Neurifly vs ChatGPT
ChatGPT is OpenAI's assistant, licensed per user, with European data residency offered on its business plans. Neurifly runs in the European Union on every plan and charges for the work that actually ran.
OpenAI sells ChatGPT per user, from a self serve business plan with a two seat minimum up to contracts handled by sales, and publishes European data residency for business customers, covering content stored at rest. For many companies that is enough. A ChatGPT alternative becomes interesting when the requirement moves from a single assistant to a governed platform: several vendors' models available on one account, a panel of them answering the same question when the answer matters, retrieval pointed at a specific knowledge base, folder or document, code executed in a sandbox with its network cut, and a cost model that follows usage instead of headcount. Neurifly provides that layer with European hosting as the default rather than an option, an append only record of every call including its cost, and spending limits per API key that refuse the request before the budget is exceeded.
| What you are comparing | NeuriflyApptivity | ChatGPTOpenAI |
|---|---|---|
| A seat that carries a usage limit worth more than it costs | Confirmed14 euro per seat a month carries a 20 euro monthly usage limit, about seven times what an ordinary person consumes. Past it work carries on and is charged from a balance you top up, with a budget per API key. One person can stay on usage only for ever. | UnconfirmedBusiness is 25 dollars per user a month, 20 billed annually, minimum 2 seats. Enterprise goes through sales.source |
| Runs in the European Union without changing plan | ConfirmedEuropean Union by default, on every plan. There is no region to switch on. | In partEuropean data residency is offered on the business plans at no extra cost and covers stored content.source |
| Models from more than one vendor on one account | ConfirmedModels from several vendors, including open weight ones, picked per conversation and billed on one account. | UnconfirmedOpenAI's own models.source |
| Every call recorded with its tokens, latency and cost | ConfirmedAn append only trail with the model, tokens, latency, cost and the key that made the call. Agent runs are hash chained. | In partThe Enterprise pages list the admin and compliance features.source |
| A budget per key, refused before the spend | ConfirmedA limit per key and per organization. The call is refused before it goes past the limit rather than invoiced after. | UnconfirmedThe seat price is fixed and API usage is billed separately.source |
| Attach files to a conversation | ConfirmedDocuments and images go into the conversation and land in a knowledge base you control. | ConfirmedA standard part of the product.source |
| Answers can search the web | ConfirmedSearch is a platform service: the organization picks the engine, results are redacted before the model sees them, and every query is priced and recorded. | ConfirmedA standard part of the product.source |
| Single sign on for the whole company | ConfirmedSign in with the company account, with roles and a permission catalogue enforced by every service rather than by the interface. | ConfirmedListed on the Enterprise pages.source |
| Several models answer the same question at once | ConfirmedFusion sends the question to a panel of models in parallel and a separate model synthesises the result. | UnconfirmedSee the vendor's own pages.source |
| Every source opens on the passage it came from, with its page and relevance | ConfirmedSources are numbered from what retrieval actually returned, and each opens the passage with its page number and its relevance score. | In partChatGPT cites what it reads; the detail is on OpenAI's pages.source |
| You choose what a conversation may read: a base, folders, or single documents | ConfirmedRetrieval is pointed at a knowledge base, at folders in it, or at named documents, and access is granted per base and per group. | In partFiles and workspace knowledge are offered; the detail is on OpenAI's pages.source |
| Code the model writes runs in a sandbox with its network cut | ConfirmedThe runner installs a filter on itself that cuts the network, files it produces come back to you, and the run is recorded like any other action. | In partOpenAI publishes a code interpreter feature; the detail is on its pages.source |
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Last updated 4 August 2026
Start with a question, not a project.
Create an account, ask something real, and look at what the trail recorded. That is the whole evaluation.