Addepar launches data exchange on Databricks for AI

Addepar has launched Addepar Data Exchange, or ADX, a managed data environment built on Databricks.

The product targets investors, banks and wealth firms that need to bring together data from multiple systems for investment workflows, analytics and artificial intelligence tools.

ADX sits within Addepar's platform and is designed to let firms ingest and synchronise investment data across different applications and infrastructure. It creates a permissioned data layer intended to provide a shared source of truth while maintaining links to existing systems.

The launch is the latest step in Addepar's effort to extend the data architecture behind its own platform to client organisations. According to the company, that architecture supports more than $9 trillion in assets and has been rebuilt over several years to handle larger-scale data processing and AI-related workloads.

For financial firms, the pitch is that cleaner, more consistent data can support a wider range of operational tasks. ADX can be used for proposal generation, reconciliation, asset allocation modelling and market data integrations, replacing fragmented workflows with a more connected data structure.

Addepar also linked the launch to growing pressure on firms to make practical use of AI. In its view, the main barrier is often not the model itself but the quality of the data underlying investment and client workflows.

Bob Pisani, Addepar's chief technology officer, outlined that position when discussing the launch.

"Our clients' success depends on their ability to transform data into a clear strategic advantage across their business," Pisani said.

He said the new product is intended to play a central role in that effort.

"ADX is a cornerstone of that vision, extending the foundation we've built at Addepar so AI can be deeply embedded across the organization and drive operational leverage," he said.

AI links

ADX also broadens the data available to Addison, Addepar's in-house AI product. Access to a wider unified dataset should allow Addison to generate outputs with more context and traceability, based on a fuller view of a client's business data.

That connection matters because many wealth and investment firms are trying to move AI from small internal tests into day-to-day use across advisory, reporting and portfolio processes. A managed data environment offers a way to connect internal records, market information and workflow systems without requiring each firm to assemble and maintain the full data stack on its own.

Firms using ADX will also be able to apply their own analytical models and logic alongside Addison, which could support more tailored automated workflows.

Market reach

Addepar describes itself as a data and AI platform for investment professionals and says more than 1,400 firms in 60 countries use its software to manage and advise on more than $9 trillion in assets. The platform also integrates with nearly 650 software, data and consulting partners.

That footprint gives Addepar a base from which to sell a broader data layer into existing customer accounts, particularly as wealth managers, private banks and other financial institutions examine how to organise data for AI use without rebuilding their current systems.

The arrival of ADX shows how financial technology vendors are increasingly framing data management as both an AI and an operational issue. In this market, the ability to unify, govern and move data across systems is becoming part of the competition for workflow budgets from firms seeking clearer audit trails and more reliable outputs from automated tools.

ADX is intended to serve as the connective layer between Addepar's platform and other enterprise environments, enabling large-scale data movement, modern pipelines and integration across a firm's wider technology estate.