Neurifly vs Claude

Claude is Anthropic's chat assistant, licensed per seat. Neurifly is a European AI platform for business: one account over models from several vendors, billed by usage, with an audit trail behind every call.

Anthropic licenses Claude for work per seat: a Team plan at a fixed price per person, and an Enterprise plan that adds usage at API rates on top of that seat. It is a sound choice for an organization that has standardised on a single vendor and can forecast headcount. Teams looking for a Claude alternative usually want three things it does not set out to provide: a choice of models, a cost that follows real work rather than the size of the org chart, and evidence they can hand to an auditor. Neurifly is built around exactly those. Models from several vendors, including open weight ones, sit behind one account and one invoice. Spending is drawn from a balance you top up, so a quiet month costs less. Every call is written to an append only trail with its model, tokens, latency, cost and the key that issued it, and a per key budget declines the request before the limit is crossed rather than explaining the overrun afterwards. The platform runs in the European Union on every plan, with no region to enable and no tier to reach first.

What you are comparing Neurifly Apptivity Claude Anthropic
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 Team is 20 dollars per seat a month billed annually, 25 monthly, for 2 to 150 seats. Enterprise is a 20 dollar seat plus usage at API rates. 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 Anthropic publishes its supported regions and points to its Trust Center for residency questions. 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 Anthropic's own Claude 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 The Enterprise plan lists audit logs, single sign on, provisioning and retention controls. 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 The seat price is fixed and Enterprise usage is billed at API rates. 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 Listed on the Enterprise plan. 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 Claude cites what it reads; the detail is on Anthropic'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 Files and projects are offered; the detail is on Anthropic'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 Anthropic publishes a code execution 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.