Best AI Tools for Family Offices in 2026

The best AI tool for a family office reads everything the office receives, from capital account statements and K-1s to manager letters and the filings of the public companies it owns, and answers on the family’s own structure. Our pick is Kepler: our engineers build one model of the office, so every entity, trust, fund, direct deal and holding resolves to one record; every document is read in full as it arrives; and code computes and cites every number, from look-through exposure to the figures in the family’s quarterly report.

This list is for single-family and multi-family offices that hold fund commitments, direct and co-investments and public portfolios, usually with a small investment and operations team. The jobs it covers are look-through exposure, capital calls and distributions, K-1s and tax documents, manager diligence and re-ups, and reporting to the family. Larger asset managers should see our list of AI tools for asset managers.

We build Kepler, so it’s first and labeled. Facts about other tools come from their websites, announcements and trade press as of November 2026, linked inline, and pricing appears only where a vendor publishes it.

How we picked

• The whole structure: does it understand the family’s entities, trusts and vehicles, and which one owns what?
• Every document read: statements, notices, K-1s, LPAs, side letters and manager letters, scans included, or only a fixed set of fields?
• Numbers that reconcile: do calls and distributions tie to each capital account statement, with every figure traced to its page?
• Look-through: can it see one company across funds, co-investments and direct holdings?
• A small team’s time: does work run on its own, with alerts when something is late, changed or wrong?
• Privacy and controls: permissions across family members, advisors and staff, every access logged, and no training on your data.

Quick comparison

Tool	Best for	What its AI works on	Documents it handles	Where numbers come from
Kepler	One model of the office, every number computed and cited	Every document and system the office connects, plus public filings	Statements, notices, K-1s, LPAs, letters, filings	Pulled from the source and computed by code
Addepar (Addison)	Consolidated wealth reporting	Addepar portfolio data	Calls, statements and notices through Alts Data Management	Addepar platform data
Masttro	Wealth aggregation with document AI	Live portfolio data	Capital calls, distribution notices, K-1s	Extracted with AI and OCR
Asora	Smaller offices that want fast setup and published prices	Aggregated wealth data	Private fund documents via a Canoe add-on	Aggregated and cleansed data
Arch	Collecting fund documents and K-1s	Fund documents and GP updates	Financials, reports, K-1s, offering documents	Extracted with exception handling
Canoe Intelligence (Bloomberg)	Extraction at scale	Private fund documents	Statements, reports, notices	Extracted and validated fields
Eton Solutions	Back-office ERP and accounting	AtlasFive ledger and documents	250+ document types, per Eton	Ledger and processed documents
Chronograph LP	Monitoring a large fund program	Documents held in Chronograph	Reports, statements, LPAs, notices	Collected portfolio data
Microsoft 365 Copilot	Email, spreadsheets and documents	Microsoft 365 content	Whatever the team opens	Model-written from your files
Claude / ChatGPT	An assistant over wealth-platform connectors	Connected platforms and uploads	Uploads and connector data	Model-written, linked to sources

The best AI tools for family offices

1. Kepler (our pick)

We build Kepler.

Best for: single- and multi-family offices with fund commitments, direct deals and public holdings that want one model of the office, with every number in an exposure report, a reconciliation or a family update computed from source and cited.

A family office’s information arrives as documents from dozens of directions: GP portals, an inbox full of notices, K-1s in March, a manager’s quarterly letter, a board deck from a direct investment, a brokerage statement. Each GP spells the same company differently, the same holding sits under three entities, and the team that has to make sense of it is small. A frontier model can summarize any one of those documents. It writes its numbers as text and knows nothing about which trust owns which LP interest.

Our forward-deployed engineers, who built this layer before at Palantir, build one living model of the office. Every entity, trust, family member, fund, GP, co-investment, direct company and public holding resolves to one record, with ownership shares between them, and your definitions of exposure, net IRR and unfunded commitment apply every time. Extraction models we train read every page of every document as it arrives, scanned statements and K-1s included, and keep each figure with its value, scale and unit beside its source. The public record comes loaded too: 26M+ SEC filings and 40M+ investor relations documents and transcripts for 14,000+ companies, so a holding named in a fund report links to that company’s own filings.

Code computes every number. Look-through exposure is one total, broken down by entity, fund, co-investment and direct position, with each input cited to its statement (what look-through exposure is). Calls and distributions reconcile against each capital account statement, and a break, or a notice whose amount or payment details differ from the last one, is flagged. Agents work on events: a notice landing in the inbox, a K-1 that hasn’t arrived, a manager’s letter, a filing from a public holding. They act as the person who set them up and never take instructions from what they read, and results arrive as a digest, an alert with the exact quote, or a drafted family report in your format. All of it works in the Kepler app, Excel, PowerPoint, Word, Claude, ChatGPT, Slack and email.

