Datalign Advisory, a lead generation and growth support platform located in Cambridge, Massachusetts, is set to open its agentic AI platform, Halo, to advisory firms of all sizes. This initiative allows firms to create and deploy custom, client-facing AI agents tailored to their investment philosophy, proprietary content, and client data within a built-in compliance framework.
Founded in 2022, the SEC-registered company claims to have referred $80 billion in assets to date. Datalign is staffed by a team that includes numerous MIT-educated engineers and developers with backgrounds in Silicon Valley, having previously worked at major corporations like Amazon and Google.
The Halo platform offers firms the capability to deploy AI agents that enhance advisor-client relationships by delivering the firm’s expertise and methodology while maintaining compliance with SEC regulations in the finance and insurance sectors. CEO Satayan Mahajan noted that the compliance framework has been under development for two years, emphasizing its importance in a rapidly evolving technological landscape.
Reflecting on the state of compliance in the industry, Mahajan pointed out that many firms, both third-party AI providers and registered investment advisors (RIAs), are hastily implementing agentic technology without fully grasping the compliance implications. “Some people are just not thinking it through, while others don’t realize just how much work it can be for them to connect all these parts of their tech stack,” he said.
The announcement comes as financial services firms are increasingly pressured to modernize, particularly after Altruist introduced an AI-powered tax planning tool in September, which contributed to declines in share prices for major firms like Schwab and LPL.
Datalign’s Halo differs from generic large language models; its agents are specifically designed for regulated financial services. Each agent utilizes a firm’s knowledge base and retrieves relevant materials during client interactions, ensuring full source attribution and confidence scoring. Mahajan described the agents as performing tasks traditionally done by office staff while having the capability to personalize interactions using a firm’s own data.
The range of tasks these agents can perform is extensive, including functions such as firm profile builders, tax calculation tools, and growth projection aids. All agent responses undergo a multi-layered compliance review before being delivered to clients or advisors, designed to meet or exceed the current SEC requirements concerning AI in financial products.
“These aren’t back-office tools the AI uses on the client’s behalf—they’re the same tools the client interacts with directly,” said Lucas Seibert, technical lead at Datalign Advisory. While the platform is accessible to firms of all sizes, Mahajan indicated that larger advisory firms, particularly those managing between $3 billion to over $50 billion in assets under management (AUM), are likely to benefit the most from its deployment due to their resources and need for customization.
“Most of the firms we work with do not have the technical staff to implement these types of frameworks entirely on their own,” Mahajan stated, noting that larger firms often have the largest budgets to invest in such technologies. Datalign also welcomes smaller advisors and has engaged thousands of consumers through various lead-generation partnerships with organizations such as Forbes and U.S. News & World Report.
Although many larger RIAs are already utilizing Datalign’s platform, they often do so on a white-label basis, preventing the company from disclosing their identities. However, exceptions include the $10.9 billion AUM Modern Wealth Management and the RIA investor group Accelerated Wealth Partners, led by Eric Amar, the former chief growth officer of Focus Financial. Amar referred to Datalign’s ability to create custom AI agents based on a firm’s investment thesis as “a game changer.”
Datalign does not publicly disclose its pricing, which varies considerably based on the level of customization required by client firms. In January, the company announced the beta launch of its Relationship AI, currently utilized by select clients, while others can join a waitlist. This functionality aims to highlight key financial indicators and streamline briefing materials for advisors, designed for quick scannability.
In February 2025, Datalign received an additional $5 million investment from Link Ventures, bringing the venture firm’s total investment in the startup to $9 million, underscoring growing interest in AI solutions tailored to the financial services sector.
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