Quido opens access to the platform

Quido is opening access. Until today the platform was available by invitation; from now on it can be requested by teams working on private equity, investment banking, advisory and M&A deals, across Italy and Europe.

Quido is used daily by dozens of private capital operators and hundreds of professionals. Clients report cutting up to 50% of the time spent on low-value work.

What changes today

Until today, getting into Quido required an invitation. That was a choice tied to the stage: a limited number of organisations, closely supported, makes it possible to learn where the product holds and where it does not before a mistake multiplies.

From today that threshold is gone. A team wanting to evaluate the platform can request access directly, without going through an introduction.

Nothing changes for existing clients, and the perimeter of what the platform does is unchanged: what changes is how you get to it.

The work that fills the private capital day

Excel. PDFs. CRMs. Copy and paste, repeated for hours. None of those tools is wrong in itself: the problem is the relay between them, and the fact that a person hands over the baton by hand.

In 2026 this is still the daily workflow across much of private capital, and it is worth looking at closely rather than dismissing it as an inconvenience.

A professional assessing a company starts from a list of names. For each one they retrieve the filed accounts, open them as PDFs, retype the line items into a spreadsheet, map them onto a scheme that allows comparison, reconstruct who controls the company by unpicking ownership chains one level at a time, look for the relevant news, and finally put it all back into a document somebody else will read.

Each individual step takes minutes. Added together, they occupy the longest part of the day. And each of them is a point at which a number can change by accident, without anyone noticing until it is too late.

The problem is not that this work is hard. The problem is that it contains no judgement: none of the activities listed requires deciding anything. Judgement comes afterwards — working out whether the margin holds, whether the comparison with peers stands up, whether the corporate structure hides a complication, whether it is worth proceeding. And that is the part those people were hired for.

Where Quido comes from

Quido comes out of years spent in investment roles, and too many late nights on inefficient tools.

That origin shows in the product, and it is worth saying because it explains choices that would otherwise look arbitrary. Anyone who has lived that work from the inside knows the problem is not a lack of data: the data exists, it is public and largely free. What is missing is its shape — the ability to set it alongside that of another two hundred companies without rebuilding it by hand every time.

They also know that a tool producing excellent analysis which then has to be retyped into the firm's template solves nothing: it moves the work rather than removing it.

Who uses Quido today

The platform is used daily by dozens of private capital operators and hundreds of professionals.

Clients report cutting up to 50% of the time spent on low-value work. That is the figure reported by the people using it, referring to those activities — not a measure of total working time, and not a promise of outcome: how much is recovered depends on how much of the day those activities took up before.

What the platform does

• Multi-criteria search across millions of Italian companies by sector, size, geography and financial signals, with filters and results ranked by relevance.
• Company profile with reclassified accounts, KPIs, peer comparison, news and corporate structure, generated automatically and kept up to date.
• AI agent reasoning over the platform's data: ask for a sector analysis, a target shortlist or a summary memo, and the answer comes back structured and sourced.
• Shared deal flow: the team's transactions on a single board, with custom stages, filters, ownership and follow-ups.
• Automated reports — one-pagers, reclassified accounts and memos — generated in the firm's format and ready to share, with no manual formatting.
• Up-to-date financial data: accounts, news and market signals.

Where it helps, phase by phase

A transaction's life cycle runs through phases with different problems, and it is worth seeing where a tool like this actually weighs.

In origination the problem is coverage. Building a target list on a defined perimeter — a sector, a revenue band, a geography, a margin profile — means querying several sources and reconciling them by hand. A badly built list does not produce a visible error: it produces an absence. Companies that were never found appear nowhere.

In screening the problem is volume. Every name has to be looked at just enough to decide whether it deserves a closer look. This is the point at which a long list is implicitly shortened — not because the names at the bottom are worse, but because the time runs out.

In due diligence the problem is depth: reclassified accounts across several financial years, peer comparison, corporate structure, transaction history, relevant news. The material exists; the cost is gathering and verifying it.

In monitoring the problem is continuity. Holdings have to be followed after closing, accounts are updated, structures change. It is the first activity sacrificed when the pipeline gets crowded, because nothing external imposes a deadline on it.

Data sources, and why traceability comes first

Quido integrates Italian public sources — the Chamber of Commerce and filed accounts — with proprietary data kept up to date in real time. Every item remains traceable to its source.

