Kashmiran AI-driven prospecting and lead generation platform for financial advisors, has raised $3.6 million in seed funding.
The round was led by Canapi Ventures, with participation from Benchstrength, Plug and Play, The House Fund, Courtyard Ventures and several angel backers.
According to the announcement, Canapi Ventures will act as a board observer and provide strategic guidance as Cashmere expands its operations.
The company also announced the hiring of Sean Cheng, who has a PhD from Harvard in Applied Physics, as head of machine learning. Cheng joins co-founders Farbod Nowzad and Eshan Govil and a small team of engineers.
Nowzad previously founded social audio platform Pludo and held data science roles at several other startups, including Lime, before working at Cashmere, according to his LinkedIn profile. Govil is a former machine learning engineer from Goldman Sachs.
Cashmere shares some similarities with lead generation research and technology platforms Finny AND Identified. All three technologies tap into multiple publicly available data repositories and apply algorithms to match advisor data from client advisory firms with potential leads and prospects.
As is the case with Finny, Cashmere can also create personalized contacts on behalf of advisers.
Kashmiri has integrations with customer relationship management providers Salesforce, Redtail, Wealthbox, Hubspot, and Microsoft 365, as well as several popular email and email management providers.