Wealth & Advisory AI
D

DwellFi

DwellFi runs AI agents for fund operations inside the customer's own cloud account. Fund administrators, private equity, hedge and private credit funds, asset managers, family offices and pension funds are the buyers.

The agents index a fund's documents and email, then write software for each fund's capital calls, NAV closes, reconciliations and investor reporting. Calculations compile to deterministic code and are cross checked across models from Anthropic, OpenAI and Google. Exceptions go to a human review queue.

TMF Group selected DwellFi as a strategic AI partner for fund services in April 2026. Deployment is single tenant on AWS, Google Cloud, Azure or Oracle, in a region set by contract. DwellFi states SOC 2 Type II and operates from Palo Alto, Piscataway and Dubai.

Last VerifiedOctober 2, 2026
Compare DwellFi with other vendors
Founded
2022
Headquarters
Palo Alto, California, United States
Website
www.dwell.fi
Categories
wealth-and-advisory, capital-markets-ai
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 12 graded A or B

AI Capability
AI Centrality
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.
Vendor Published

An AI native file system indexes a fund's documents and email in place, AI tables structure them, and agents write custom workflows per fund that draft capital call notices and strike NAV against custodian feeds. The spreadsheets and headcount named as the status quo are what would remain without the models.

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

Results are cross checked across several frontier models before any number reaches a person, and exceptions and model disagreements go to a human review queue. A capital call agent hands drafted notices to that queue rather than sending them, and every action lands in an audit log that exports to security tools.

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

Calculations compile to deterministic code, so the same inputs give the same numbers, every figure ties back to its source document, and models are benchmarked on a continuous schedule. Accuracy figures, benchmark results and a model risk mapping are unpublished.

Operational and Outcome Evidence
BB on Operational and Outcome EvidenceVendor aggregate claims with real figures, or audited scale disclosures from a publicly listed company.
Vendor Published

TMF Group chose the firm as a strategic AI partner for fund services in April 2026, quoting its global head of fund services, Aman Bahel. Funds served, assets administered and time saved are not given.

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

Each agent learns only from work for its own customer, with no shared datastore, and model providers may neither train on customer data nor keep the input after responding.

Regulatory and Compliance
GLBA and Data Privacy Posture
BB on GLBA and Data Privacy PostureA substantive privacy document that reaches the product itself, short of the subprocessor list or the full data handling detail.
Vendor Published

The June 2025 privacy policy reaches the agents, and the control plane sees only operational metadata while fund data, prompts and audit logs stay with the customer. Personal data retention is open ended, and no subprocessor list accompanies it.

Security Certifications and Trust Center
BB on Security Certifications and Trust CenterA recognized certification named in the vendor’s own material without the artifact, or with a scope or renewal question the buyer has to raise.
Vendor Published

SOC 2 Type II is stated in production, with the report and questionnaires in a Vanta trust center at trust.dwell.fi, released on request within one business day. Audit period and control plane scope are not shown.

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

Limited risk under the EU AI Act is the disclaimer's self classification, since the platform serves administrative functions rather than credit scoring or investment decisions, and outputs are declared not to be advice. No supervisory instrument for fund administration is named as a design target.

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

Bias in underlying data is acknowledged, and monitoring for performance, fairness and accuracy is claimed, with no method or result published. Its subjects are funds and calculations, so the surface is modest.

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

Warranties are all disclaimed in the AI disclaimer, outputs are called advisory, and liability for direct and consequential loss is excluded. Any misstated capital account or NAV filing therefore rests with the administrator.

Integration and Deployment
Model Supply Chain Disclosure
AA on Model Supply Chain DisclosureEvery party between the customer’s data and the output is enumerated by name, canonically through a public subprocessor list naming the model providers.
Vendor Published

Anthropic, OpenAI and Google are among five named providers in the model pool, with inference running against endpoints the customer controls. Every layer from parsing to reporting is described as the firm's own, with no vendor between it and fund data.

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

Access runs through an API, a command line or a Model Context Protocol server over the customer's existing ledger and CRM, and the product illustration shows BNY Mellon, Geneva and Investran as connected sources. Public API documentation and a marketplace listing are not published.

Deployment Model and Data Residency
AA on Deployment Model and Data ResidencyOn premise or hybrid deployment is offered and documented, alongside where data rests.
Vendor Published

Single tenant deployment runs inside the customer's own AWS, Google Cloud or Azure account, among others, in a region it chooses and under its own keys, with cross region replication only on request. Residency is fixed by contract rather than by vendor default.

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

Charging per fund, per workflow or per entity administered is never stated, and buyers are routed to a tailored demo.

Institution and Segment Coverage
BB on Institution and Segment CoverageNamed segments with dedicated material behind part of the coverage.
Vendor Published

Fund operations teams, fund administrators and private equity sit among a long buyer list, with administrators an important channel since one deployment reaches many funds. Functions cover capital calls, NAV closes and investor reporting.

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 DwellFi

Vendors in the same categories as DwellFi whose profiles look most alike, each with a line on what the product does. Similar is not the same: check that each one does the job you need. No vendor pays for placement.

ForwardLane sells Signal Studio, a decision intelligence platform that turns a firm's own data into signals, natural language answers and next best actions, each with a full audit trail.

InvestSuite sells white label investing software to banks, brokers, wealth managers and other financial institutions.

Nomerra turns private markets operating procedures into AI agents for asset servicers and asset managers.

Streetbeat builds configurable AI for banks, wealth and asset managers and insurers.

WealthAi sells an AI operating system to wealth managers, advisory practices, family offices, external asset managers and private banks.

Knapsack is a private AI workspace for financial advisers and other regulated professionals, made by Knap Inc of San Francisco.

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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