Wealth & Advisory AI
D

DiligenceVault

DiligenceVault runs a two sided diligence platform sitting between the institutions that allocate capital and the managers that receive it, replacing the questionnaires, documents and email that fund research still runs on. Allocators use it for manager sourcing, operational due diligence, compliance attestations, regulatory filing monitoring and investment committee memo creation; managers use it to respond once rather than repeatedly.

Its embedded AI autofills questionnaires, processes documents and drafts memos with human review and an audit trail at every step, and it draws on a structured data network of more than twenty thousand managers responding directly rather than scraped.

Last VerifiedAugust 10, 2026
Compare DiligenceVault with other vendors
Founded
2014
Headquarters
New York, New York, United States
Categories
wealth-and-advisory, capital-markets-ai, compliance-and-surveillance
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 9 graded A or B

AI Capability
AI Centrality
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a rules or workflow system.
Vendor Published

Models do genuine work across questionnaire autofill, document processing and investment committee memo drafting, and the company has been applying them since 2019 with a generative module added in 2024, so this is accumulated capability rather than a recent repositioning.

What sits underneath is the more valuable asset: a two sided network of more than twenty thousand managers responding directly, plus the structured workflow, scorecards and audit trail that ran the business for a decade before generative tools existed. Apply the removal test and that network and workflow survive intact.

Autonomy and Oversight Model
AA on Autonomy and Oversight ModelWhat the system runs alone, what constrains it, and how a person checks it are all published: modes, thresholds, sampling or audit controls, and the route a case takes to human review.
Vendor Published

The oversight commitment is stated as a property of every workflow rather than as a feature of one, with the assistant embedded across questionnaire autofill, document processing and memo generation and human review plus an audit trail attached at every step. The company frames the purpose explicitly as artificial intelligence a compliance team can stand behind, which is the right test for a product whose output supports fiduciary manager selection.

Attestations, reviews and risk monitoring are automated around that human checkpoint, and compliance evidence is produced board ready with full audit trail on every action. What is not specified is the threshold detail within a given workflow.

Model Risk Management and Transparency
BB on Model Risk Management and TransparencyReal transparency mechanisms are published, such as per alert explainability, confidence scoring or split testing, without the validation package or supervisory mapping behind them.
Vendor Published

Two properties give a reviewer real material. The audit trail is described as covering every action rather than only outcomes, so what the assistant did and what a person approved are both reconstructable, and human review at each step means a machine drafted output has a named approver attached before it travels. Data provenance is disclosed as source direct, which tells a validator where inputs originate. What is missing is the measurement layer: no accuracy figures for autofill or document extraction, no error analysis, no model documentation and no stated support for a firm's own validation.

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

Scale is stated consistently and has grown traceably across dated sources, from 50,000 users in 2023 to more than 70,000 across 15,000 firms in 120 countries, with offices on three continents. A strategic minority investment from a major investment bank's growth equity arm in 2019 is a diligence signal from a party that knows this market.

Named deployments span geographies and institution types, including a South African discretionary fund manager with substantial assets under stewardship and an Australian investment research and governance team, and a top tier United States bank appears as a case study. The founder ran liquid investments and alternatives risk at a global bank before starting the company.

AI Safety and Data Stewardship
AA on AI Safety and Data StewardshipThe cross client data boundary is answered specifically and falsifiably: commitments like zero training on customer data or per customer model instances.
Vendor Published

The data provenance statement is the strongest in this lane and directly addresses the question most network vendors evade. The platform describes its network as source direct, with managers responding to questionnaires and sharing profiles themselves rather than the vendor scraping or aggregating without consent, and states plainly that the data is not scraped and not stale. Because the manager is a participant rather than a subject, consent is structural rather than assumed.

Alongside that, the artificial intelligence is described as embedded with human review and an audit trail at every step, framed as something a compliance team can stand behind. What is absent is model provider disclosure and any evaluation of extraction or drafting accuracy.

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

Consumer financial privacy has limited purchase, since the data is institutional: fund documents, manager questionnaire responses, holdings, scorecards and regulatory filings. The commercial sensitivity is high in a specific way, because a manager's questionnaire responses disclose its operations, service providers and terms to allocators who may also be evaluating its competitors on the same platform. No published privacy framework, retention schedule or subprocessor list was located.

