Doyna vs. ChatGPT Enterprise7 min read

ChatGPT Enterprise alternative — Doyna for teams that need real integrations

ChatGPT Enterprise is a great chatbot. It is not an enterprise AI assistant. The difference matters when your team's actual question is 'what did the legal team decide about the Acme deal?' — a question ChatGPT can't answer because it has no idea what your company looks like.

Feature	Doyna	ChatGPT Enterprise
Connects to your email	Yes — Gmail and Outlook	No — file uploads only
Connects to your CRM	Yes — HubSpot, Salesforce, Pipedrive	No — file uploads only
Connects to your documents (live)	Yes — OneDrive, SharePoint, Google Drive	Manual upload to Knowledge
Persistent knowledge graph	Yes	No — sessionless
Semantic search across company data	Yes	No — only across uploaded files
Document generation (PPTX/PDF)	Yes — grounded in your data	Yes — text generation only, no template binding
Pricing per user/month	€23–€472 across 4 tiers	Custom (~$60+/user, sales-only)
Self-hosted / on-prem	Yes	No
EU data residency	Yes — Frankfurt or self-hosted	EU regions available, but inference still in OpenAI infrastructure
Frontier model quality (raw)	Multi-model (GPT-5, Claude Opus 4.7, Gemini)	OpenAI GPT-5 only

TLDR

ChatGPT Enterprise is a chatbot. A good one, with admin controls and SOC 2 compliance, but still fundamentally a chat window your users bring context into. Doyna is a company brain — the AI knows who works on what, what's in the inbox, what was decided in the last meeting, and grounds every answer in real company data. If your team's actual questions are about your company, you need the second category, not the first.

The category confusion

A common mistake B2B AI buyers make is treating "ChatGPT Enterprise" and "enterprise AI assistant" as the same product category. They aren't.

ChatGPT Enterprise is OpenAI's commercial wrapper around ChatGPT — same chat interface, same models, with admin SSO, no-training guarantee, longer context, and a compliance story. The product is excellent for what it is: a powerful, sandboxed chatbot for your knowledge workers.

What ChatGPT Enterprise is not: a product that knows what your company looks like. It does not have a live connection to your inbox, your CRM, your documents, your meeting notes. Every conversation starts from zero. If you want ChatGPT to answer "what did Maria decide about the Acme contract last week," you have to paste the relevant emails into the chat first. ChatGPT will then summarize what you pasted. It cannot retrieve.

Doyna is in a different category — what analysts call "enterprise AI assistants" or "AI work platforms." Glean, Microsoft 365 Copilot, and Doyna are in this category. The defining property is live integration with company data plus persistent context. Your AI knows about your inbox without you pasting anything into it.

When ChatGPT Enterprise is the right answer

Your work is mostly content generation (writing, coding, drafting). Context is brought in per-task; persistence isn't required.
Your team uses ChatGPT individually and you want to bring it under IT control with SSO, audit logs, and a no-training guarantee.
You want frontier model access without procurement headaches and don't need integrations.
You're already paying for ChatGPT Pro at scale and want to consolidate billing.

For these jobs, ChatGPT Enterprise is the cleanest option. We don't claim Doyna is better at "write me a 500-word post about X" or "debug this Python function" — that's not what Doyna is for.

When Doyna is the right answer

Your team's questions are about your company specifically: customers, projects, contracts, meetings, decisions, history.
You need a knowledge graph: who works with whom, who owns what, what depends on what.
You want AI grounded in live data: when an email arrives, the AI knows about it 30 seconds later.
You generate structured artifacts (decks, reports, briefs) from your data — not just text.
You need EU data residency or self-hosted deployment.
You want predictable, published pricing without a sales call to get a quote.

The integration gap

The biggest practical difference is what your AI knows on day one.

ChatGPT Enterprise on day one knows: nothing about your company. To make it useful for company-specific work, your team has to:

Upload documents to Knowledge collections (manual, must be kept current).
Paste context into chat (per-conversation).
Use Connectors (per-user authorization, ~12 supported sources as of April 2026).

Doyna on day one knows: your inbox (Gmail or Outlook, full history), your file storage (OneDrive / Google Drive / SharePoint), your calendar, your CRM, your meeting transcripts. The integration is workspace-level — set up once, every team member benefits, the system stays current.