For a finance professional this is not a compliance detail. It is the condition under which work produced by the platform can enter a document that will be discussed in an investment committee: a number nobody can trace back to a source is a number that cannot be used there — and that therefore forces somebody to redo the same check by hand.

There is a second, less obvious consequence. When provenance is explicit, disagreement moves from the figure to its interpretation. Two professionals looking at the same reclassified accounts can argue about the merits without first establishing which version of the number is the right one.

Security and data handling

The infrastructure is European. Data is encrypted both at rest and in transit, and processing is GDPR compliant. Client data is not used to train models.

It is the first subject questions arrive on from people working on confidential transactions, and the answer deserves to be firm rather than a setting to be maintained.

A fixed price, without credits

The model is a fixed annual fee: unlimited users across the firm, unlimited searches, analyses and reports. Onboarding, training and support are included. The price is set on the size of the team.

The choice answers a side effect of the credit-based model common in the sector: when every search carries a visible marginal cost, teams stop searching. An analyst who knows each additional look consumes a credit takes fewer of them, and the platform ends up used below its capacity precisely in the phases — origination and screening — where it would help most.

Per-seat licensing produces the same effect along a different dimension: it discourages extending the tool to people who would use it occasionally, which is exactly the group that benefits from occasional access to data already held in house.

A fixed fee removes the mental arithmetic. It costs something in predictability of revenue per client and returns depth of usage.

What happens when a team comes on board

Opening access changes how you reach the platform, not how you start using it.

A team is typically productive in under a week. Setup, training and support are included in the fee, and they are not an internal project to be launched: the data Quido works on is already in the platform, so there is no information estate to bring, clean and load before seeing anything useful.

The other half of the same question is internal spread. With unlimited users, extending access to a colleague is not an economic decision: there is no licence to buy, so there is nobody to persuade.

Quido also connects to CRMs, deal flow systems and the Office suite, exports to PDF, Word and Excel, and offers a REST API for custom integrations. No adoption goes through abandoning the tools a firm's habits are built around, the spreadsheet included.

Why "reliable" is the word that matters

For an analytical tool, the word that decides adoption is not "fast": it is reliable. The distinction deserves a few lines, because it is counter-intuitive.

An obvious error is cheap. If a figure is missing, or plainly absurd, whoever looks at it notices and corrects it: the cost is a few minutes. What really costs is the plausible error: a line item mapped onto the common scheme reasonably but incorrectly for that type of company, a formal sector classification that does not match the real activity, an ownership chain reconstructed well in most cases and badly in a less common corporate configuration.

None of these errors trips an alarm. They produce an analysis that looks right, and they are discovered — when they are discovered — by a professional who knows that company and notices something is off. That is the worst possible moment, because the damage is not the wrong number: it is that from then on every other number has to be rechecked by hand, and the tool stops saving time.

Two practical consequences follow for how the platform is built. The first is that data quality is not a check at the end but a constraint that precedes the analysis. The second is that traceability does not only serve the client: it is also the mechanism by which a suspect figure is traced back to its origin instead of being corrected by hand in one place only.

What changes in the day of the person using it

The most direct way to see the effect is to walk through a working session.

The starting point is a perimeter: a sector, a revenue band, a geography, a margin profile. Multi-criteria search returns the companies matching those criteria, ranked by relevance. That is the list which, without tools, would have taken hours of reconciliation across different sources.

Screening begins on that list. Each name needs quick answers to three questions: how large it is, how it has moved over recent financial years, who controls it. The company profile already holds them, with reclassified accounts, KPIs, peer comparison, corporate structure and news.

The names that clear the filter have to be shared with the team. This is usually the moment somebody opens a spreadsheet and starts retyping. The shared deal flow instead keeps the transactions on a single board, and reports come out already in the firm's format.

What remains with the analyst is the part they were hired for: reading the numbers, judging whether the story holds, deciding what to take forward. And that is exactly the part left untouched.

Why open access now

Invite-only access is a choice with an implicit expiry: it serves while the product needs close observation across a few organisations, and it stops serving the moment the constraint is no longer the maturity of the tool but the number of people who can try it.

That moment arrives when the questions change in nature. Early in a platform's life the questions are "does this work?" and "is the data right?". When dozens of operators use it every day, the questions become "can you cover this perimeter too?" and "can we extend it to the rest of the firm?". Those questions indicate that the product has stopped being under evaluation and has entered the work.

