Wealth & Advisory AI
A

additiv

additiv supplies an orchestration layer that sits above a financial institution's existing core systems, letting banks, insurers, asset managers and pension providers launch and scale wealth, insurance, credit and banking propositions without replacing what they already run. Data and process steps are unified into a single layer, and an open sourcing network lets an institution procure regulated third party services such as brokerage, custody, trading and fund products and distribute them under its own brand. A named artificial intelligence studio coordinates specialised agents for automation across any core system.

Deployments are stated at three to six months against a twelve month industry norm. Named deployments include PostFinance, which attracted more than two billion Swiss francs in new assets, Deka, which added more than 1.3 billion euros in fifteen months through the Sparkasse network, HAYAH Insurance in the United Arab Emirates, PensExpert and NS Partners. Temenos completed its acquisition of additiv on 17 July 2026, positioning the platform as the foundation for orchestration across complex customer journeys and extending reach into the mass affluent segment.

Last VerifiedAugust 19, 2026
Compare additiv with other vendors
Founded
1998
Headquarters
Zurich, Switzerland
Website
additiv.com
Categories
wealth-and-advisory, insurance-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

The removal test leaves a mature and successful business standing. This is a 28 year old orchestration platform whose value is unifying data and process across an institution's existing core systems and pre integrating a network of regulated service providers, and the asset gathering results it points to were achieved by that platform rather than by any model.

What lifts it clear of the floor is a named artificial intelligence product rather than a vague analytics layer: an AI studio described as a domain specific orchestration layer coordinating specialised agents for automation on any core, alongside published thinking on designing trustworthy artificial intelligence architectures. That distinction matters, because AAZZUR was rejected on this axis precisely for having no named AI product of its own. Same architecture, different position on models.

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

One genuine design choice runs through the deployments: propositions are built to work in both self service and adviser led modes, as in the Swiss bank case where the same wealth service supports a customer acting alone or working with an adviser, so the institution decides how much human involvement its proposition carries. That is control at design time. What is absent is anything at decision time.

Straight through processing is presented as an achievement, the agent studio is described as delivering intelligent automation, and nothing defines what those agents may conclude on their own, what triggers escalation, or where a person must remain in a suitability or allocation decision.

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

The company engages the subject publicly, with executives writing on designing trustworthy artificial intelligence architectures and addressing messy data, fragmented systems and the practical difficulty of moving models from pilot into production, which is a more candid framing than most vendors offer and identifies the right obstacles. It remains commentary rather than evidence.

No accuracy, validation result, error analysis or model documentation is published for the agent studio or for any automated component, and nothing describes how a model driven recommendation inside a regulated wealth proposition is tested before it reaches a customer.

Operational and Outcome Evidence
AA on Operational and Outcome EvidenceNamed customers with hard performance figures and enough method to test them.
Vendor Published

Named tier one European institutions with quantified asset outcomes, which is rare anywhere in this index. A leading Swiss retail and corporate bank launched digital wealth management on the platform in both self service and adviser led form and attracted more than two billion Swiss francs in new assets.

A major German asset manager built what is described as the country's most successful automated investment service, distributed through the savings bank network with straight through processing, adding more than 1.3 billion euros in fifteen months.

A large insurer launched bancassurance on it, a French banking group's Swiss arm launched a mobile pension platform, an occupational pension provider built a self service retirement offering, and a Gulf insurer used it to source external investment products from a global asset manager. More than 400 companies use the platform with around 30 core institutional clients. A listed core banking software group agreed in 2026 to acquire the business.

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 data boundary statement was located. The question is live because the platform is explicitly multi tenant, with hundreds of companies operating on shared infrastructure and an open sourcing network through which institutions procure services from each other, and because the newer agent studio operates across those environments. Nothing states whether anything learned in one institution's deployment informs another's, how the sourcing network handles data passing between participants, or what the agents retain.

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

No data protection agreement, retention schedule, subprocessor list or deletion commitment was located. The payload is substantial and long lived, covering portfolio holdings, pension entitlements, insurance cover and household financial circumstances for the end customers of banks and insurers across several jurisdictions with materially different data regimes.

Swiss domicile and European operations impose statutory floors, and the platform is stated to be built on a named public cloud, but neither is a published privacy position and nothing describes how client data is separated between the institutions sharing the platform.

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

No attestation, certification, trust centre or enumerated framework was located. Nearly three decades of selling to Swiss and German banks, a major insurer and pension providers means security assessment has been passed repeatedly at a demanding standard, and an acquisition by a listed banking software group will have involved further diligence, and none of that assurance is published. A prospective institution therefore starts its own review with nothing to read.

