, the version position is clear, and the compliance team can mark the answers themselves. Their experts write a question set, the assistant answers with citations, and they score whether each answer is grounded in the right passage. If the retrieval is not good enough, we have learned that in three weeks rather than six months.

What production looks like. The assistant is available to fee earners who previously escalated every question. Answers carry citations to the source paragraph. Role-based access means different teams see different document sets, queries are logged, and where confidentiality demands it the whole system runs on the firm's own servers with a locally hosted model.

The point of this scenario is the sequence, not the numbers: understand the corpus first, prove retrieval on one bounded document set, then expand. It is deliberately the opposite of pointing a tool at every file in the organisation and hoping.

What it costs

Published, so you can decide whether to have the conversation. Each stage is a separate decision — nothing commits you to the next.

Start here

Assessment & Scoping

$390

Fixed price, one week. Document and process review, the first document set identified, feasibility and security notes, a deployment roadmap, and a fixed-price proposal.

Document Intelligence Pilot

from $2,400

2–4 weeks. One document set ingested and indexed, citation-grounded answers against your real material, retrieval accuracy and refusal behaviour evaluated, production plan written.

Private Document Intelligence Deployment

from $6,000

4–8 weeks. Repository integration, ingestion pipeline, role-based access, audit logging, evaluation, training, documentation and handover. Cloud or fully on-premise.

Operations Retainer

from $600/mo

Optional and cancellable. Monitoring, retrieval and prompt evaluation, re-indexing as documents change, new sources and user groups, monthly review.

Deployment is scoped by document volume, number of users, the integrations required, and whether you run in the cloud or on-premise — the assessment fixes the figure before you commit. Prices in USD. If you are billing in EUR, tell us on the call and we will quote in EUR at the equivalent rate.

See it answer a real question

The fastest way to judge this is to watch it answer a question and show you the passage it came from. A demonstration takes thirty minutes and requires none of your documents.

Request a Private Document-AI Demonstration

Or try the live demo first — no form required. There is also a short walkthrough video.