Cense

The company describes its approach as combining proprietary heuristics with artificial intelligence assisted workflows, and assisted is the operative word. Substantial value sits in work that is data engineering rather than modelling: importing wallet, exchange, blockchain, fiat and client submitted records into one structured case, matching transfers across them, removing duplicates, resolving overlaps and validating balances.

The attribution and counterparty intelligence underneath is inherited from years of on chain analytics built at the parent company. Strip the models and a reconciliation and evidence platform on a strong data foundation remains, which is the Perfios position.

This vendor produces evidence rather than verdicts, and the distinction is stated explicitly and repeatedly. The platform is built for relationship managers, compliance teams and financial crime specialists who need clear evidence to make defensible decisions, and the output is described as structured, reviewable and auditable analysis enabling a compliance team to reach fully justified decisions backed by evidenced insight.

That is categorically different from every other vendor in this lane, all of which deliver a risk score or an alert that a human then accepts or overrides. Here the conclusion is never drawn by the system at all: it assembles, reconciles and presents what is known so that a named person decides and can show why.

The reconciliation pipeline is itself the quality control and it is described step by step: transfers are matched across sources, duplicates removed, overlaps resolved and balances validated across disclosed wallets and exchange accounts, with pricing corrected during enrichment. Validating balances across independent sources is a genuine internal consistency check rather than an assertion, because a reconstruction that does not reconcile is visibly wrong.

Output is stated to be structured, reviewable and auditable, so an examiner can follow the working. What is absent is measurement of the harder question: no figure is published for how often ownership attribution or source of funds reconstruction is correct, which is where the real error risk sits.

One customer is named and published, a Dutch private banking and wealth management group working with the company to onboard crypto wealth at scale, discussed in a trade interview rather than a logo placement. The 6.5 million euro seed round in June 2026 was co led by the venture arm of a major banking security and infrastructure supplier and by a large Dutch bank's investment arm, which is two strategic financial sector investors rather than generalist capital.

The company was selected for its country's national startup team for 2026. Its provenance matters as evidence in itself, being the first venture spun out of an established on chain analytics business and carrying that firm's analytical foundations. What is absent is scale: no institution count, transaction volume or outcome figure is published.

No data boundary statement was located. Attribution and counterparty intelligence improve with exposure to more wallets and more resolved cases, and the platform serves private banks that compete for the same wealthy clients, so what one institution's onboarding case teaches the system has direct value to the next.

Nothing states whether client submitted wallet disclosures, resolved ownership findings or case outcomes are contained to the institution that produced them, which matters because a client's disclosure to their bank is made for one purpose only.

No data protection agreement, retention schedule, subprocessor list or deletion commitment was located, and the record assembled here is unusually complete. Reconstructing source of wealth means rebuilding how a person accumulated value over years across wallets, exchange accounts, transactions, balances, fiat flows and counterparties, producing a fuller picture of an individual's financial history than that individual is likely to hold themselves. Nothing published states how long a case file persists after onboarding concludes, what happens when a client is declined, or whether the reconstruction is retained once the assessment is complete.

No attestation, certification, trust centre or enumerated framework was located. A named private banking group has completed vendor assessment and connected client onboarding material to the platform, and two strategic investors from banking infrastructure and banking itself conducted their own diligence, so the assurance exists privately. For a company holding reconstructed client wealth histories on behalf of private banks, publishing that control set is the artifact each new institution will request first.

Regulatory requirements, regulatory clarity and regulatory confidence are invoked throughout and no instrument is named. The gap is notable given the subject matter, because the European regime for crypto asset markets and the anti money laundering rules applying to digital asset transfers are both recent, specific and directly determinative of what a bank must establish before accepting crypto derived wealth, and the company's home jurisdiction has its own published supervisory guidance. Naming those would convert a general claim into the specific one the product actually supports.

The purpose of this product is access, which inverts the usual position in this lane. Every other blockchain analytics vendor indexed here sells detection, the ability to identify risk and refuse it, and the recurring harm recorded against them is a person wrongly tainted by attribution or proximity and quietly excluded.

This company sells the opposite capability: enabling regulated institutions to serve legitimate clients with crypto wealth, on the stated reasoning that without visibility banks decline transactions, damage customer relationships and forgo business. That is de banking prevention as a product rather than an unintended consequence.

It does not eliminate the underlying risk, since attribution can still be wrong and a reconstructed source of wealth can still misread a legitimate history, and no error rate or challenge process is published.

No commercial guarantee or indemnity was located, and both parties are better placed than is usual in this lane. The institution can defend its decision, since the evidence is structured, auditable and assembled specifically so a compliance officer can justify accepting or refusing a client and show the working to an examiner.

The client benefits from the same property in the opposite direction, because a product designed to make crypto wealth bankable gives them a route to being accepted with documented evidence rather than declined without explanation, which is the outcome the rest of this category produces. What is missing is a described process for correcting a wrong attribution or a misread source of wealth once it enters a case file.

Provenance is disclosed unusually clearly. The company states it is powered by the same on chain analytics foundations its parent spent years developing, which tells a buyer exactly where the attribution capability originates rather than presenting it as proprietary from nowhere. Input categories are enumerated across on chain, off chain, exchange, open source and client submitted data, so the evidentiary basis of any conclusion is traceable to a source type. What is not disclosed is the model layer, with no provider named for the assisted workflows, and no subprocessor list or hosting arrangement located.

Input coverage is broad and specified, spanning wallet, exchange, blockchain, fiat and client submitted data drawn together into one case environment, which is the hard part given how differently each of those sources presents. On the output side the company is explicit that reports are generated to fit existing anti money laundering and financial crime workflows rather than requiring a new process, which is the design decision that determines whether a compliance function can actually adopt it. What is not published is any named system, with no case management, onboarding, core banking or screening platform identified on either side.

No hosting provider, region selection, residency commitment or private deployment option was located. Swiss domicile carries its own expectations about the handling of banking client data, and the platform holds reconstructed wealth histories for private banking clients across several European jurisdictions, so where those case files are processed and stored is a question the first compliance review will raise.

No pricing, packaging or basis of charge was located. The unit question is open in a way that matters for this product, since evidence assembly is case based work and could plausibly be charged per client assessed, per case, per institution or by subscription, and a private bank onboarding a handful of crypto wealthy clients has entirely different economics from a retail bank screening its whole book.

The stated buyer set is private banks and retail banks, with expansion across Europe funded by the seed round, and the platform is built for three distinct roles inside them: relationship managers who own the client, compliance teams who must approve, and financial economic crime specialists who investigate. Serving all three from one case environment is the right shape for a decision that requires each of them to agree.

Functional coverage spans onboarding, remediation and ongoing risk assessment. The limits are geographic and definitional: this is European, and it addresses crypto exposure specifically rather than financial crime generally.