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 trust centre, enumerated certification list, attestation scope or audit period was located in this pass. Institutional allocators and their operational due diligence teams are among the most demanding vendor reviewers in finance, and a platform holding manager questionnaires and fund documents for 15,000 firms would have supplied independent reports repeatedly, so the published record understates the position. Appearing in an institutional limited partner association vendor factsheet indicates engagement with that scrutiny.

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

DiligenceVault supplies technology to institutions carrying the obligations, and it engages those obligations concretely rather than generically. A fund adviser's fiduciary duty over sub advisers is named as the reason its oversight module exists, regulatory filing monitoring is built in, and disclosure reporting is aligned to three named sustainability frameworks, which is specificity most vendors avoid. Board ready compliance evidence with a full audit trail is treated as an output rather than a by product. No formal admission programme with published criteria is evidenced.

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

The subjects are fund managers rather than people, and the structural question mirrors the one raised by other diligence platforms in this index: a network of twenty thousand managers with standardised questionnaires and scorecards advantages firms with the operational infrastructure to respond well, which correlates with size rather than with investment quality. Emerging managers and smaller boutiques carry the same reporting burden with fewer people to meet it. Nothing public addresses that dynamic, and no accuracy measurement for autofill, extraction or memo drafting was located, which matters because a drafted memo reaches an investment committee.

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

Human review at every step with a full audit trail is genuine practical recourse, because a wrong extraction or a flawed memo draft has a named approver and a reconstructable path, and the allocator remains the accountable party for a manager selection under its own fiduciary duty. Nothing binds the vendor: no accuracy guarantee, no remediation term and no published error rate.

The party with least recourse is a manager whose questionnaire response was extracted or summarised inaccurately in an allocator's memo, since they never see how their submission was rendered downstream.

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

Data provenance is stated with unusual precision for the input side, describing a network of more than twenty thousand managers responding directly and sharing profiles on the platform, explicitly not scraped and not stale, with regulatory filing data integrated as a further named source. A buyer can therefore trace where diligence data originates and knows it was supplied rather than harvested. The model layer is closed: no providers are named for the assistant or document intelligence components, and no subprocessor list is 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

The two sided network is itself the integration achievement, since a manager already on the platform for one allocator can respond to another without new onboarding, which reduces friction for lean teams and is the network effect the business rests on. Regulatory filing data is integrated for ongoing monitoring, and the platform spans manager sourcing through to memo generation in one system rather than several. What was not located is connectivity outward: no portfolio management, customer relationship or reporting systems are named as integrations, and no public developer documentation was found.

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

Delivery is cloud hosted with users across 120 countries and offices in North America, Europe and Asia, which means manager and allocator data crosses jurisdictions as a matter of routine operation. No hosting regions, residency options, tenancy separation between competing allocators on the same platform, transfer mechanisms or subprocessor locations were located in this pass.

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 rates, tiers, billing unit or minimum were located, and an independent buyer's guide states plainly that pricing is not publicly disclosed. The same guide adds the practical caveat the vendor does not, warning that teams early in formalising their manager selection process may need meaningful setup effort before the platform pays back, which is the kind of fit guidance a prospect needs and gets only from a third party.

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

Both sides of the diligence relationship are served, which is structurally rare, and the buyer list on the allocator side is enumerated in unusual detail: private banks, bank wealth platforms, wirehouses, registered investment advisers, wealth platforms, multi family offices, turnkey asset management programmes, wrap platforms and outsourced chief investment officers, plus asset owners and consultants.

Coverage spans the United States, Europe, Australia and South Africa, and asset class breadth runs from mutual funds and exchange traded products through to hedge funds and private markets, with more than sixty percent of platform managers running alternatives.

Head to Head

Compared With

Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.

Alternatives to DiligenceVault

The closest documented capability profiles to DiligenceVault 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.

Stronger documented coverage on Core Systems and Integration Depth

Stronger documented coverage on Core Systems and Integration Depth

A lighter documented profile than DiligenceVault

Stronger documented coverage on AI Centrality

Documents Commercial Transparency and GLBA and Data Privacy Posture where DiligenceVault does not

Stronger documented coverage on Core Systems and Integration Depth

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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