Pinchy vs Microsoft Copilot Studio
Copilot Studio is a low-code agent builder inside the Power Platform — powerful if you live in Microsoft 365, but your data is processed in Microsoft's cloud, the models are the cloud models Microsoft offers (OpenAI GPT, Anthropic Claude, plus admin-approved external models), and usage is metered in credits. Pinchy is open source (AGPL) and self-hosted: your infrastructure, any model including local Ollama, per-agent permissions, and a signed audit trail.
The Core Difference
Build agents visually, wired natively into Microsoft 365, Teams, and Dataverse. Microsoft runs it in its cloud, with OpenAI and Anthropic models among its choices, billed by credits. The center of gravity is the Microsoft ecosystem.
One Docker stack on your own servers, any model you choose, fully offline if you want. The center of gravity is control: your data, your model, per-agent permissions, and a signed record of every tool call.
Copilot Studio processes data in Microsoft and Azure services and offers a curated list of cloud models, with no offline mode. Pinchy keeps data on your infrastructure and lets you pick any provider, or a local model, per agent.
Side by Side
Figures as of 16 October 2026, taken from Microsoft's public pricing, product and documentation pages. Check Copilot Studio for current details.
| Copilot Studio | Pinchy | |
|---|---|---|
| Category | Low-code agent builder (Power Platform) | Self-hosted agent platform |
| License | Proprietary (Microsoft) | AGPL-3.0 (open source) |
| Deployment | Microsoft cloud (SaaS) | Your servers (Docker) |
| Self-host / fully offline | No | Yes (offline with Ollama) |
| Where data is processed | Microsoft / Azure services; external models are connected through the Microsoft 365 admin center, and cross-geo models may process data outside your region | Your infrastructure |
| Model choice | Microsoft-curated cloud models: OpenAI GPT and Anthropic Claude at GA; Anthropic, xAI and Mistral as admin-enabled external models; cloud-hosted only, no offline mode | Any provider via your own API keys (OpenAI, Anthropic, Google), or local via Ollama, fully offline |
| Pricing | Copilot Credits: $200 per 25,000 credits a month (pack), pre-purchase plan, or Azure pay-as-you-go; internal agents included with Microsoft 365 Copilot ($30/user/mo billed yearly) | Community free (AGPL), no user limit; Pro €1,188/yr for up to 10 users, quote above; model API paid to your provider directly |
| Ecosystem | Microsoft 365 / Power Platform / Dataverse | Standalone, runs as Docker containers on a Linux x86-64 server |
| Per-agent tool permissions | Power Platform governance | Allow-list per agent |
| Audit of agent actions | Power Platform / Purview | Community: every row HMAC-SHA256-signed and hash-chained, built-in verifier, CSV export |
| Inspect / modify the code | No | Yes |
Being Honest
If your company runs on Microsoft 365, Teams, Entra, and Dataverse, Copilot Studio is wired in natively — identity, data, and surfaces you already use. Pinchy integrates with a focused set instead.
Copilot Studio is designed for citizen developers: build agents through a visual interface, with the huge Power Platform connector library behind it, and extend them with MCP tools and resources. Pinchy has no MCP support and no low-code builder. Its integrations are built in (Odoo, email, web search, knowledge base), configured by admins, and assume a little more technical comfort.
Microsoft's compliance estate, support, and global infrastructure are hard to match. For organizations standardized on Microsoft, that backing is a real advantage.
Microsoft runs the service; there is no infrastructure for you to operate. Pinchy assumes someone runs a Docker Compose stack and picks a model. If you do not want that, the convenience is worth real money.
Where Pinchy Wins
Pinchy runs on your own servers. With a local model via Ollama, prompts and documents stay on your network; only the external integrations you grant (web search, Gmail or Microsoft 365, Telegram) reach outside. With a local model and no external integrations, it runs fully air-gapped. The license is validated offline; nothing phones home.
