Sensitive documents. Verifiable answers.

Lore Enterprise queries your contracts, reports, emails, and internal files and returns sourced, verifiable answers — powered by frontier AI models and deployed to your privacy requirements: managed, hybrid, or on-premise.

Book a document audit See a cited answer

30 sec

to find a source

Your choice

managed, hybrid, or on-premise deployment

2-6 wks

usable pilot system

Unfindable information

Teams lose time searching for a clause, decision, report, or precedent that already exists somewhere in the archive.

Unverifiable answers

Generic tools can produce useful summaries, but not always the sources, exact excerpts, and confidence signals behind them.

Sensitive data

Contracts, customer files, technical reports, and compliance evidence cannot be sent to just any cloud service.

Who it is for

For teams that cannot afford the wrong source.

Lore Enterprise is built for organizations that handle large volumes of sensitive documents and must justify their answers: legal, insurance, compliance, industry, engineering, and operations.

Legal departments

Contracts, clauses, past decisions, disputes, and internal doctrine.

Insurance & compliance

Claims, incidents, supporting evidence, procedures, and auditable proof.

Industry & engineering

Technical reports, quality, maintenance, standards, and field feedback.

IT & operations

Privatete deployment, access rights, monitoring, and integration with the existing environment.

Your documents already contain the answers.

Contracts, claims, technical reports, emails, and past decisions already contain the knowledge. The real problem is finding reliable information quickly, in the right document, with the right proof.

We turn this corpus into private RAG infrastructure.

We extract, normalize, index, and connect your sources in a document pipeline adapted to your business vocabulary, confidentiality rules, and access rights.

Every answer comes back with its sources.

Lore Enterprise does more than generate a summary. It retrieves exact excerpts, cited documents, dates, and the evidence needed to verify the answer.

You keep control of the perimeter.

Depending on the deployment you choose, server, document store, vector database, models, and internal interface can run inside your environment with clear access governance.

From scattered files to a private document assistant.

We do not sell an AI demo. We build the foundation that connects your documents, access rights, and business questions into a queryable system.

01Sources

PDF, Word, Excel, emails, scanned reports

02Extraction

OCR, metadata, sections, dates, entities

03Indexing

Privatete vector database and business vocabulary

04Search

Natural language questions, filters, access rights

05Answer

Short synthesis, citations, verifiable excerpts

A useful answer must be provable.

Lore Enterprise reduces the time between a question and the source excerpts needed to decide. Every critical output links back to sources, not just generated text.

Internal question

Which clause applies if the subcontractor misses the notification deadline?

Confidence

92%

Clause 14.2 requires written notice within 10 business days. Penalties may apply if the delay is documented and the formal notice follows the contractual procedure.

Source

Master agreement - Article 14.2

Written notice within 10 business days after detection.

Source

Delivery amendment - Section 3

Penalties calculated per validated day of delay.

Source

Arbitration email - 03/12/2022

Precedent accepted after formal notice.

You choose your level of privacy.

Three deployment models, from the simplest to the most sovereign. Built to support GDPR and EU data residency; frontier models are used under enterprise agreements, with no training on your data.

Managed — recommended

We run the system for you. Your documents stay in your private cloud; only the snippets relevant to each question are sent to the model.

Hybrid

Your documents and index stay with you; reasoning uses frontier models via enterprise API — no training on your data, zero-retention available.

On-premise

Everything inside your perimeter, models included. Maximum sovereignty, for the strictest regulatory constraints.

A production deployment offer, not just a prototype.

Document audit, use case selection, and risk mapping

Target architecture: server, models, vector database, and rights

Ingestion pipeline, indexing, and cited answers

Quality tests, team training, and operational handover

Frequently asked questions

What a decision-maker should know before launching private RAG.

What is Lore Enterprise used for?

Lore Enterprise helps teams query contracts, reports, emails, customer files, and internal archives with a private document AI system that cites the sources used.

How is it different from a generic AI chatbot?

A generic chatbot mainly produces an answer. Lore Enterprise builds a private RAG pipeline with ingestion, indexing, access rights, citations, verifiable excerpts, and client-side governance.

Do sensitive documents leave our environment?

The architecture can be designed to run inside the client perimeter: server, document store, vector database, models, and internal interface.

Which teams is this for?

Legal, insurance, compliance, engineering, quality, industrial, IT, and operations teams that work with large volumes of sensitive documents.

What is the first deliverable?

The first deliverable is a document and technical audit: sources, volumes, formats, access rights, risks, target architecture, and the first priority use case.

Turn your documents into decision infrastructure.

A 30-minute audit is enough to qualify your volumes, risks, and the first document use case to put into production.

View the offer Book a document audit