Why it’s our pick for family offices

• One model of the family’s structure. Entities, trusts, funds and holdings, with ownership shares, as one set of records.
• Every document read. Statements, notices, K-1s, LPAs, side letters and letters, so “every fund with a key-person clause” is a complete list.
• Exposure that adds up. Look-through by entity and vehicle, every input cited, the arithmetic in code.
• Reconciliation built in. Calls and distributions tied to statements, breaks and changed payment details flagged.
• A small team, extended. Agents that watch the inbox, the portfolio and the calendar of expected documents.
• Private by design. Each office’s data isolated at the identity layer, your permissions mirrored on every read, and we hold SOC 2 Type II (security).

Questions family offices ask Kepler

• “What is the family’s look-through exposure to this company across every entity, fund and direct position, as of the latest statements?”
• “Reconcile this year’s capital calls and distributions against each capital account statement and show the breaks.”
• “Which K-1s haven’t arrived yet, and which GPs were late last year?”

Not the right fit if: your family’s wealth sits mainly in a few brokerage accounts that a consumer wealth app already consolidates.

Try Kepler at app.kepler.ai, or book a demo and we’ll show look-through exposure on a structure like yours.

2. Addepar (Addison)

Best for: multi-family offices and wealth managers that want consolidated reporting across public and private assets.

Addepar is a wealth and portfolio reporting platform, and its AI sits on that data. Addison, launched in March 2026, answers plain-language questions about performance drivers, exposures and liquidity, with permission-aware access and outputs traceable to the data. Alts Data Management uses machine learning with human review to pull figures from capital calls, statements and distribution notices. ADX, a managed data environment built on Databricks, lets firms load CRM, ledger and third-party data next to Addepar’s positions, and at its May 2026 conference Addepar announced wider private fund look-through, pacing analysis and capital activity dashboards. An MCP connector brings Addepar data into Claude.

How Kepler differs: Addepar reports on the portfolio data it holds. Kepler reads the documents behind it, from LPAs to manager letters, and answers across all of them with every figure cited.

3. Masttro

Best for: offices that want wealth aggregation, document AI and a family portal from one vendor.

Masttro, founded in 2010 by family office operators, combines aggregation with three AI tools. Documents AI extracts capital calls, distribution notices, K-1s and other alternatives documents using AI and OCR; Alternatives AI handles illiquid positions; and Masttro Intelligence answers natural-language questions across live portfolio data. The platform also includes a Global Wealth Map of the family’s structure, client portals, reporting and governance workflows. Pricing is a custom annual subscription, not based on assets.

How Kepler differs: Masttro organizes the family’s wealth data and documents. Kepler adds every document read in full, public filings for the holdings, and each number computed in code on your definitions.

4. Asora

Best for: smaller single-family offices that want published prices and a fast start.

Asora, founded in Dublin in 2021, is a family office platform for aggregation, reporting, accounting and workflows across multi-entity structures. Asora Connect, built on the Model Context Protocol, lets clients query their own wealth data through Claude, ChatGPT or another MCP assistant, read-only and permission-scoped. Private fund statements, calls and distributions are ingested through an optional Canoe Intelligence add-on. Asora publishes its pricing: tiers by net worth starting at €800, $900 or £700 a month, with unlimited users, and it says most offices are live within four weeks.

How Kepler differs: Asora is a clean system of record for a family’s wealth. Kepler is built for the analysis on top: exposure across vehicles, manager diligence and complete answers from every document.

5. Arch

Best for: offices with many fund commitments that want documents and K-1s collected for them.

Arch collects financials, reports and K-1s across a family’s funds and extracts the data, handling exceptions before they reach the team. It follows up with the GP when a K-1 is late or incomplete, checks new wire instructions against past capital calls, summarizes GP letters and calculates the family’s exposure to notable IPOs. Lookthroughs show underlying holdings adjusted to the family’s ownership share, with valuations, financials and news. In September 2026 Arch extended its AI to pre-investment diligence: its Investment Research product pulls key terms from offering materials, with each term linked to its source document.

How Kepler differs: Arch is built around collecting and organizing fund documents. Kepler builds a model of the whole office that every question, agent and report draws on, with public holdings and direct deals in the same place.

6. Canoe Intelligence (Bloomberg)

Best for: offices and their service providers that need private fund documents extracted at volume.

Canoe uses AI to turn capital account statements, performance reports and notices into validated data. Bloomberg completed its acquisition of Canoe on October 1, 2026; joint clients can send Canoe’s validated fund data into Bloomberg PORT Enterprise for a combined view of public and private assets, and Bloomberg plans to bring private markets intelligence into ASKB, its AI assistant. Asora, for one, offers Canoe as its add-on for private fund document ingestion.

How Kepler differs: Canoe’s job ends at clean, validated fields for each document. Kepler keeps the whole page, so side-letter terms, GP commentary and footnotes stay answerable next to the numbers, all of it on one model of the office.

