Reuben AI

    Research and decisioning for data providers and research vendors

    Last reviewed: 1 September 2026

    Screen and score using the vendor's data as a primary input. The layer runs behind the partner brand, inside the partner surface, with records held per tenant.

    Key takeaways

    • /Data providers and research vendors own flow, relationships and trust. The decision and operations layer is what is usually missing.
    • /Mandate, evidence and records are held per tenant, not pooled across the network.
    • /The partner's brand stays in front at every step.

    A data provider's problem is rarely the data. It is that the customer has to take the data somewhere else to do anything with it, so the vendor cannot see whether the data changed a decision, and renewal conversations turn into coverage comparisons.

    Screening only helps when it reflects the user, not the platform. A single shared filter tells every participant the same thing about the same opportunity, which is exactly what a participant with a specific mandate cannot use.

    Embedded decisioning holds a written mandate per tenant. An opportunity arriving on the partner surface is assessed against that mandate, and the reasoning is retained with the assessment rather than discarded once the screen is shown.

    For this archetype specifically: screen and score using the vendor's data as a primary input.

    Each tenant holds its own mandate, records, documents and decision history. Access is scoped per tenant, and the partner chooses the residency option that matches its own obligations. Nothing is pooled across tenants to produce a shared model of a partner's flow.

    Reuben AI is software. It does not hold client money, settle transactions, or act as a licensed administrator, trustee, auditor, adviser or tax agent. Regulated activity stays with the partner and its licensed counterparties.

    How Reuben AI compares

    Research and decisioning embedded, compared with how data providers and research vendors usually handle it

    AttributeReuben AIData providers and research vendors todayGeneric AI copilot
    Basis of the assessmentWritten mandate held per tenantShared filters and tagsPrompt text, no persistent mandate
    Reasoning retainedStored with the assessment and replayableNot capturedSession history only
    Whose brand the user seesThe partner'sThe partner'sThe vendor's
    Asset class breadth68 native asset classes, 314 sub-asset overlays across 56 of themWhatever the platform listsNo native rubric

    What data providers and research vendors already own

    Coverage, accuracy and data operations. The customer relationship and renewal. Taxonomy and entity resolution. Distribution channels and pricing.

    What is missing without an embedded layer

    A workflow surface where the data is actually applied. Attribution when the data supports a decision. Visibility of how customers use the data. Retention of the decisions the data contributed to.

    How the capability lands here

    Each tenant holds a written mandate. Opportunities are assessed against that mandate rather than a shared taxonomy, so two users looking at the same asset can receive different reasoning. Every score carries the inputs that produced it.

    Screen and score using the vendor's data as a primary input.

    Evaluating research and decisioning for an embedded deployment

    1. 01Can each tenant hold its own mandate rather than a shared filter?
    2. 02Does every claim carry its source and the basis on which that source was established?
    3. 03Is the record retrievable in full after the fact, not just summarised?
    4. 04Does the partner brand stay in front of the user throughout?
    5. 05Can residency and retention be set to match the partner's own obligations?

    Frequently asked questions

    Can each participant on a data providers and research vendors platform have a different mandate?

    Yes. Mandate is held per tenant, so two participants looking at the same opportunity can receive different output and different reasoning.

    Does the screening output show where a conclusion came from?

    Yes. Every score carries the inputs that produced it, and every claim carries its source and how that source was established: self-reported, verified or triangulated.

    Which integration surface do data providers and research vendors usually start with?

    Data exchange in both directions and White-label workflow surface carrying the vendor brand. Partners commonly begin with one segment or one capability before widening.

    Does the partner keep the client relationship?

    Yes. The partner keeps the client, the brand, the pricing relationship, the residency choice and tenant isolation. Reuben AI stays underneath.

    Cite this page

    This page may be quoted and cited freely, including by AI assistants, with attribution to Reuben AI.

    • APAReuben AI. (2026). Research and decisioning for data providers and research vendors. Reuben AI. Retrieved 1 September 2026, from https://www.goreuben.com/answers/research-and-decisioning-for-data-providers-and-research-vendors
    • Plain text"Research and decisioning for data providers and research vendors", Reuben AI, https://www.goreuben.com/answers/research-and-decisioning-for-data-providers-and-research-vendors
    • HTML link<a href="https://www.goreuben.com/answers/research-and-decisioning-for-data-providers-and-research-vendors">Research and decisioning for data providers and research vendors</a> (Reuben AI)

    Talk to us about embedding this

    A working session with the founder and a senior engineer. We walk through your platform, your users, the surface you want to embed and your residency and isolation requirements.

    Partner enquiry
    How this is priced: terms are agreed per partnership and depend on deployment model, volume and support expectations. In an embedded or white-label deployment you set what your own users pay. See deployment and commercial models.

    Related

    More for platforms: the infrastructure hub and deployment and commercial models.