Neurifly vs Grok
Grok is xAI's assistant, sold to companies through Business and Enterprise plans. Neurifly is a European platform over models from several vendors, billed by usage, with a per call record of what was spent.
xAI offers Grok to companies through a self serve Business plan and a sales led Enterprise plan that adds single sign on and directory synchronisation, and states plainly that business data is never used for training. Neurifly makes the same commitment on training and adds the properties a regulated or cost conscious organization tends to ask for next. Work is processed in the European Union by default. The account is not tied to a single vendor's models, so a task can be routed to an efficient model and an important question can be put to several at once. Every call is recorded with its tokens, latency and cost, and a budget attached to an API key refuses the request instead of producing a surprise at the end of the month. Billing follows real usage rather than a seat count, which is what makes a pilot cheap to start and easy to defend.
| What you are comparing | Neurifly Apptivity | Grok xAI |
|---|---|---|
| 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 Business is sold self serve and Enterprise through sales; see xAI for the rate. source |
| Runs in the European Union without changing plan | Confirmed European Union by default, on every plan. There is no region to switch on. | Unconfirmed See xAI's own pages for where data is processed. 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 xAI's own Grok 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 Enterprise adds single sign on and directory sync on top of Business. 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 Enterprise adds single sign on and directory sync. 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 The assistant cites what it reads; the detail is on xAI'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 File upload is offered; the detail is on xAI'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. | Unconfirmed See the vendor's own 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.