Customer & Banking Agents
C

Crealogix

Crealogix is a Zurich digital banking and wealth engagement software company founded in 1996, serving more than 600 customers across 15 countries in retail, private, corporate and small business banking as well as wealth management. Its Digital Hub is a modular cloud platform that sits on the interaction layer above a bank's existing systems, letting institutions modernise client and adviser experience without replacing the core, with open interfaces, open banking support and the ability to add partner components.

Its three named solutions are Crealogix Conversational AI, which combines models and automation with personalised customer communications and runs as a service with encrypted messaging and a full audit trail, a digital funding portal, and a lending origination hub. The company listed on the SIX Swiss Exchange in 2000 and was acquired in February 2024 by Vencora, the financial services software group within Constellation Software, in an all cash tender offer at 60 Swiss francs per share, after which it was delisted and continued to operate independently under chief executive Oliver Weber. It holds ISO 27001 certification alongside SOC 1 and SOC 2 reporting, and formed a partnership with the core banking provider Tuum in 2024. Named clients include LGT Vestra.

Last VerifiedAugust 19, 2026
Compare Crealogix with other vendors
Founded
1996
Headquarters
Zurich, Switzerland
Website
crealogix.com
Categories
customer-banking-agents, wealth-and-advisory, credit-decisioning
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 4 graded A or B

AI Capability
AI Centrality
CC on AI CentralityArtificial intelligence is present but peripheral: a feature layer on a product whose value stands without it.
Vendor Published

A digital engagement platform trading since 1996 with one named model product among three named solutions, the other two being a funding portal and a lending origination hub. Strip the models and the entire business remains: the modular hub, the mobile applications, the open banking interfaces and the two lending products.

Included on the Clearwater precedent because the conversational product operates inside a regulated servicing channel, handling customer communications with encrypted messaging and a retained audit trail rather than sitting outside the bank's record. The disclosure is thin: what the product actually does with models, beyond combining artificial intelligence with automation for personalised communication, is not described anywhere located.

Autonomy and Oversight Model
CC on Autonomy and Oversight ModelAutonomy is claimed and oversight is asserted without a mechanism, or full automation is presented as the entire disclosure. Human in the loop appears as a phrase rather than a described control.
Vendor Published

No gate, threshold, confidence measure, escalation path, handover rule or sampling audit is described. The product is characterised by combining models with automation for real time customer interaction, which is a statement of what it does rather than of how it is controlled. For a conversational system speaking directly to bank customers, the central oversight question is when it stops and passes to a person, and nothing located answers it.

Model Risk Management and Transparency
CC on Model Risk Management and TransparencyTransparency is claimed in general terms with no mechanism a model validator could interrogate.
Vendor Published

No accuracy, precision or recall figure, benchmark or validation method was located, and none of the four properties this index accepts as evidence of model risk discipline is present. Nothing describes intent recognition accuracy, misrouting rates or how often the system answers a customer question wrongly.

The audit trail records what was said, which supports reconstructing an individual exchange and says nothing about how often exchanges go wrong across a corpus, the same per item explicability recorded against PerformLine.

Operational and Outcome Evidence
BB on Operational and Outcome EvidenceVendor aggregate claims with real figures, or audited scale disclosures from a publicly listed company.
Third Party Estimated

A named client, a United Kingdom wealth manager that selected the platform to build its client portal and mobile experience for high net worth clients, plus the counted institution base restated by an acquirer paying a disclosed price. Off an A because no quantified outcome attaches to any named client and nothing measures what the model product achieved: no deployment count for the conversational solution, no containment or resolution rate, no effect on servicing cost. Industry awards were not credited, on the same basis as the submission based recognitions declined elsewhere in this index.

AI Safety and Data Stewardship
CC on AI Safety and Data StewardshipGeneral assurances that do not answer the question this axis asks, which is whether one customer’s data trains models serving its competitors. Unbounded cross client learning stated with no boundary grades here too.
Vendor Published

No statement was located on training data, retention of conversation content, or whether models learn across the institutions on the platform. The gap is specific for this product type: a conversational service handling customer communications for more than 600 institutions accumulates the actual language customers use about their money, which is exactly the corpus that would improve a shared model and exactly the corpus a bank would want ringfenced. The audit trail is presented as a compliance feature and nothing describes who else may read what it retains.

Regulatory and Compliance
GLBA and Data Privacy Posture
CC on GLBA and Data Privacy PostureA standard privacy policy that covers the website rather than the service, or silence on a product that touches limited consumer data.
Vendor Published

A published data protection policy exists and cites the legal bases it relies on under European data protection law, names its use of processors and joint controller arrangements, and points to its security certifications. That is more than most of this pocket publishes and it concerns the company's own corporate and website processing rather than the product. Nothing describes what customer conversation content the platform retains on behalf of a bank, for how long, or what the bank's own customers can see or request.

