Neurifly vs OpenClaw
OpenClaw is an MIT licensed agent runtime you host yourself, connected to your own machine and your own model keys. Neurifly is the governed, hosted equivalent for an organization, with approvals, evidence and one invoice.
OpenClaw is free software under the MIT licence. It runs on hardware you control, connects messaging channels to an agent and performs real actions on the machine hosting it, which makes it a compelling choice for an engineer who wants full control and no vendor invoice. Adopting it across a company raises a different set of questions: who is permitted to run which action, what happens before something irreversible, how a record is kept that cannot be edited afterwards, how generated code is contained, how model access is purchased without distributing provider keys to every team, and how spending stays within a limit. Neurifly answers those as product features rather than as operational discipline: role based access with a permission catalogue, an approval gate, a hash chained append only trail, an isolated sandbox, models bought once for the organization, per key budgets that refuse rather than overspend, and hosting in the European Union.
| What you are comparing | Neurifly Apptivity | OpenClaw OpenClaw |
|---|---|---|
| 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. | In part MIT licensed and self hosted, so the software costs nothing and you pay your own model provider. source |
| Runs in the European Union without changing plan | Confirmed European Union by default, on every plan. There is no region to switch on. | Confirmed It runs on hardware you choose, so the location is yours. 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. | In part You bring your own model keys and pay each provider yourself. 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. | Unconfirmed See the vendor's own pages. 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. | Unconfirmed See the vendor's own pages. 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. | Unconfirmed See the vendor's own pages. 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. | Unconfirmed See the vendor's own pages. 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. | Unconfirmed See the vendor's own 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. | Unconfirmed See the vendor's own 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.