Comparison
for your ENISA loan
Claude is an excellent, highly capable assistant. What it is not — and does not try to be — is a product built around one specific programme, with the current requirements, your documents, and a person reviewing before anything is submitted.
An ENISA application is not won by writing well. It is won by showing consistency between what you claim, what your accounts say and what this year's programme requires. That is a product, not a conversation.
| With Claude | With enisa.ai | |
|---|---|---|
| ENISA's real form | An approximate reconstruction, from memory | The 7 portal sections and their 5,000-character limits |
| Current requirements and lines | Whatever was in the training data; may be out of date | A versioned registry, with the date a human verified each rule |
| Your documents | Pasted or uploaded again in every conversation | A permanent per-company knowledge base, reused across applications |
| Financial consistency | Does not check the totals; writes what you ask for | Deterministic checks across balance sheet, projections and investment plan |
| Traceability | Depends on what you pasted into the chat | Every claim cited against the document and page it came from |
| Red flags | Only if you ask about them | Explicit rules, a verdict and a success estimate, always |
| Financial statements | Loose text and tables | ENISA's normalised template, importable and exportable |
| Human review | Not included | Included in the full application, before publication |
| Price | Monthly subscription | €3 analysis · €100 application · 3% success fee |
Every generated sentence comes from a document you uploaded or from an assumption flagged as one. If a figure is missing we ask for it; we do not infer it. No model, however good, can know your equity figure unless you give it — the difference is what the system does when it does not have it.
ENISA's requirements change: amounts, lines, conditions. We keep a versioned rule registry with its source, its literal quote and its verification date, and every report states which version answered it. A general assistant answers with what it learned when it was trained.
Incorporation deed, accounts, bank statements, deck, voice notes: uploaded once and kept in your company's knowledge base. The second application costs a fraction of the first. In a chat, every conversation starts from zero.
That assets equal equity plus liabilities, that projections start where the last financial year ended, that the investment plan totals the same as the financing sources, and that own funds reach the amount requested. That is arithmetic, and code does it — not a model.
In the full application, a reviewer checks the documentary support, the totals, the length limits and the tone before anything leaves. After that we support you through to the loan decision.
Claude is strong at reading long documents and writing with nuance, and with a large context window you can paste in whole sets of accounts. That is a very good starting point. What is still missing is everything around it: the real form, verified current rules, checked arithmetic, and your company's history from one application to the next.
Reading well is necessary and not sufficient. A model can summarise your accounts accurately and still not warn you that your own funds fall short of the amount you are requesting, because that is not reading: it is a programme rule applied to a specific number.
We use several providers and route each task to the most suitable one, with no feature depending on a single vendor. That independence is deliberate.
Of course, and many people do. Use Claude to think and explore; use enisa.ai so that what you submit is consistent with the programme and with your accounts.
Your documents are yours, they are not used to train models, and only you and your team can see them. We explain this in detail in our AI FAQs.
The analysis tells you whether you are a candidate, which line fits and what to strengthen — before you invest weeks in the application.