Wealth & Advisory AI
K

K1x

K1x digitizes the tax documents that private market investments produce. Institutional investors, fund managers and accounting firms use it to receive, create and route Schedule K1s and related forms.

K1 Aggregator collects incoming tax documents and extracts the allocation data inside them. K1 Creator produces K1s, and 990 Tracker handles exempt organization reporting. The data flows to tax systems such as CCH Axcess and ONESOURCE, and to the IRS as an approved electronic filing provider.

K1x states more than 40,000 organizations on the platform, including 20 of the 25 largest accounting firms. It names a SOC 2 Type II examination with a SafeBase trust center and is based in Morristown, New Jersey.

Last VerifiedOctober 2, 2026
Compare K1x with other vendors
Founded
—
Headquarters
Morristown, New Jersey, United States
Website
k1x.io
Categories
wealth-and-advisory, capital-markets-ai
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 7 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

Patented models read partnership statements down to footnotes and allocation items, and the homepage cites 80 Schedule K1 forms extracted in eight minutes. Extraction is the first step, though, and the distribution, validation and filing platform around it would run on manually entered data.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

A confirmation marker tells a preparer an extraction is right, and validation steps sit between extraction and distribution. Confidence scores on extracted values, an exception queue for unreadable documents and a threshold for manual routing are not described.

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

Accuracy is described as about 100 percent, with no method, sample or error rate behind the claim. Model documentation and support for a firm's own review are unpublished, a gap for output that becomes a federal filing.

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

Penetration figures are specific enough to check, including 44 of the top 100 institutional investors and 20 of the top 25 accounting firms, across more than 40,000 organizations. Outcome claims of 50 percent time savings and a 66 percent cut in cycle time are aggregates with no named customer attached.

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

Proprietary models trained on the complex tax forms this market handles raise the question of whose forms trained them. Listed items on generative AI usage and AI transparency carry no readable contents, and the homepage says nothing on whether customer documents feed training or whether a firm can opt out.

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

Income and identifying detail for institutions and family members passes through the platform onward to tax software and tax authorities, so it is a conduit as well as a store. A privacy section is listed in the trust center but is not readable as page text, and the homepage states no retention period for extracted tax data.

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 named, and the SafeBase trust center at trust.k1x.io releases reports after the team reviews an access request. Electronic filing authorization from the IRS is a filing permission, not a security attestation.

Regulatory Status and Licensure
AA on Regulatory Status and LicensureThe regulatory position is stated and a formal admission process stands behind it: a register entry, an eCBSV enrollment, a payment network partner admission, or presence inside SAR or CTR filing paths.
Vendor Published

Approval for IRS electronic filing of the Form 990 series and related returns puts K1x inside a federal filing path, and it files with 42 state taxing jurisdictions. That admission covers transmitting exempt organization returns, not the K1 extraction itself.

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

An extracted figure does not inform a decision here; it lands in a filed tax return. K1x publishes no error analysis by form type or allocation item and no account of how a misread value is caught once it flows into a return.

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 preparer who signs the return is the accountable human, and validation steps exist to support that review. No remediation term is published, and a taxpayer facing interest and penalties over a misread allocation is usually unaware extraction software was involved.

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

Inputs are documents customers already hold, and the models are proprietary, backed by more than 45 patents. The trust center lists a subprocessors item without readable contents, and no model or infrastructure provider is named.

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

Tax preparation systems are named targets, CCH Axcess, ONESOURCE and GoSystem Tax RS, and data also reaches investor portals and data warehouses without rekeying. Its stance against vendor lock in speaks to exit as well as entry.

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

Retention obligations of several years attach to tax records, and the platform holds document sets for tens of thousands of organizations. Hosting provider, region and tenancy model are unnamed for this cloud service.

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

Pricing sits behind a request form, with rates, tiers and the billing unit unpublished. One testimonial mentions a price smaller family offices can afford, a positioning signal for a buyer range that runs up to global accounting firms.

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

Allocators and the professionals around them are the market, from institutional investors and family offices to accounting firms and endowments. Material is split by product rather than by institution type, with K1 Aggregator, K1 Creator and 990 Tracker each serving a role.

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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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