Neurifly vs Gemini
Gemini reaches most companies inside Google Workspace, billed per user with the rest of the suite. Neurifly is a separate, usage based platform over models from several vendors, with an audit trail behind every call.
Google distributes Gemini as part of Workspace: the assistant appears in Gmail, Docs and Meet, and the cost is a per user subscription for the whole suite. For an organization already standardised on Workspace that is convenient and well integrated. What a suite is not designed to be is a controlled environment for AI work across vendors. A Gemini alternative for business typically has to answer four questions: which model handled this request, what did it read, what did it cost, and who authorised it. Neurifly answers all four by design. Models from several vendors, including open weight ones, are selected per conversation on a single account. Retrieval is scoped to a knowledge base, a folder or named documents, with access granted per base and per group. Code runs in an isolated sandbox with no network of its own. Every call is appended to a trail carrying its model, tokens, latency and cost, and the whole platform is hosted in the European Union.
| What you are comparing | Neurifly Apptivity | Gemini Google |
|---|---|---|
| Paid for what runs, not per seat | Confirmed A balance you top up, spent on tokens, searches, runs and storage. No seats and no minimum. | Unconfirmed Sold inside Google Workspace, where the subscription is priced per user for the whole suite. source |
| Runs in the European Union without changing plan | Confirmed European Union by default, on every plan. There is no region to switch on. | In part Google publishes data region options for Workspace; which ones apply depends on the edition. source |
| Models from more than one vendor on one account | Confirmed Models from several vendors, including open weight ones, picked per conversation and billed on one account. | Unconfirmed Google's own Gemini models. source |
| Every call recorded with its tokens, latency and cost | Confirmed An append only trail with the model, tokens, latency, cost and the key that made the call. Agent runs are hash chained. | In part Workspace admin tools cover logging and reporting for the suite. source |
| A budget per key, refused before the spend | Confirmed A limit per key and per organization. The call is refused before it goes past the limit rather than invoiced after. | Unconfirmed See the vendor's own pages. source |
| Attach files to a conversation | Confirmed Documents and images go into the conversation and land in a knowledge base you control. | Confirmed A standard part of the product. source |
| Answers can search the web | Confirmed Search is a platform service: the organization picks the engine, results are redacted before the model sees them, and every query is priced and recorded. | Confirmed A standard part of the product. source |
| Single sign on for the whole company | Confirmed Sign in with the company account, with roles and a permission catalogue enforced by every service rather than by the interface. | Confirmed Part of Google Workspace administration. source |
| Several models answer the same question at once | Confirmed Fusion sends the question to a panel of models in parallel and a separate model synthesises the result. | Unconfirmed See the vendor's own pages. source |
| Every source opens on the passage it came from, with its page and relevance | Confirmed Sources are numbered from what retrieval actually returned, and each opens the passage with its page number and its relevance score. | In part Gemini cites what it reads; the detail is on Google's pages. source |
| You choose what a conversation may read: a base, folders, or single documents | Confirmed Retrieval is pointed at a knowledge base, at folders in it, or at named documents, and access is granted per base and per group. | In part Workspace content and files are offered; the detail is on Google's pages. source |
| Code the model writes runs in a sandbox with its network cut | Confirmed The 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 part Google publishes a code execution feature; the detail is on its pages. source |
Confirmed
In part
Unconfirmed
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.