Seattle startup Falkon, which uses AI to drive sales and marketing decisions, raises $16M

Falkon uses API connections to pull data from all major go-to-market data sources including Salesforce, Outreach and Google Analytics, among others. Co-founder and CEO Mona Akmal told GeekWire that it can also connect to customer data warehouses like Amazon Redshift and Microsoft’s Azure. It then uses this data to create data-driven recommendations for sales and marketing teams using AI.

Falkon’s user interface. (Falkon Image)
The team: The company was founded in late 2019 by a trio of tech vets. Akmal was a 12-year Microsoft leader who was most recently head of product at Seattle startup Amperity. She also held executive engineering roles at Code.org and Zulily. The other co-founders are Aakash Kambuj, another former Microsoft engineering leader who previously spent six years at Dropbox, and Josh Zana, a veteran of Dropbox, Amazon and Microsoft. The company currently has 20 employees and will use some of its funding to grow to a workforce of 30 by the end of the year.

The customers: The startup currently has 15 customers and will use some of its funding to grow in size. The costs range from free to $100,000 depending on the modules a customer purchases and the size of their team and book of business.

The competition: Falkon’s biggest competitors are in-house Salesforce and Tableau reports. “We think that barely scratches the surface of what data can do,” Akmal said about the competition. “The real power of data resides in making daily actionable insights available to front-line teams and automating their workflows.”

The funders: This round was led by OMERS Ventures, with participation from Greylock Partners, Trilogy Financial, Flying Fish and Madera Partners. The startup has raised a total of $20 million since its founding. It did not reveal its current valuation.