DocGenie  ·  ntelio.ai  ·  MMXXVI

Private enterprise AI

Your own private GPT. Your own document factory. Your own infrastructure.

Behind your firewall. On your terms.

DocGenie is a private, enterprise-grade AI workspace. It pairs a ChatGPT-style assistant grounded in your own data with an agentic document factory for the structured, high-stakes reports your business has to get right — ESG filings, RFPs, feasibility studies, due-diligence packages, regulatory submissions. It runs on-premise or on sovereign cloud. Your data never leaves your environment.

DocGenie — agentic document generation across an organisation, illustrated as a connected workspace with a central document and a Generate action
01 — The problem

Public AI was not built for your data.

An estimated 15,000–20,000 users in the MENA region alone use public AI tools for work every day — copy-pasting confidential text into chat windows hosted on someone else’s servers, in a jurisdiction they don’t control, on terms that change without notice.

What breaks

The data leaks. Outputs are non-repeatable. The chain of custody is broken. There is no audit trail. The resulting documents — proposals, filings, studies, briefs — fail the standards their consumers (regulators, auditors, courts, boards) demand.

What DocGenie does

DocGenie was built for the work that public AI cannot legally, contractually, or operationally touch. Private by default. Auditable by design. Deployed inside the perimeter you already trust.

Public AI is excellent for public work. DocGenie is for the work that cannot be public.

02 — What DocGenie is

Two surfaces. One private workspace.

DocGenie combines two things every enterprise needs and neither of which public AI can safely deliver: a private GPT for everyday knowledge work, and an agentic factory for the structured documents the business depends on.

· Surface 01 · Private chat

A ChatGPT, restricted to your data.

The interface your people already know — with the privacy guarantees your compliance team requires.

  • Semantic search over enterprise content — documents, drives, CRM, codebase, ticketing
  • Retrieval-augmented generation grounded in your sources, with citations
  • Multi-turn context, attachments, follow-up reasoning
  • ACL-enforced — users only see what they are allowed to see
  • SSO, role-based access, full audit trail
· Surface 02 · Document factory

An agentic pipeline for the documents that have to be right.

Templates plus internal data plus orchestrated agents — producing long-form, structured, audit-ready documents the same way every time.

  • Drag-and-drop templates — sections, tables, blocks, the shape fixed once
  • Agentic generation — retrieval, drafting, validation, assembly
  • Human-in-the-loop review and approval at any stage
  • Repeatable + auditable — sources, prompts, model, reviewer all logged
  • Integrates with internal databases, spreadsheets, and APIs

One workspace. Two modes of work. Same private infrastructure underneath.

— Inside the product

The document factory, on screen.

The structure editor shown below is from a live deployment. Headings (H1–H6), paragraphs, content blocks, and images are arranged on the left. On the right, each block is bound to a tool sequence — Database Query, Document RAG, Final Processing — configured per section. Templates are authored once. Generation is repeatable.

Screenshot of the DocGenie Document Structure editor — a left rail of heading levels and content types, a centre canvas showing a document outline in Arabic with H1 sections and image blocks, and a right panel binding tools (Database Query, Document RAG) to a Final Processing step.
Live deployment Document Structure editor — tool sequences bound to template blocks, with Final Processing producing audit-ready output.
03 — Sovereign by design

Sovereignty is not a feature. It is the foundation.

Most “enterprise AI” still routes your data through someone else’s cloud. DocGenie does not. It is designed to run entirely inside infrastructure you control — on-premise, behind your firewall, in your private cloud, on a sovereign cloud region, in an air-gapped environment if regulation requires it. The model, the data, the chat, the generated documents — none of it leaves your perimeter.

01 · Cloud agnostic

Runs anywhere you do.

AWS, Azure, GCP, OCI, on-prem data centres, sovereign cloud regions, air-gapped environments. Same software, same experience, your choice of substrate.

02 · Model agnostic

Bring your own model.

Open-source models (Llama, Mistral, Qwen, DeepSeek), commercial models, or your own fine-tunes. Swap the model without rewriting the workspace.

03 · Data resident

Nothing leaves the perimeter.

Documents, embeddings, prompts, completions, audit logs — all stored inside your environment. No external telemetry. No silent egress.

Turnkey Private Secure Cloud-agnostic Model-agnostic Sovereign-ready Audit-ready ACL-controlled SSO-integrated
04 — Capabilities

Eight capabilities. One coherent product.

Everything DocGenie ships with, on day one. No assembly required.

