Capital Markets & Research AI
E

Entrilia

Entrilia is an early stage, venture backed fund operations software company for private capital managers, seed funded by Watertower Ventures and selling front to back operations software to private equity funds, venture capital funds, private debt managers and asset managers, alongside the third party administrators many of them outsource to.

The product is built around what the company calls the most advanced general ledger for private capital and alternative assets: a cloud native, event driven, dual sided accounting system handling allocations, portfolio, cash, payables and calculations, an interactive ownership builder for constructing multi entity fund hierarchies by drag and drop with multiple entity types and currencies, investor insights, business intelligence, a data room, and an investor portal delivering documents and performance updates under per contact access controls. Reporting runs from capital call notices through custom analytics on a single data model.

The platform is positioned as API first and deliberately open, extendable by end users and developers alike, and it ships a named standard connector to the waterfall calculation engine of qashqade so those calculations run inside the application rather than beside it. The artificial intelligence line has two published parts. The company states the platform is enhanced with agentic capability that proactively assists teams across accounting, reporting, data and workflows, and that its configurable input forms use models to cut the time spent organizing the events and transactions inside complex structures.

Separately it has shipped an interoperability protocol server, so a customer can query live platform data from whichever assistant they already use rather than from an assistant the vendor supplies. The investor portal additionally applies behavioral analytics and machine learning to detect attacks and previously unseen exploits, which is a security control rather than part of the accounting product.

Last VerifiedAugust 21, 2026
Compare Entrilia with other vendors
Founded
—
Headquarters
Miami Beach, Florida, United States
Categories
capital-markets-ai
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 1 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

This is a ledger with AI added, and the company's own phrasing says so. The platform is described as enhanced with agentic capability, an addition to a ledger rather than a description of one. The vendor's positioning is that it builds the most advanced general ledger for private capital. The accounting engine, the ownership builder for multi entity structures and the investor portal all keep working with the models removed. So do the data room, the reporting layer and the waterfall connector. The AI claims sit on the product surface, including a shipped protocol server, and not only in category essays.

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

An outcome is asserted and no control is named. The platform is said to be enhanced with agentic capability that proactively assists teams across accounting, reporting, data and workflows. Nothing states what that capability may do without a person or what it may write to. Nor does anything say where an approval is required or what it is prevented from touching.

The gap is sharper because of what Entrilia has shipped: an interoperability protocol server that exposes a fund's live general ledger to whichever outside assistant the customer chooses. Nothing is published about which permissions travel across that boundary. At least two competing fund platforms ship the same kind of interface and state explicitly that permissions and the audit trail travel with it.

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

One ambiguous line is the only claim. It offers traceable answers from live platform data, and it sits in marketing about connecting an outside assistant. There, traceable may mean the data is live rather than that an answer carries provenance back to a record. A competitor states the same idea consistently across its material as a property of every response, and one phrase is not the same claim. Nothing is published on accuracy, validation or benchmarking, or on monitoring and drift.

Operational and Outcome Evidence
CC on Operational and Outcome EvidenceUnnamed case studies, customer logos, or claims without numbers. Prestige is not measurement: the caliber of the client list describes the buyer rather than the product, and coverage statistics are not adoption statistics.
Vendor Published

No client is named, and there is no case study, quantified outcome or client count. The one named relationship is a technology partnership with a waterfall calculation vendor. It was announced with a quote from Entrilia's own co founder rather than from a customer, so it evidences an integration, not an adoption. The framing is self reported throughout.

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

Nothing published on training, tenant isolation, retention or what happens to fund data at termination. The omission is most consequential at the protocol boundary, since data leaves for an assistant the vendor does not control and nothing states what is sent, what is retained on either side, or whether the customer's own model provider terms govern it. The vendor has moved the model outside its own perimeter and published nothing about the perimeter.

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

The one published control is about access, not privacy. Per contact access control on the investor portal lets a manager limit which documents and data each investor contact can reach. No privacy position or processing terms are published. There is no subprocessor list, retention schedule or framework compliance statement.

