Wealth & Advisory AI
O

Objectway

Objectway is a Milan headquartered wealth, banking and asset management software provider founded in 1990 by Luigi Marciano, serving more than 200 wealth managers, banks, asset managers, fund managers, insurers and outsourcers across more than 15 countries. It reports over 800 professionals working from Italy, the United Kingdom, Belgium, Germany, Switzerland and Ireland, support for roughly 100,000 investment professionals managing more than one trillion pounds in assets, and consolidated revenue above 100 million euros.

The Objectway Platform runs front to back office in one component based architecture with open interfaces, delivered as software as a service or as fully outsourced business process operations, including from its own private cloud data centers. Its model layer is embedded in the advisory process rather than sold as a separate product, with named engines including an intelligent optimizer that generates a suitable and appropriate investment proposal in one step against a client's knowledge, experience, horizon, objectives and constraints, alongside automated recommendations and next best action across the offering.

The private equity firm Cinven has invested in the company, and in July 2026 Objectway entered exclusive negotiations to acquire the French capital markets software specialist SLIB from BNP Paribas and Natixis, with completion expected by the end of 2026. Named clients include novobanco, Credem, KBC Securities Services and Kinsted Wealth.

Last VerifiedAugust 19, 2026
Compare Objectway with other vendors
Founded
1990
Headquarters
Milan, Italy
Website
objectway.com
Categories
wealth-and-advisory, capital-markets-ai, customer-banking-agents
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 5 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

Named model engines sit inside the advisory workflow, generating the suitability and appropriateness assessment behind an investment proposal under European conduct rules. Remove them and the front to back wealth platform trading since 1990, with portals, portfolio management and outsourced operations, carries on.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

Augmented intelligence blended with human governance is the stated design, and the optimizer produces a proposal the adviser owns rather than an instruction that executes. No gate, override rate or confidence measure is described for a system that applies suitability boundaries implicitly.

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

A proposal rated suitable when it is not becomes a conduct breach that surfaces years later through complaints or review, not when generated. No accuracy figure, validation method or override rate is published for the optimizer or recommendation engines.

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 Portuguese bank's digital advisory rollout, an Italian bank's private banking service and a Canadian independent wealth manager are named, and a 2024 analyst assessment rates the platform a strong performer. No adoption figure, proposal volume or quality effect is attributed to the engines at any named client.

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

Running outsourced operations means vendor staff handle client records of institutions that compete, and engines inside that arrangement act on all of them. Neither the boundary between institutions nor the one between software and operations staff is described.

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

The engines read a client's knowledge and experience, horizon, objectives and financial constraints, a profile of an identified person rather than transaction data. How long that profile is kept, whether it informs anything beyond that client's proposal and what the client can see are all undescribed.

Security Certifications and Trust Center
CC on Security Certifications and Trust CenterA single footer line, or certifications asserted without being enumerated, which is weaker than naming them because it invites an assumption a buyer cannot check.
Vendor Published

For a provider hosting regulated wealth operations in its own data centers, no certification, audit report or trust center is public. Any credential the business holds surfaces only on request.

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 license.
Vendor Published

The platform is built to European suitability, appropriateness and disclosure rules, which is product design rather than a credential. Clients carry the authorizations and conduct duties, and no supervisory program or regulator run test of the engines is claimed.

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.
Third Party Estimated

An independent analyst records that the strategy uses explainable AI to confirm embedded capabilities are free of bias, naming that objective outright. How the confirmation is performed, on what data and with what result is unpublished, and stating an objective is not evidence of meeting 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

When the vendor supplies the engine and also runs the process, the line between product defect and service failure needs contractual settling, and none is public. The investor who acted on an unsuitable proposal has no described way to learn a model produced it.

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

Named as products, the engines disclose nothing about what runs inside them or whether third party foundation models are involved. Naming a product is not naming a supply chain, and an institution cannot record the model version behind a regulated suitability assessment.

Core Systems and Integration Depth
AA on Core Systems and Integration DepthNamed integrations with the systems of record, core banking, policy administration, custodial or contact center platforms, verifiable in marketplace listings or public API documentation.
Vendor Published

One front to back platform on a component architecture with open interfaces is built to sit inside a client's existing estate, and delivery includes migration of historical performance data. A pending capital markets acquisition would extend it into securities processing, clearing and settlement.

Deployment Model and Data Residency
BB on Deployment Model and Data ResidencyStated residency commitments or regional hosting options.
Vendor Published

Software as a service and fully outsourced operations are both offered, the platform is certified on a major public cloud, and the vendor runs private data centers, one identified by country. No residency list, tenancy model or statement of where the engines run is published.

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

Platform, outsourced operations and engines carry no published price. Group revenue above 100 million euros speaks to viability rather than cost, and how engines are charged within licensed or outsourced delivery is unstated.

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.
Vendor Published

More than 200 institutions in over 15 countries, about 100,000 investment professionals and more than one trillion pounds of assets are counted. Named segments run from wealth managers and private banks to asset managers, insurers and outsourcing providers, served from six European countries into North America.

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The index publishes no overall score or ranking. See what we assess 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 610 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
October 20, 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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