Choose OpenAI, Anthropic, Google, or a local model via Ollama, per agent, with your own API keys. Copilot Studio offers a curated cloud list; Pinchy can also run a model on your own hardware, fully offline. Swap as prices and capabilities change, without re-platforming.
Pinchy is AGPL-3.0 and standalone: no Power Platform, Dataverse, or per-credit metering, and no user limit in the free Community edition. Read the code, modify it, run it as Docker containers on a Linux x86-64 server (Docker Engine 20.10+, Compose v2), in the cloud or on-prem. You pay for your own servers and your model provider directly; Pinchy's licence covers neither.
Agents get no tools beyond their own workspace until an admin grants them, per agent; templates propose a starting set, and only admins create agents. Every tool call is recorded in an audit row that is HMAC-SHA256-signed and hash-chained, with a built-in verifier and CSV export, in the free Community edition.
Pinchy ships a deep Odoo integration: query stock, create orders, reconcile invoices, all from chat or Telegram. The knowledge base adds document folders granted per agent, indexed locally, with answers that cite their source page. For Odoo-centric businesses, acting inside the ERP is a first-class use case.
Pinchy has no run-time approval step. The limit is what the agent was granted: email_draft without email_send, Odoo read tools without write tools, or no tools until an admin grants them.
Decision Guide
Your organization is all-in on Microsoft 365 and the Power Platform, you want low-code building with native Teams and Entra integration, and processing data in Microsoft's cloud is acceptable.
Data must stay self-hosted or fully offline, you want model choice and open source with no Microsoft lock-in or per-credit metering, and especially when Odoo is central to the work.
Do you live inside Microsoft's cloud and want low-code agents there? That is Copilot Studio. Or do you need self-hosted, model-agnostic, open-source agents you control? That is Pinchy.
FAQ
For teams that want self-hosted, open-source, model-agnostic agents instead of a Microsoft-cloud builder tied to the Power Platform, yes. Copilot Studio is a low-code agent builder inside Microsoft 365 and the Power Platform, run in Microsoft's cloud. Pinchy is an AGPL, self-hosted agent platform you run on your own infrastructure, with any model and a signed audit trail.
No. Copilot Studio is a Microsoft cloud service. Even with geographic data-residency settings, data is processed in Microsoft and Azure services, and models marked cross-geo can process data outside the tenant's region. External models such as Anthropic's are connected through the Microsoft 365 admin center. Pinchy runs on infrastructure you operate, and with a local model via Ollama, prompts and documents stay on your network; with no external integrations it runs fully offline.
Copilot Studio offers a Microsoft-curated list of cloud models: OpenAI GPT and Anthropic Claude models are generally available, and admins can add external models from Anthropic, xAI or Mistral. All of them are cloud-hosted. Pinchy is model-agnostic: OpenAI, Anthropic, Google, or local models via Ollama, chosen and swapped per agent with your own API keys. If running a model on your own hardware matters, that is a core difference.
Copilot Studio is metered in Copilot Credits: capacity packs of 25,000 credits at $200 per pack per month, a pre-purchase plan, or pay-as-you-go through an Azure subscription, as of 16 October 2026. Microsoft 365 Copilot ($30 per user per month, paid yearly) includes building and using internal agents at no additional cost. It is tied to Microsoft 365, the Power Platform, and Dataverse. Pinchy Community is free under AGPL-3.0 with no user limit; Pro adds groups, agent visibility and usage analytics for EUR 1,188 per year for up to 10 users, with a quote above that. You pay your model provider directly (or run local models) and operate your own servers, which the licence does not cover. It runs standalone with no ecosystem lock-in.
Choose Copilot Studio when your organization is all-in on Microsoft 365 and the Power Platform, you want low-code building with native Teams and Entra integration, and processing data in Microsoft's cloud is acceptable. Choose Pinchy when data must stay self-hosted or offline, you want model choice and open source with no Microsoft lock-in, and especially when Odoo is central to the work.
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