Chalice AI Increases Snowflake Compute by 21% for the Same Spend
Challenges
500% increase in Snowflake usage from 2022 to 2024 required new attention to cost efficiency
Optimizations were essential and needed to enhance rather than compromise performance
Small team required a solution that would not require excessive effort to operate
Chalice AI helps clients optimize their programmatic advertising campaigns around specific goals & targets (i.e. store sales, customer acquisition cost) through artificial intelligence and machine learning. These efforts require extensive data and compute resources. As Chalice Ai grew, their need to increase their Snowflake compute also grew. However, by implementing Keebo’s AI-powered warehouse optimizations, Chalice AI was able to continue increasing their Snowflake compute, without increasing costs.
Rapid Growth Requiring Increased Cost Efficiency
To optimize their clients’ programmatic advertising campaigns, Chalice AI compiles, aggregates, and transforms massive datasets from a wide variety of platforms. Many of these data are category-specific, with high value for one vertical and none for others. Snowflake is critical for managing such large, diverse datasets.
As Chalice AI grew, however, their data usage increased exponentially. From 2022 to 2024, their Snowflake usage grew by 500%. Chalice AI found the workload of manually optimizing their Snowflake warehouses not only overwhelming for their small team, but diverting resources from pursuing other opportunities to grow the business and better serve customers.
Keebo Customer Story
About Chalice AI
Chalice is an AI-powered programmatic advertising solution that optimizes campaign performance.
Industry
Advertising Services
Headquarters
New York, New York, United States
Data Cloud Platform
Snowflake
Environment
50+ active Snowflake warehouses used for both individual client request and internal use 1,000+ average daily queries
Key Benefits
Increased Snowflake compute by 21% without increasing costs
Reduced resource consumption by 15,000 Snowflake credits YTD
Realized opportunities through data team time savings
500% increase in Snowflake usage from 2022 to 2024 required new attention to cost efficiency
Optimizations were essential and needed to enhance rather than compromise performance
Small team required a solution that would not require excessive effort to operate
Chalice AI helps clients optimize their programmatic advertising campaigns around specific goals & targets (i.e. store sales, customer acquisition cost) through artificial intelligence and machine learning. These efforts require extensive data and compute resources. As Chalice Ai grew, their need to increase their Snowflake compute also grew. However, by implementing Keebo’s AI-powered warehouse optimizations, Chalice AI was able to continue increasing their Snowflake compute, without increasing costs.
Rapid Growth Requiring Increased Cost Efficiency
To optimize their clients’ programmatic advertising campaigns, Chalice AI compiles, aggregates, and transforms massive datasets from a wide variety of platforms. Many of these data are category-specific, with high value for one vertical and none for others. Snowflake is critical for managing such large, diverse datasets.
As Chalice AI grew, however, their data usage increased exponentially. From 2022 to 2024, their Snowflake usage grew by 500%. Chalice AI found the workload of manually optimizing their Snowflake warehouses not only overwhelming for their small team, but diverting resources from pursuing other opportunities to grow the business and better serve customers.
Pricing Structure Fostering Aligned Incentives
When presented with Keebo as an automated warehouse optimization solution, the Chalice AI team jumped at the opportunity. A key point in their decision making was the cost structure, that Keebo is priced as a percentage of Snowflake cost savings. “I looked at it as free money,” said Joe Wilson, Chalice AI CTO. “We pay Keebo X and save 2.5X. It’s a no-brainer—why wouldn’t we do that?”
No Negative Impact on Performance
In addition to the pricing structure, two other factors made Keebo a no-brainer for Chalice. First, their optimizations had no negative impact on performance. Second, it required few internal resources to manage, which meant their savings was a true net positive.
“Our three considerations were: Does [Keebo] cost less than the money we’ll save? Does it impact query performance? And does it take a lot of manpower to maintain? And the answer to all three was exactly where we wanted them to be.”
