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 comparingNeuriflyApptivityGrokxAI
A seat that carries a usage limit worth more than it costsConfirmed14 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 sold self serve and Enterprise through sales; see xAI for the rate.source
Runs in the European Union without changing planConfirmedEuropean Union by default, on every plan. There is no region to switch on.UnconfirmedSee xAI's own pages for where data is processed.source
Models from more than one vendor on one accountConfirmedModels from several vendors, including open weight ones, picked per conversation and billed on one account.UnconfirmedxAI's own Grok models.source
Every call recorded with its tokens, latency and costConfirmedAn append only trail with the model, tokens, latency, cost and the key that made the call. Agent runs are hash chained.In partEnterprise adds single sign on and directory sync on top of Business.source
A budget per key, refused before the spendConfirmedA limit per key and per organization. The call is refused before it goes past the limit rather than invoiced after.UnconfirmedSee the vendor's own pages.source
Attach files to a conversationConfirmedDocuments 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 webConfirmedSearch 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 companyConfirmedSign in with the company account, with roles and a permission catalogue enforced by every service rather than by the interface.ConfirmedEnterprise adds single sign on and directory sync.source
Several models answer the same question at onceConfirmedFusion 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 relevanceConfirmedSources are numbered from what retrieval actually returned, and each opens the passage with its page number and its relevance score.In partThe 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 documentsConfirmedRetrieval is pointed at a knowledge base, at folders in it, or at named documents, and access is granted per base and per group.In partFile upload is offered; the detail is on xAI's pages.source
Code the model writes runs in a sandbox with its network cutConfirmedThe 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.UnconfirmedSee 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.