7. Eton Solutions

Best for: larger single- and multi-family offices that run accounting and operations on one ERP.

Eton Solutions was created by the multi-family office Eton Advisors, and its core platform for family offices is AtlasFive. EtonAI, an add-on launched in September 2025, processes more than 250 document types across bill pay, private equity, tax and onboarding, and handles month-end work such as transaction uploads, general ledger coding, market value reconciliations and report narratives. In November 2026 Eton launched EtonAlpha, a direct-to-consumer offering built on the same technology.

How Kepler differs: Eton automates the back office. Kepler is built for the investment side: exposure, diligence, monitoring and reporting, with every figure traced to its document.

8. Chronograph LP

Best for: offices with large fund programs that want a dedicated LP monitoring system.

Chronograph LP serves fund-of-funds, pensions, endowments and family offices. ChronoAI works across the documents clients keep in Chronograph, from quarterly reports and capital account statements to LPAs, and its LP plugin for Claude (October 2026) forecasts cash flows, builds commitment pacing plans, scans look-through exposure by sector, geography, vintage and currency, and preps manager meetings.

How Kepler differs: Chronograph monitors the fund program. Kepler covers the whole office, direct deals and public holdings included. See Kepler vs Chronograph.

9. Microsoft 365 Copilot

Best for: small teams that live in Outlook and Excel and want help with email, spreadsheets and documents.

Microsoft 365 Copilot catches up on email, drafts responses and manages the calendar in Outlook, analyzes and visualizes data in Excel, and offers chat grounded in the team’s own work files. Microsoft lists the Copilot Business add-on from $18 per user a month on annual billing.

How Kepler differs: Copilot helps with whatever file is open. Kepler knows the office’s whole structure, reads every fund document in full, and computes each figure in code.

10. Claude and ChatGPT

Best for: offices that want a frontier assistant over the platforms they already use.

Wealth platforms now connect straight into the assistants: Addepar’s MCP connector works in Claude, Asora Connect works in Claude and ChatGPT, and Chronograph offers plugins for Claude. Anthropic’s Claude for Financial Advisors prepares briefs, summaries and draft analyses for review. Kepler runs inside both Claude and ChatGPT.

How Kepler differs: an assistant on its own answers from what a connector returns and writes the figures itself. With Kepler in the same window, every document is already read and every number is computed and cited.

How to choose

1. Start with the hardest question. “What is our exposure to this company across every entity and vehicle?” shows quickly whether a tool understands the family’s structure.
2. Test with a messy GP. Use your worst-formatted manager’s scanned statements and a late K-1.
3. Tie out a quarter. Roll one fund’s capital account forward from the notices and check it against the statement. Our guide to processing capital calls with AI walks through the steps.
4. Count a list. Ask for every fund agreement with a key-person clause and compare it with your own records.
5. Check who sees what. Family members, advisors and staff should each see only their part, with every access logged.

For allocator-style diligence on managers, see the best AI tools for LP and fund-of-funds due diligence, and for the document side in depth, how LPs use AI on fund documents.

See Kepler on your own structure at app.kepler.ai, or book a demo.

Frequently asked questions

What is the best AI tool for a family office?

Our pick is Kepler. Our engineers build one model of the office, so every entity, trust, fund commitment, direct deal and public holding resolves to one record. Every statement, notice, K-1 and manager letter is read in full as it arrives, and code computes and cites every number, from look-through exposure across vehicles to the figures in the family's quarterly report. We build Kepler.

How are family offices using AI in 2026?

Mostly for four jobs: pulling data out of capital account statements, capital call and distribution notices and K-1s; seeing exposure across funds, direct deals and public portfolios; summarizing manager letters before re-ups; and drafting reports for the family. The offices getting the most from it insist that every figure trace back to the document it came from.

Can AI calculate look-through exposure for a family office?

Yes, if it reads every fund's schedule of investments, matches the same company across different GPs' spellings and the family's direct holdings, and applies each entity's ownership share. Kepler returns look-through exposure as one number broken down by entity, fund and direct position, with every input cited to the statement it came from and the arithmetic done in code.

Can AI read K-1s and capital call notices?

Yes. Masttro, Arch, Addepar, Canoe and Eton all extract data from private fund documents, and several follow up when a K-1 is late. Kepler reads every page of each notice, statement and K-1, files each figure against the right entity, fund and period, reconciles calls and distributions against capital account statements, and flags any break or changed payment detail.

Is it safe for a family office to use AI tools?

Ask every vendor whether your data trains any shared model, how permissions work across family members, advisors and staff, and what is logged. Kepler isolates each office's data at the identity layer, mirrors your own permissions on every read by a person or an agent, logs every query, holds SOC 2 Type II, and deploys in our cloud or yours.