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Marloo raises $10m seed led by Blackbird Ventures

By Aarav Garg

Today

  • Digital Banking
  • Digital Payments
  • Digital Transformation
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Marloo, an AI platform for financial advisers, has raised $10 million in seed funding led by Blackbird Ventures, which also participated in the company’s earlier pre-seed round. The latest raise brings Marloo’s total funding to $12.7 million within a year.

Marloo is building software designed to help advisers reduce administrative workloads and improve productivity. Its platform automates tasks including meeting note-taking, documentation and compliance processes, allowing advisers to spend more time with clients and focus on advice delivery.

The company also said its technology can identify opportunities that may otherwise be missed because of time pressures or disconnected data, using broader context across client relationships to surface relevant next steps over time.

Financial advice remains a people-led service, but firms continue to face pressure to scale efficiently while managing growing compliance obligations. Many advisers still rely on fragmented systems and manual processes that can limit capacity and increase operational costs. As a result, wealth management and advisory businesses have become an active area for AI investment focused on workflow automation rather than replacing human advisers.

Marloo said its platform has been developed with direct industry input, with members of its team having previously worked as financial advisers. The company said this experience has helped shape tools that better reflect how advisory work is carried out in practice.

The new funding will be used to expand Marloo’s presence in the UK and Australia, where it said adoption is increasing, and to support entry into the US market. The capital will also help accelerate development of a broader product suite.

Marloo said its longer-term goal is to become a core operating platform for advisory firms, combining automation, workflow support and intelligence tools in a single system as the sector increases investment in AI-enabled productivity.

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