01

Private Drive

Built-in secure document store. Upload, organise, manage — fully integrated with chat and generation.

02

Secure Chat

ChatGPT-class interface, restricted to your data, behind your firewall.

03

Customisable Templates

Define the exact structure of your reports — sections, tables, blocks — and reuse them.

04

Agentic Middleware

Modular pipeline of agents for retrieval, drafting, validation, and assembly. Add new tools and data sources.

05

Intelligent Generation

LLM-powered drafts aligned to each template section, fed by your internal databases and APIs.

06

Human-in-the-Loop

Reviewers can edit, accept, or reject at any stage. No silent automation of high-stakes content.

07

Enterprise Security

On-premise or customer-controlled cloud. ACL, SSO, role-based access, full audit trail.

08

Cloud + Model Agnostic

Runs on any infrastructure. Works with any LLM — open-source, commercial, or fine-tuned.

05 — DocGenie vs. public AI

Where DocGenie sits, versus the public tools.

On every dimension that matters for regulated, sensitive, or sovereign work.

Public frontier LLMs
DocGenie
Cloud-only, vendor-controlled
On-premise, private cloud, or sovereign cloud
External servers, often outside your jurisdiction
Inside your perimeter, by default
Variable, non-repeatable, free-form
Structured, repeatable, template-driven
Unverifiable; data residency limited or absent in many regions
Audit-ready, ACL-enforced, SSO
Limited or no integration with private data
Internal APIs, databases, drives, CRM
Whatever the vendor ships
Open-source, commercial, or your own fine-tune
06 — What it generates

The documents that have to be right.

DocGenie is purpose-built for long-form, structured, high-stakes documents. Today it is in production generating, among others:

Government & public sector

Policy white papers · Legislative drafting notes · Grant evaluation reports · National statistics reports · Economic forecasts

Corporate & financial

Annual reports · IPO prospectuses and offering memoranda · Shareholder communications · Portfolio performance reports

Operations & strategy

Feasibility studies · Monthly business reviews · Project status reports · Performance reports

Risk, governance & compliance

Regulatory filings · ESG and sustainability reports · Cybersecurity posture reports · Structured compliance documents

Sales & market intelligence

RFP responses and proposals · Sales playbooks · Market research · Competitive analyses · Customer QBRs

Specialised / sector-specific

Clinical trial reports · Engineering and technical feasibility studies · Environmental impact assessments · Insurance actuarial reports · Real estate appraisals · Due-diligence packages

07 — Where it runs in production

Already deployed, in environments that demand it.

Customers in regulated and sovereign contexts are referenced by description, not name. References available under NDA.

· Sovereign · Public sector

Public administration · Abu Dhabi

A major Abu Dhabi public administration runs DocGenie as its private AI workspace — chat over internal content and document generation, both inside the sovereign perimeter. No public AI traffic. No external data flows.

Private chat · Document generation
· Government · Capital projects

Urban planning · MENA city

The urban planning department of a major MENA city uses DocGenie to generate full feasibility studies — 50-page documents drawn from internal datasets and public records. Time required to produce a study has dropped from weeks to days.

Feasibility studies · 50-page outputs
· Enterprise · Sales

Sales proposals · Global logistics

The world’s second-largest logistics provider uses DocGenie to generate sales proposals through conversation — industry-specific costings, terms, and structure. Two senior pricing-desk roles’ worth of effort returned to higher-value work; response times to customer enquiries materially improved.

RFP responses · 2 FTE freed
08 — The platform underneath

Built on a platform we have run for over a decade.

DocGenie is not a wrapper around someone else’s API. It is a vertical product on the ntelio AI platform — the same substrate underneath every product we ship. The platform handles storage, messaging, agent orchestration, vector search, time-series, model lifecycle, identity, and the operational concerns that turn a demo into a production system.

Multi-tenant by default. Token-based security. Cloud-agnostic from the ground up. It has served millions of users and processed trillions of data points across IoT, fintech, conversational commerce, and AI workloads.

Deploy DocGenie. Get a platform underneath it.

09 — Talk to us

Bring DocGenie behind your firewall.

Pilot

Start with one report type.

One team, one quarter. We deploy DocGenie in your environment and prove the value on a single document family before expanding.

Sovereign

Government & regulated industries.

On-premise, sovereign cloud, air-gapped if needed. We have done it before — in environments where nothing else fits.

Partner

Co-build with us.

Systems integrators, MSPs, and sovereign-cloud operators offering private AI to their customers. We co-build the offering.