Addepar Expands AI Capabilities Across Investment Workflows

May 22, 2026
Addepar announced new AI, data, and workflow automation features at its annual AddeConf26 conference, extending its platform’s intelligence across analytics, operations, and client engagement.
Addepar Expands AI Capabilities Across Investment Workflows

Addepar announced in a press release new AI, data, and workflow automation capabilities at AddeConf26, its annual innovation conference held in New York. The updates build on the earlier launch of Addison, the company’s AI experience, and aim to embed artificial intelligence deeper into investment operations and client workflows.

Addepar previewed new AI agents designed to support daily investment tasks by identifying and resolving data issues more efficiently. Enhancements to Addison include expanded access to private markets data, improved visualizations, and additional partner integrations for richer portfolio insights and risk analysis.

The company also introduced new connectivity features for its Addepar Data Exchange, strengthening integration between its data, analytics, and AI layers. New APIs and links to CRM, cloud data, and business intelligence systems help unify and govern information across technology environments.

Additional updates focus on private markets and client engagement. Addepar unveiled new tools for analyzing private fund holdings, pacing analysis, and capital activity tracking. Client experience improvements include expanded white label mobile options, secure messaging, and enhanced reporting templates integrated with Addison’s AI capabilities.

Today, Addepar serves more than 1,400 firms globally that manage and advise on over 9 trillion dollars in assets.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.