This isn't a minor implementation detail. It's the difference between an AI that can answer "what's the status of the Acme deal?" without prompting and an AI that can't.

The pricing reality

OpenAI does not publish ChatGPT Enterprise pricing. The reported figures from public customer commentary (Hugo Boss, Lowe's, Nuvalence, etc.) cluster around:

$60/user/month as the most-cited number
150-seat minimum in most quoted contracts
Annual commitment required
Custom add-ons for Team Workspace, advanced data analysis, image generation quotas

For a 200-seat company that's roughly $144,000/year before any add-ons.

Doyna's equivalent at 200 seats:

Enterprise tier: €472/user/month annually = €1,132,800/year — Doyna is more expensive at this scale because it's a heavier product (full integrations, knowledge graph, projects, doc generation).

Doyna becomes cheaper when you compare like-for-like at smaller scale or when you factor in what ChatGPT Enterprise doesn't include (no integrations, no knowledge graph, no semantic search, no document generation). For a buyer who would otherwise pair ChatGPT Enterprise with Glean ($40/user) plus a separate document-generation tool, Doyna's bundled price is consistently lower.

How to decide

Your situation	Recommendation
Heavy individual content creation, no integration needs	ChatGPT Enterprise
Coding, writing, ad-hoc analysis	ChatGPT Enterprise
Search across company email and docs	Doyna
Want a knowledge graph of people and projects	Doyna
EU data residency or self-hosted required	Doyna
Document generation grounded in real data	Doyna
5–50 person company	Doyna (no minimum, monthly billing)
Very large company that wants both categories	Both (different jobs)

Next steps

If your team's actual problem is "we can't find anything across our email and docs," ChatGPT Enterprise won't fix it; you need an integration-first product. Read about how Doyna handles data residency and security, check pricing, or book a walkthrough to see Doyna running against real company data in 30 minutes.

Frequently asked questions

Why isn't ChatGPT Enterprise enough?

ChatGPT Enterprise is a powerful chatbot in a fancy admin console. It does not know what your company looks like, who works on what, what's in your inbox, or what was decided in last Tuesday's meeting. Every conversation starts from scratch — you bring the context, ChatGPT processes it. That works fine for general writing, brainstorming, and analysis tasks. It fails the moment your question requires knowing your company's actual data, because there's no integration layer pushing that data to ChatGPT continuously.

Can I use ChatGPT Enterprise's Knowledge feature?

Yes, but it's manual. You upload files into a Knowledge collection, and ChatGPT can answer questions about those files. The friction is operational: someone has to keep that collection up to date. For a 50-person company with thousands of documents updating daily, the manual upload model breaks down. Doyna and Glean and Microsoft Copilot all solve this with live connectors that sync continuously. ChatGPT Enterprise doesn't.

What does ChatGPT Enterprise actually cost?

OpenAI doesn't publish the price. Reported figures from large customers cluster around $60/user/month with annual commitments. There's also a 150-seat minimum in most quotes we've heard. For a 50-person company you're looking at $108,000/year minimum. Doyna's equivalent tier (Team, €157/user/month at 15 seats) is roughly €28,000/year — but more importantly Doyna ships with the integrations and knowledge graph that you'd otherwise need to build yourself on top of ChatGPT.

Should I use both?

Some companies do. ChatGPT Enterprise for free-form tasks (writing, coding, image generation, voice mode) and Doyna for grounded company-specific work. They serve different jobs. If your budget covers both and your team uses both, that's a fine setup. If you can only pick one and the work is mostly answering 'what's going on in our company,' Doyna is the right choice. If the work is mostly 'help me write this thing,' ChatGPT is the right choice.

What about ChatGPT plugins, GPTs, or the Connectors feature?

Connectors (the 2025 OpenAI feature for hooking ChatGPT into Google Drive, Microsoft 365, etc.) is the closest OpenAI has come to closing this gap. As of April 2026 it covers 12 integrations and is per-user, not per-tenant — meaning each user has to authorize each connector individually, and there's no shared knowledge graph across the team. It's useful for individual productivity, less useful as a company-wide AI brain. Doyna is built tenant-first: connectors are configured once at the workspace level.