Regulatory Status and Licensure
BB on Regulatory Status and LicensureThe regulatory position is clearly stated and appropriate to the product, with part of the verification left to the buyer.
Vendor Published

Regulatory engagement is evidenced through named products rather than generic compliance claims. The platform supports Swiss third pillar and vested benefits arrangements, Gulf end of service benefit entitlements, and in early 2026 the company shipped a production ready solution for a new state subsidised retirement investment account created by German pension reform, which is a response to named legislation rather than a claim of alignment with it.

The sourcing network is described as consisting of regulated financial service providers, so licensing sits with the parties supplying the underlying products. What is absent is the vendor's own position, with no supervisor, statute or conduct rule named as governing what the platform itself does.

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 consumer credit decision applies, so the axis adapts. The inclusion case is real and is the acquirer's stated rationale, since the platform's mass affluent capability extends investment and advisory propositions to customers who sit below the threshold at which traditional wealth management is economic, and the pension deployments reach ordinary savers rather than private clients.

The governance question that replaces it is what those automated propositions decide on a person's behalf: automated investment services allocate retirement savings, and suitability assessment at scale determines what someone is offered and on what terms. Nothing published describes how suitability is determined, how outcomes are monitored across customer groups, or how the platform handles savers whose circumstances fall outside its modelled cases.

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

No guarantee, indemnity or falsifiable commitment was located. Accountability is allocated sensibly by structure rather than by promise, since the institution launching a proposition is the regulated party and the sourcing network supplies products from separately regulated providers, so an end customer's complaint routes to a licensed firm through the ordinary channels in each jurisdiction. That is the regime working around the platform.

Nothing describes correction where an automated allocation or suitability outcome proves wrong, notification of an affected institution, or what the vendor owes when the orchestration layer itself is the cause.

Integration and Deployment
Model Supply Chain Disclosure
BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an explicit in house build, on premise deployment, per customer instances, or zero retention at the model layer.
Vendor Published

The service chain is disclosed to an unusual degree because it is the product: the sourcing network is described partner by partner in function, covering brokerage and global custody, banking as a service, online trading with direct global market access, managed funds and pension accounts, a German investment bank and a Swiss digital wealth platform, and a global asset manager is named as the product provider in one Gulf deployment.

The cloud platform underpinning the architecture is also named. What is not disclosed is the model layer, with no provider identified for the agents in the artificial intelligence studio, and no subprocessor list located.

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

Core agnosticism is the product rather than a feature of it. The platform is positioned explicitly as the orchestration layer above whatever core an institution already runs, working with today's systems and supporting a modernisation path rather than requiring replacement, which removes the objection that stops most wealth technology projects before they start.

The interface first architecture is matched by a pre integrated sourcing network covering brokerage, global custody, banking as a service, online trading, managed funds and pension products, so an institution procures capability rather than building integrations. Implementation in three to six months against a twelve month norm is the measurable consequence, and named deployments at banks, insurers and pension providers across three regions evidence that it holds in production.

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

The platform is stated to be built on a named major public cloud, which is more disclosure than most vendors here provide, and it stops short of a residency position. No region selection, data location commitment or private deployment option is published, and with named deployments in Switzerland, Germany and the Gulf the question of where client and pension data rests is one each of those institutions must answer to its own supervisor.

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, packaging or basis of charge is published. Implementation effort is stated concretely and in comparative terms, with deployments in as little as three to six months against a stated industry standard of twelve, which tells a buyer what adoption costs in time and risk if not in money.

Nothing indicates whether charge falls per institution, per proposition launched, per end client served or on assets on the platform, and the sourcing network adds a second commercial layer whose economics are undescribed.

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

Four financial domains are served across five institution types in multiple regions. Wealth management, banking, credit and insurance all run on the same platform, and buyers span retail and corporate banks, savings bank networks, insurers, asset and wealth managers, occupational pension providers and non financial brands embedding financial services.

Geographic reach is evidenced rather than claimed, with named deployments in Switzerland, Germany and the United Arab Emirates and an active Middle East and Asia presence. Product coverage extends into jurisdiction specific retirement instruments, including Swiss third pillar and vested benefits products, Gulf end of service benefits and a German state subsidised retirement account created by 2026 reform.

Alternatives to additiv

The closest documented capability profiles to additiv 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.

A lighter documented profile than additiv

Documents Autonomy and Oversight Model where additiv does not

Documents AI Centrality where additiv does not

Documents AI Centrality where additiv does not

Documents Autonomy and Oversight Model and Model Risk Management and Transparency where additiv does not

Documents AI Centrality and Autonomy and Oversight Model where additiv 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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