Security Certifications and Trust Center
BB on Security Certifications and Trust CenterA recognised certification named in the vendor’s own material without the artefact, or with a scope or renewal question the buyer has to raise.
Vendor Published

Named frameworks with the correct nouns and an independently verifiable entry: the company states certification under ISO 27001 alongside SOC 1 and SOC 2 reporting, and a group entity appears in a certification body register under the 2022 revision of the information security standard with a dated certificate and a stated scope covering cloud services, managed services, network and security and data centre operations.

Off an A because the register entry covers one group entity rather than the platform as a whole, the SOC reports are referenced rather than shown to be available to prospects, and no trust centre, penetration testing summary or subprocessor disclosure was located.

Regulatory Status and Licensure
CC on Regulatory Status and LicensureThe regulatory position is unstated. Most vendors in this index are technology suppliers and being unlicensed is the correct posture, so this grade records silence about the posture, not a missing licence.
Vendor Published

A software vendor holding no financial licence of its own, with no supervisory programme, sandbox admission or regulator run assessment of the model product located. Its clients carry the authorisations. Open banking interface support means the platform operates inside regimes its customers are regulated under, which is product scope rather than a credential held by the vendor.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

No framework, bias testing, fairness evaluation, model documentation or independent assessment of an artificial intelligence management system was located. A conversational system serving retail, private, corporate and small business customers across 15 countries handles many languages and registers, and comprehension quality varies systematically across them. That is the fairness question for this product shape and nothing published addresses it.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

Nothing published describes liability, indemnity or recourse when the conversational product tells a bank customer something wrong. The exposure is direct rather than mediated by an adviser: this system speaks to the end customer, so an incorrect answer about a balance, a payment or a product term reaches the person immediately with no professional between them and the model. Nothing describes whether the customer is told they are speaking to a machine, or how a disputed exchange is escalated.

Integration and Deployment
Model Supply Chain Disclosure
CC on Model Supply Chain DisclosureThe architecture is described and no provider is named.
Vendor Published

No base model, provider, version or hosting arrangement is named for the conversational product, and no statement was located on whether third party foundation models sit underneath. The product name announces that models are involved and the public material stops there. An institution recording which system produced a customer facing answer, which is basic practice for a regulated servicing channel, cannot do so from anything published.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

Genuine integration positioning with a large deployed base: a modular platform designed to sit on the interaction layer above whatever core a bank already runs, unifying internal and third party systems through open interfaces, with open banking support and the ability to add partner components alongside the vendor's own, plus a stated alliance with a core banking provider.

Held at B rather than A because the specific systems coordinated are described generically rather than enumerated, and the depth of connectivity into custody, payments and risk is not evidenced the way it is for the front to back and engagement platforms graded A in this pocket.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

Described as a modular cloud platform delivered as a service, with no region choice, hosting location, tenancy model, on premises path, residency commitment or subprocessor list located. One certified group entity has a scope covering data centre infrastructure and operations, which indicates the company runs hosting itself without disclosing where. For a vendor serving Swiss and Middle Eastern banks under localisation expectations, that is a material silence.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

No pricing, band or rate is published for the platform or any of the three named solutions. Modular packaging is disclosed in structure, so a buyer can see the units of purchase, and nothing indicates what any unit costs or how the conversational product is licensed relative to the hub it runs on.

Institution and Segment Coverage
AA on Institution and Segment CoverageThe financial segments served are named and each carries its own maintained material, whether the coverage is broad or deliberately narrow.
Third Party Estimated

More than 600 customer institutions across 15 countries, a figure restated by the acquirer in transaction materials rather than appearing only in vendor marketing. Segments are named individually and span retail banking, private banking, corporate banking, small and medium business banking, wealth and investment management and the public sector, across Europe, the Middle East and Asia Pacific. Breadth is anchored to counted institutions and counted countries, which is the discriminator that separated PerformLine from Saifr.

Alternatives to Crealogix

The closest documented capability profiles to Crealogix in the same categories, ordered by similarity across the same fifteen axes the index grades every vendor on. Closest documented profile, not a claim that either product does the same job. No vendor pays for placement.

Documents Autonomy and Oversight Model where Crealogix does not

Stronger documented coverage on Operational and Outcome Evidence

Documents AI Centrality and GLBA and Data Privacy Posture where Crealogix does not

Documents AI Centrality where Crealogix does not

Documents AI Centrality and Autonomy and Oversight Model where Crealogix does not

Documents AI Centrality and Model Supply Chain Disclosure where Crealogix does not

Similarity is computed axis by axis from published grades, not from a composite score. The index does not aggregate grades into a total. See the fifteen axes and the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 489 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
September 5, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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