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

Two security claims exist and neither is a credential. The vendor says customer data sits behind a leader in cloud security without naming the provider, a borrowed authority pattern that gestures at a supplier rather than naming one. It also describes a world class cybersecurity model with behavioral analytics detecting attacks and previously unseen exploits. That is a product capability claim, not evidence that anyone has audited it. There is no certification, attestation or trust portal.

Regulatory Status and Licensure
CC on Regulatory Status and LicensureThe regulatory position is unstated. Most vendors in this index are technology suppliers and being unlicensed is the correct posture, so this grade records silence about the posture, not a missing license.
Vendor Published

No licence, no supervised test and no programme enrolment, which is the expected position for fund accounting software sold to private capital managers rather than to supervised deposit taking institutions.

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

Consumer protection exposure is low, and nothing is published. The work is fund accounting, allocation and investor reporting, and no decision about a person's access to a financial service is being made.

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

The affected party is identifiable and is not the customer. It is an investor whose capital account statement is produced from the same ledger the models help populate, and who has no relationship with Entrilia. That pattern holds across fund accounting platforms. No allocation of responsibility is published, and there is no route for an affected party.

Integration and Deployment
Model Supply Chain Disclosure
CC on Model Supply Chain DisclosureThe architecture is described and no provider is named.
Vendor Published

For the protocol path the vendor supplies no model at all, since the customer brings whichever assistant they already run. That discloses the shape of one path and leaves the vendor's own inference entirely unaccounted for. No model or provider is named for the agentic capability or for the models said to power the input forms, and there is no version or hosting arrangement. Those models are described only as the latest in interfaces, AI and machine learning.

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 integration story is concrete, and strong for a company at this stage. Three specifics back it rather than an architecture claim. The platform is the general ledger itself for the funds that run on it, so it is the system of record rather than a layer beside one. A named standard connector runs the waterfall calculations of a named third party engine inside the application. A shipped interoperability protocol server exposes live platform data to outside assistants.

Those specifics back the positioning as open, extendable by end users and by developers. The limits are scale and breadth: one named connector, no partner ecosystem and no certified platform connectors. Nor is there a published installed base for any of it to be deep into.

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

Cloud native is stated and that is the whole of the disclosure. The vendor publishes no region or tenancy model, and no residency or hosting arrangement. An aggregator profile lists a United States server location, which is a third party listing rather than a vendor statement.

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

A direct competitor publishes a starting annual figure, so the silence on price is a choice rather than a category norm. No price or tier is published, nor any unit or pricing basis, and there is no pricing page.

Institution and Segment Coverage
CC on Institution and Segment CoverageSegments claimed broadly, banks, fintechs, credit unions, without evidence any of them has its own maintained surface.
Vendor Published

Coverage is narrow. The buyer is the private capital fund and its administrator: private equity, venture capital, private debt and alternative asset managers, all inside one operational segment. No client count or assets figure is published, and there is no geographic footprint or named institution. The company is at seed stage with a single institutional investor. Several competing fund platforms publish client counts in the thousands and assets in the trillions. The narrowness reflects scope, not a flaw in the product.

Alternatives to Entrilia

Vendors in the same categories as Entrilia 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.

ABC Quant sells Risk Shell, a quantitative risk and portfolio construction platform for fund of funds managers, hedge fund investors, pension funds, family offices and investment consultants.

MSCI is a New York provider of indexes, risk analytics, ESG research and private capital data to the global investment community.

Backstop sells an investment management platform to institutional allocators and the managers who raise from them.

Cohesion sells a team of monitoring agents to fundamental equity investors, tracking the companies an analyst covers across earnings calls, investor presentations, regulatory filings, news…

FundCount is an integrated accounting, investment analysis and reporting platform used by hedge funds, private equity firms, family offices, fund administrators and asset managers, and…

IVM Markets sells structured product idea generation and optimization to the distribution side of the equity derivatives market, meaning brokers, private banks, asset managers, wealth…

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.

Contact us

Found a vendor we missed? Have feedback on the index? We’d love to hear from you.

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.
© 2026 AI FinTech Index
3801 N Capital of Texas Hwy, Ste E240 · Austin, TX 78746