There is a simpler reason too. Invite-only access, by definition, reaches whoever is already in the network of the people distributing it. That is a useful filter at the start and a distorting one afterwards: it excludes teams with the same problem, only because nobody introduced them. Opening access removes a criterion that has nothing to do with the work.

Opening to Europe

Access opens to teams working in Italy and across Europe, and it is worth being precise about what that means in practice.

The part of the product concerned with workflow — search, the company profile, shared deal flow, generating reports in the firm's format — is country-independent: the craft of assessing a transaction has the same shape everywhere.

The part concerned with the data is specific, because it depends on how each country produces and publishes information about its companies. That is why depth of coverage is a question to ask about your own real perimeter rather than in general: the most useful way to test it is to start from a list of companies already known internally and check how many the platform finds, and in what depth.

It is also the check we suggest running first, before looking at features at all.

What Quido does not do

The perimeter is worth stating, because with an AI-based analytical tool the wrong expectation forms easily.

It does not produce investment recommendations. The platform absorbs collection and normalisation and leaves interpretation untouched. Repetitive work gets automated; judgement does not.

It does not replace the diligence process. It produces the material the diligence is done on, in the form it is needed, with the provenance of every figure still legible.

It does not ask you to change tools. It sits alongside the existing ones rather than replacing them.

It does not use client material to train models. That is a property of the service, not a setting.

Who it is for

People working on private equity, investment banking, advisory and M&A deals: funds, banks, consulting firms and advisers.

The typical profile is not somebody looking for one more tool, but somebody who has already tried to solve the problem with the tools they have — a well-built spreadsheet, a tidy shared folder, an adapted CRM — and found that the limit was not organisation, but the cost of reassembling the data from scratch every time.

It is a distinction worth making before an evaluation, because it predicts the outcome. A team hoping a new tool will impose order on a disorganised process will be disappointed: order is not what is missing. A team that is already organised, and is paying for that order in hours, is the one that sees the difference within days.

How to request access

Access is requested from the site. After the request, the team is contacted to understand their working perimeter and the size of the firm, which is when the fee is agreed.

Anyone who would rather see the platform working first can ask for a demo: it is the quickest way to judge whether coverage on your own perimeter — the sector, the size band, the geography you actually work in — is what you need.

Frequently asked questions

What is Quido?

A platform that automates financial analysis for private equity, investment banking and advisory: company research, analysis, reporting and up-to-date data in one place, with every item traceable to its source.

What changes with access opening?

Until today the platform was available by invitation. From now on a team can request access directly from the site, without an introduction.

Who uses it today?

Dozens of private capital operators and hundreds of professionals, every day.

How much time is recovered?

Clients report cutting up to 50% of the time spent on low-value work. That figure is reported by the people using it and refers to those activities: how much is recovered depends on how much they weighed before.

Where does the data come from?

From Italian public sources — the Chamber of Commerce and filed accounts — and from proprietary data kept up to date in real time, with every item traceable to its source.

Is client data used to train models?

No. The infrastructure is European, data is encrypted at rest and in transit, processing is GDPR compliant, and client data does not feed model training.

How does pricing work?

A fixed annual fee: unlimited users across the firm, unlimited searches, analyses and reports, with onboarding, training and support included. The price is set on the size of the team.

How long does it take to get started?

A team is typically productive in under a week.

Does it integrate with the tools already in use?

Yes: CRMs, deal flow systems and the Office suite, with export to PDF, Word and Excel and a REST API for custom integrations.

Is it available only in Italy?

Access opens to teams working in Italy and across Europe. Depth of data coverage should be checked against your own working perimeter: it is the first thing to look at in an evaluation.

Does adopting it require an internal project?

No. The data the platform works on is already inside, so there is no information estate to bring, clean and load before getting something useful.

Does anything change for existing clients?

No. The opening concerns how you reach the platform, not the terms for people already using it.

In summary

Quido is opening access to the platform: invite-only until today, it can now be requested by private equity, investment banking, advisory and M&A teams across Italy and Europe.

The platform is used daily by dozens of private capital operators and hundreds of professionals, and clients report cutting up to 50% of the time spent on low-value work.

Anyone wanting to evaluate it can request access from the site. Questions on sources, security, pricing and integrations are answered on the FAQ page; the people building the platform are on the About page.