Pinchy vs ChatGPT Enterprise
ChatGPT Enterprise is OpenAI's polished enterprise ChatGPT: cloud-hosted, OpenAI frontier models, an admin console, SOC 2, and a promise not to train on your data. Pinchy is self-hosted first: AGPL open source, model-agnostic across any provider plus local Ollama, with default-deny per-agent permissions and a signed audit trail. The real split is where your data lives. With ChatGPT Enterprise it is processed in OpenAI's cloud under a no-training pledge. With Pinchy it never leaves your servers at all.
The Core Difference
Your prompts and connected data are processed in OpenAI's cloud. OpenAI commits not to train on your business data by default and offers multi-region data residency, but the data still leaves your network to reach OpenAI. You get a polished chat experience and zero infrastructure to run.
Pinchy runs on your own infrastructure, one Docker Compose stack, your models, your data. Paired with a local Ollama model, no prompt or document ever leaves your network. The center of gravity is governance: which tools each agent may use, and a signed record of everything it does.
ChatGPT Enterprise is proprietary and runs only on OpenAI models. Pinchy is AGPL-3.0, public on GitHub, and model-agnostic across Anthropic, OpenAI, Google and Ollama. The difference is not a slogan, it is whether you can read the code and choose the model.
Side by Side
Figures as of June 2026. ChatGPT Enterprise does not publish pricing; its terms come from sales. Check each vendor's current terms.
| ChatGPT Enterprise | Pinchy | |
|---|---|---|
| Product model | Managed OpenAI cloud (proprietary) | Self-hosted first (AGPL) |
| License | Closed source | AGPL-3.0, open source |
| Where data is processed | OpenAI cloud (no-training pledge, multi-region residency) | Your infrastructure, never leaves |
| Self-hosting / air-gapped | Not available | First-class (Docker Compose, GHCR) |
| Models | OpenAI frontier only (GPT-5, GPT-4o, o-series) | Anthropic, OpenAI, Google, Ollama (local + cloud) |
| Local models / offline | No | Ollama, fully offline |
| Chat UX polish | Best-in-class | Functional, focused on governance |
| Channels | Web, mobile, desktop apps | Web UI + Telegram |
| Per-agent tool permissions | Workspace RBAC, apps on/off | Default-deny allow-list per agent |
| Audit of agent actions | Enterprise audit logs (cloud-retained) | HMAC-signed per row, free, CSV export |
| SSO / SAML / SCIM | Yes | On the roadmap, not shipped |
| Granular custom RBAC roles | Yes | Admin/Member + Groups; custom roles on roadmap |
| Compliance certifications | SOC 2 Type II, ISO 27001 and more | None yet |
| Free tier | No (annual contract, seat minimum) | Yes (AGPL, no user limit) |
| Pricing model | Per seat (est. ~USD 40-75/seat/mo, ~150-seat minimum) | Free + flat Pro (~EUR 99/mo, up to 10 users) |
| Telemetry / phone-home | Cloud product, usage data with OpenAI | Zero telemetry, offline license check |
| Maturity / backing | OpenAI scale, broad ecosystem | Early-stage, built in public |
Being Honest
ChatGPT Enterprise has the most refined chat UX in the category, with native web, mobile, and desktop apps and a vast ecosystem of apps and connectors. Pinchy's interface is functional and focused on governance, not on being the slickest assistant.
You get unmetered access to OpenAI's newest frontier models the moment they ship, tuned and operated by the people who build them. Pinchy can call OpenAI too, but you manage your own API keys and rate limits.
SOC 2 Type II, ISO 27001 and a broad certification portfolio, plus SSO, SCIM, granular RBAC, and enterprise key management. Pinchy has strong self-hosted governance but no certifications, and SSO and custom RBAC roles are still on the roadmap.
Nothing to host or patch. OpenAI runs the infrastructure, the uptime, and the support, at a scale Pinchy cannot match. If you would rather not run a Docker stack, that managed convenience is real.
Where Pinchy Wins
This is the structural difference. ChatGPT Enterprise promises not to train on your data, but the data still travels to OpenAI's cloud to be processed. With Pinchy on a local Ollama model, no prompt or document ever leaves your network. Not a pledge, a boundary.
Run Anthropic, OpenAI, Google, or local Ollama, and switch per agent. ChatGPT Enterprise runs OpenAI models only. If a provider changes terms, raises prices, or a model regresses, Pinchy lets you move without changing platforms.
Each agent starts with zero tools; admins enable each one explicitly, per agent. Every tool call is written to an individually HMAC-SHA256-signed audit row you can export to CSV and verify. Governance is the product, not an add-on tier.
Pinchy is AGPL-3.0 and public on GitHub, with no user limit on the free tier. You can read the code, fork it, and audit exactly what it does. ChatGPT Enterprise is closed and priced per seat behind an annual contract.
Pinchy ships a deep Odoo integration over JSON-RPC plus Gmail, web search, and a document knowledge base. Agents query stock, create orders, and reconcile invoices from chat or Telegram, governed and audited, on your infrastructure.
API keys are encrypted at rest with AES-256-GCM, the license is validated offline, and Pinchy sends no telemetry. For an air-gapped or data-residency-bound deployment, nothing leaves the building.
Decision Guide
A managed OpenAI cloud is acceptable, you want the most polished chat experience on frontier models, you need certified compliance (SOC 2, ISO 27001) and SSO/SCIM today, and per-seat pricing fits your budget.
Data residency is a hard requirement and your data must never leave your servers, you want model choice including local and offline models, and you need default-deny per-agent permissions plus a signed audit without paying per seat.
Is a no-training promise enough, or must the data never leave at all? If "processed by OpenAI under contract" is acceptable, ChatGPT Enterprise is the more polished choice. If the answer is "it stays on our servers, full stop", that points to Pinchy.
FAQ
No. ChatGPT Enterprise is OpenAI's proprietary, closed-source product. You cannot read the source, fork it, or audit how it works. Pinchy is open source under the AGPL-3.0 license and public on GitHub, so you can inspect, modify, and run the whole stack yourself.
No. ChatGPT Enterprise is a managed cloud product hosted and operated by OpenAI. Your prompts and connected data are processed in OpenAI's cloud, with multi-region data residency available. There is no on-premises or air-gapped deployment. Pinchy is self-hosted first: a single Docker Compose stack on your own servers, and paired with a local Ollama model it runs fully offline.
For teams where data residency and governance are hard requirements, yes. ChatGPT Enterprise gives you the most polished chat experience on OpenAI's frontier models, but the work happens in OpenAI's cloud. Pinchy runs on your infrastructure, is model-agnostic across Anthropic, OpenAI, Google and local Ollama, and ships per-agent tool permissions plus a signed audit trail. If you simply want the best managed OpenAI chat UX, ChatGPT Enterprise is the stronger pick.
ChatGPT Enterprise does not publish prices. It is sold per seat on an annual contract, typically with a seat minimum, so the real number comes from a sales conversation rather than a public page. Pinchy is free under AGPL-3.0 with no user limit, and adds a flat Pro tier (around EUR 99 per month billed annually, up to 10 users, not per seat). Governance features are in the free tier.
Switch when your data cannot leave your own infrastructure, when you need model choice including local and offline models, or when you want default-deny per-agent permissions and a tamper-evident signed audit without per-seat pricing. Stay on ChatGPT Enterprise when a managed OpenAI cloud is acceptable, you want certified compliance such as SOC 2 Type II and ISO 27001 today, and the priority is the most polished chat experience on OpenAI's frontier models.
Self-host Pinchy yourself in minutes, or book a call to talk it through. Your choice.
Or email us: info@heypinchy.com