Comparison
for your ENISA loan
Gemini 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 Gemini | 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| Current requirements and lines | Whatever was in the training data; may be out of date | A versioned registry, with the date a human verified each rule |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.
Gemini is multimodal and integrates well with spreadsheets and documents, which gives it an edge when reading a table or a scanned deed. That is a real and useful capability. What it does not bring is the ENISA context: which sections exist, what limits they have, which requirements are current today, and which checks have to pass before you submit.
Reading the sheet is step one. Step two is that the totals reconcile, that projections continue where the accounts end, and that the result can be written into the normalised template ENISA requires. That last part is a specific format, not just any table.
We use several AI providers and pick the most suitable one per task. No product feature depends on a single vendor.
Good. enisa.ai does not replace your accountant: it removes the mechanical part and leaves them the judgement. You can invite them to your account to review and comment.
It can describe them broadly, with the risk of quoting a previous programme. We keep the rules versioned and show, in every report, the date they were verified.
The analysis tells you whether you are a candidate, which line fits and what to strengthen — before you invest weeks in the application.