Objectway

A platform trading since 1990 with named model engines embedded in the advisory workflow rather than sold separately. Strip them and the whole business remains: front to back wealth and asset management software, client and adviser portals, portfolio management, reporting and an outsourced operations arm.

Included on the Clearwater and MyComplianceOffice precedent because the models sit inside a regulated decision, generating the suitability and appropriateness assessment that sits behind an investment proposal under European conduct rules. Worth recording for method: three research passes surfaced only conference commentary and roadmap language and pointed toward rejection, and the fourth located the named engines and an independent analyst evaluation describing embedded recommendations. The two to four search rule earned its keep on this vendor.

Sequencing is disclosed and the vendor's own framing is unusually precise about it: augmented intelligence blended with human governance, with the optimiser producing a proposal that an adviser then owns rather than an instruction that executes. Automated recommendations and next best action are described as surfacing to advisers.

That places the model upstream of the human decision, which is the disclosure shape that earned Red Oak and InvestCloud a B. Off an A because no gate, threshold, confidence measure, override rate or sampling audit is described, and a system generating suitability assessments is applying decision boundaries whether or not it names them.

No accuracy, precision or recall figure, benchmark or validation method was located for the optimiser or the recommendation engines, and none of the four properties this index accepts as evidence of model risk discipline is present. The failure mode is specific and consequential: an optimiser that produces a proposal assessed as suitable when it is not creates a conduct breach that surfaces years later through complaints or a regulator review, not at the point of generation. Nothing published describes how the suitability output is validated or how often it is overridden.

Multiple named clients across markets, including a Portuguese bank deploying a digital advisory platform with goal based planning, an Italian bank evolving its private and upper affluent service model, a Belgian securities services business and a Canadian independent wealth manager. Independent analyst evaluation adds weight, with placement as a strong performer in a 2024 digital wealth management platform assessment and a buy side platform award from a separate research house.

Off an A because no quantified outcome attaches to any named client, and nothing measures what the model engines specifically produced: no adoption figure, no proposal volume, no time or quality effect. Directory listings were not credited, on the same basis as the submission based rankings declined elsewhere in this index.

No statement was located on training data, retention, or whether the engines learn across the institutions on the platform. The outsourced operations business creates the same second boundary problem recorded against Avaloq and ACA: when the vendor runs the process as well as supplying the software, its own staff handle client records by design, and an engine operating inside that arrangement acts on data belonging to institutions that compete with one another. Neither boundary is described.

No privacy programme, retention position, data processing terms or subject rights framework was located. Scope is significant and specific: the advisory engines process a client's stated knowledge and experience, investment horizon, personal objectives and financial constraints, which is a profile of an identified individual's circumstances rather than transactional data alone. Nothing describes how long that profile is retained, whether it informs anything beyond the individual's own proposal, or what the individual can see of it.

No certification, attestation, report type, audit scope, penetration testing summary or trust centre was located for the platform or the outsourced operations business. A provider running regulated wealth operations for more than 200 institutions across Europe and North America, and hosting them in its own data centres, will hold formal credentials, and none of them are published where a buyer evaluating the platform can find them. Avaloq and Temenos, its two closest peers by shape, both publish theirs.

A software and outsourcing provider holding no financial licence of its own, with no supervisory programme, sandbox admission or regulator run assessment of the model engines located. Its clients carry the authorisations and the conduct obligations. The platform is explicitly built to European conduct requirements including suitability, appropriateness and disclosure rules, which is product design rather than a credential held by the vendor.

A notable C rather than an empty one. An independent analyst evaluation records that the strategy includes using explainable artificial intelligence to confirm that embedded capabilities are free of bias, which makes this one of the few vendors in this index where freedom from bias is named as a design objective at all, and it is carried by a third party rather than only by marketing.

It stays at C because nothing describes how that confirmation is performed, against what data, on what schedule, or with what result, and no framework, model documentation or independent assessment of an artificial intelligence management system was located. Stating the objective is not evidence of meeting it.

Nothing published describes liability, indemnity or recourse when a generated proposal turns out to be unsuitable. The outsourced operations model sharpens the question in the same way it does for Avaloq, because when the vendor both supplies the engine and runs the process, the boundary between product defect and service failure is exactly what has to be settled contractually and none of it is public. The investor who acted on the proposal has no described route to learn that a model produced it.

The engines are named as products and nothing is disclosed about what runs inside them: no base model, provider, version, hosting arrangement or statement of whether third party foundation models are involved. Naming a product is not naming a supply chain. An institution applying third party and model risk oversight to a system generating regulated suitability assessments cannot identify what produced a given proposal or record the model version behind it.

A single front to back platform on a component based architecture with open interfaces, explicitly designed to integrate with third party systems and to sit inside a client's existing technology estate, and evidenced across more than 200 institutions in more than 15 countries.

Delivery spans licensed software, software as a service and fully outsourced operations, including migration of historical performance data and unified data management, which is integration work rather than a connector list. The pending capital markets acquisition would extend reach into securities processing, trading, clearing, settlement and risk.

More than the category norm and short of a complete answer. Delivery is available as software as a service or as fully outsourced business process operations, the platform has been certified on a major public cloud, and the vendor operates its own private cloud data centres with at least one identified by country, which is a concrete hosting location rather than a general assurance. Off an A because no residency region list or commitment is published, no tenancy model is described, no subprocessor list was located, and nothing states where the model engines execute.

No pricing, band or rate is published for the platform, the outsourced operations service or the model engines. Consolidated revenue above 100 million euros is disclosed at group level, which tells a buyer something about scale and viability and nothing about cost. Two delivery models sit side by side, licensed platform and outsourced operations, with no public indication of how either is priced or how the model engines are charged within them.

More than 200 client institutions across more than 15 countries and four continents, supporting roughly 100,000 investment professionals and more than one trillion pounds in assets, with segments named individually: wealth managers, private banks, retail and mid market banks, asset managers, fund managers, insurers and outsourcing providers. Operations run from six European countries with delivery into North America. Breadth is anchored to counted institutions, counted professionals and an asset figure rather than asserted, and the pending capital markets acquisition would add asset servicers and broker dealers.