Directory of AI portfolio management and construction vendors for advisers

Addepar is a New York headquartered data and portfolio intelligence platform for investment professionals, founded in 2009 and serving more than 1,400 firms across nearly 60 countries who manage and advise on close to 9 trillion dollars of assets, of which over 40 percent sits in alternatives. Buyers span registered investment advisers, multi family offices, single family offices, private banks, institutions, asset owners, allocators and fund managers, with named clients including Morgan Stanley, AllianceBernstein and the Geneva multi family office Lobnek Wealth Management. The platform unifies multi custodial data, illiquid alternatives and complex legal entity structures into a single portfolio view, and layers analysis, reporting, financial planning, projection through Navigator, and a trading capability launched in late 2024 that replaced the rebalancing technology acquired with AdvisorPeak. The open platform integrates with roughly 650 software, data and consulting partners. Offices run through New York, Salt Lake City, London, Edinburgh, Geneva, Dubai, Pune and Sao Paulo, with about 250 staff across Europe and the Middle East, against annual research spending stated at over 150 million dollars. The artificial intelligence line has three shipped parts. Addison, launched in March 2026 and available to firms that opt in, is a native experience embedded in the platform that answers natural language questions about performance drivers, exposures and liquidity, understands portfolio structure, alternatives complexity and firm specific entitlements, and returns outputs the company describes as permission aware and traceable, tied directly to the underlying records. Alts Data Management applies machine learning with human verification to extract and normalise private markets data. Intelligent Statements converts unstructured financial statements into review ready files. The company states that Addison originated in research aimed at building a proprietary large language model trained on its own accumulated historical data, and it acquired the workflow automation startup Arcus in May 2025 and folded that capability in. Announced next steps are proactive insight delivery with market aware context and cited sources, plus agentic workflows across data operations, analytics, forecasting and reporting.

ARTBnk sells automated fine art valuation to the institutions that lend against, insure, hold or advise on art, including banks, insurers, wealth managers, family offices and estates, alongside collectors and art advisers. Its Real Time Valuation engine combines image recognition and machine learning with a curated and normalised auction database, using thousands of data points per work and drawing on comparable sales and an artist's market performance over time to produce an instant fair market value rather than a commissioned appraisal. The company was founded in 2017 in New Hampshire on the argument that art valuation is subjective, inconsistent and opaque, and that applying models to the inaccurate data prevalent across the art market would be irresponsible, so the standardised database is treated as the foundation of the product rather than an input to it. It also publishes art market indices and financial performance measures, has moved from a consumer product to an enterprise offering aimed at financial institutions, and its valuation methodology was developed with the academics behind a widely followed fine art index.

ForwardLane builds decision intelligence for wealth managers, asset managers, fund distributors and insurers, acting as a virtual analyst that reviews every client record daily, ranks and scores it, and surfaces next best actions telling an adviser which clients to contact, what to say and why. Its platform aggregates internal and external data across more than 300 sources, enriches it with proprietary natural language processing built for financial services, and delivers insights into the adviser's existing customer system rather than a separate tool. A generative layer launched in 2023 combines its own composite model with a zero-code visual insight generator, letting business users create insights from their own data in natural language without data science support. Data stays private and is not shared externally, a full audit log is produced, and the platform explains how each answer was derived. It can be white-labelled and deployed in the institution's own cloud.

HyperNorm AI builds decision intelligence for registered investment advisers, wealth managers and fund managers, analysing market events, modelling how they propagate through client portfolios, and recommending actions aligned to each client's investment mandate. Its architecture combines language model agent systems with symbolic AI and causal reasoning, chosen so that recommendations can be explained rather than only produced: the platform sets out why a recommendation is made and how specific market developments affect a given portfolio. Capabilities include research assistants answering at institutional depth, real-time market and macro signals mapped to holdings, prioritised alerts identifying which portfolios need intervention, goal monitoring for funding gaps, risk propagation analysis and what-if scenario simulation. Founded in 2024 in Bengaluru, it reports paying clients across the United States, Singapore and India.

MDOTM builds Sphere, a no code platform that puts analytical and generative models inside an institutional investor's own process rather than replacing it. It studies market regimes daily across market, fundamental and macroeconomic data to produce forward looking views by asset class, geography and sector, constructs and rebalances portfolios at scale against each institution's constraints, objectives and house views, and generates written portfolio commentaries and client reporting automatically. Buyers span banks, insurers, pension funds, family offices, wealth managers and asset managers across the United Kingdom, Europe and the United States.

Vise builds, manages and explains personalised investment portfolios on behalf of financial advisers and registered investment advisory firms, operating as a registered investment adviser itself rather than only as a software supplier. Its own nonlinear multi period optimiser constructs direct indexing and separately managed account portfolios that hold underlying securities rather than fund wrappers, personalised to each client's tax position, restrictions, values and concentrated holdings, then handles rebalancing, tax loss harvesting, trading and reporting continuously. A newer intelligence layer built on transformer models surfaces portfolio insights, suggests adjustments and drafts client correspondence for the adviser to review, and a customisable long short strategy was added at the end of 2025.