Web Analytics

3 Latest Announced Rounds

  • $10,500,000
    Unknown

    3 Investors

    HVAC and Refrigeration Equipment Manufacturing
    Nov 5th, 2024
  • $4,000,000
    Series A
    Financial Services
    Nov 5th, 2024
  • $5,667,883
    Unknown

    2 Investors

    Software Development
    Nov 5th, 2024
$1,421.68M Raised in 72 Funding Rounds in the past 7 Days - View All

Funding Round Profile

Cascade AI

start up
United States - Bellevue, Washington
  • 25/10/2024
  • Seed
  • $3,750,000

Cascade AI scales HR's ability to provide personalized support with the most powerful AI assistant built to address employees’ human resources and benefits questions. It was founded to bring enterprise-level efficiencies to employee benefits, where great innovation is emerging at the same time cost and complexity are spiraling out of control.

Cascade AI now supports human resource functions across benefits, Total Rewards, employee onboarding and offboarding, open enrollment, and more. Now, HR functions can support more employees faster; free up time to manage the dynamism and complexity of local and global business initiatives; and increase productivity and employee satisfaction to drive growth.

Real-world successes so far include:

+ Free up HR time: Customers expect 50% of their existing HR inquiry ticketing volume will be immediately addressed by using Cascade AI, with up to 85% possible as users adopt it.

+ Employees turn to AI for complex, private questions: Employees are asking Cascade AI about sensitive benefits topics they wouldn’t ask of managers, like mental health, career coaching, family leave and weight loss support

+ First-Line HR Resource: Customers with complex business structures and diverse teams saw such positive employee uptake they’re making Cascade AI the tier one resource for all HR inquiries globally, creating an efficient support path that didn’t exist before.

+ Rapid Implementation: Building the AI assistant takes just hours, and collaborating with HR teams to launch the trained AI for employees can take as little as 14 days.


Related People

Ana-Maria ConstantinFounder

Ana-Maria Constantin United States - Greater Seattle Area

I am a Software Engineer at Microsoft working in the Azure Compute Efficiency team, and a graduate from Harvard University '16 in Computer Science and Astrophysics. My current role lies at the intersection of cloud computing and machine learning, with a focus on taking intelligent, data-driven decisions for efficient resource utilization.