Agentic Optimization for Autonomous Data Cloud Efficiency
Automatically Unlock Data Cloud Efficiency
Keebo continuously optimizes Snowflake and Databricks warehouses and workloads to maximize compute efficiency, deliver predictable performance, and accelerate engineering velocity.
Engineered for Business Impact
Most tools stop at visibility and reporting. Keebo turns optimization into an
autonomous system with agentic AI and workload intelligence.
5
Layers of Performance Protection
27%
Average Cost Savings
100+
Engineering Hours Reclaimed Monthly
Engineered for Business Impact
Most tools stop at visibility and reporting. Keebo uses agentic AI to automate optimization, with workload intelligence as a bonus.
5
Layers of Performance Protection
27%
Average Verified Cost Savings
100+
Hours Reclaimed Monthly
Fund Innovation.
Minimize Operational Overhead.
Agentic AI
Autonomous Cloud Data Warehouse Optimization
Real-time warehouse tuning that maximizes performance and efficiency without manual intervention, query rewriting, or SLA risk.
Data Platform Observability and Reporting
Full visibility into query behavior, bottlenecks, and inefficiencies to surface optimization opportunities and align data and FinOps teams.
Accelerate Innovation.
Minimize Operational Overhead.
Agentic AI
Autonomous Cloud Data Warehouse Optimization
Real-time warehouse tuning that maximizes performance and efficiency without manual intervention, query rewriting, or SLA risk.
Data Platform Observability and Reporting
Full visibility into query behavior, bottlenecks, and inefficiencies to surface optimization opportunities and align data and FinOps teams.
Three Architectures, One Clear Winner
Even among autonomous solutions, architecture matters. Inline approaches sit directly in the execution path, adding complexity and potential risk. Out-of-band platforms operate independently, enabling continuous optimization without becoming a dependency for production workloads.
Inline Rewrite / SDK
Lives inside your application’s query path
Sees and modifies your SQL text
Adds rewrite latency
Requires code changes or SDK work
Connection Proxy
Single point of failure for all traffic
Sees query text and result data
Network hop adds latency
Every connection must be repointed
Keebo: Metadata Only
Operates outside the query path
Never sees query text or result data
Zero added latency
No code changes required
Three Architectures, One Clear Winner
Even among autonomous solutions, architecture matters. Inline approaches sit directly in the execution path, adding complexity and potential risk. Out-of-band platforms operate independently, enabling continuous optimization without becoming a dependency for production workloads.
Inline Rewrite / SDK
Lives inside your application’s query path
Sees and modifies your SQL text
Adds rewrite latency
Requires code changes or SDK work
Connection Proxy
Single point of failure for all traffic
Sees query text and result data
Network hop adds latency
Every connection must be repointed
Keebo: Metadata Only
Operates outside the query path
Never sees query text or result data
Zero added latency
No code changes required
Trusted by Modern Data Teams
“We’ve seen 50% to 70% savings on our customer engagement application usage. Without Keebo, the cost of this particular product would be unsustainable.”
Nick Booth
Head of Backend Engineering
“Keebo’s automated optimizations have been a huge win for us. We saw a 50% reduction while empowering our team to focus on delivering value to our customers.”
Matt Browning
AVP of International & Business Services
“With Keebo, I log in for a few minutes every few weeks just to see what Keebo is saving us. Before Keebo, I spent hours on manual optimizations every week.”
Trish Pham
Head of Analytics
“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.”
Joe Wilson
CTO
“We’ve seen 15% in Snowflake savings, plus huge time savings for our engineers. Keebo gives us confidence that we’re running efficiently and lets each team manage their footprint with visibility and autonomy.”
Michael Theodoulou
Data Technology Principal
“Keebo takes care of the cost savings our CFO cares about, and allows me to spend time on what’s most valuable.”
Erik Jones
Head of BI and Analytics
Trusted by Modern Data Teams
“We’ve seen 50% to 70% savings on our customer engagement application usage. Without Keebo, the cost of this particular product would be unsustainable.”
Nick Booth
Head of Backend Engineering
“Keebo’s automated optimizations have been a huge win for us. We saw a 50% reduction while empowering our team to focus on delivering value to our customers.”
Matt Browning
AVP of International & Business Services
“With Keebo, I log in for a few minutes every few weeks just to see what Keebo is saving us. Before Keebo, I spent hours on manual optimizations every week.”
Trish Pham
Head of Analytics
Frequently Asked Questions
Keebo is an autonomous cloud data warehouse optimization company built on patented Data Learning technology. Its product suite continuously optimizes query performance, warehouse efficiency, and cost across Snowflake and Databricks, without code changes or disruption to existing tools.
Keebo continuously and autonomously rightsizes your data warehouses, holding SLA-compliant performance while removing wasted compute. Keebo also autonomously tunes data platform compute across multiple optimization levers, including warehouse sizing and auto-suspend, based on real workload behavior. The result is cost savings, faster analytics, and engineering time reclaimed from manual tuning.
Keebo works with Snowflake and Databricks, the modern data cloud platforms where its customers run high-volume analytics workloads.
Cloud data warehouses are routinely over-provisioned, and keeping them efficient through manual tuning is slow, inconsistent, and hard to scale. Keebo closes that gap with continuous, autonomous optimization that protects performance while cutting waste.
Keebo is built for data engineering, platform, and FinOps teams responsible for the performance and cost of Snowflake or Databricks. It serves both the engineers who operate the warehouse and the finance leaders accountable for its spend.
Frequently Asked Questions
Keebo is an autonomous cloud data warehouse optimization company built on patented Data Learning technology. Its product suite continuously optimizes query performance, warehouse efficiency, and cost across Snowflake and Databricks, without code changes or disruption to existing tools.
Keebo continuously and autonomously rightsizes your data warehouses, holding SLA-compliant performance while removing wasted compute. Keebo also autonomously tunes data platform compute across multiple optimization levers, including warehouse sizing and auto-suspend, based on real workload behavior. The result is cost savings, faster analytics, and engineering time reclaimed from manual tuning.
Keebo works with Snowflake and Databricks, the modern data cloud platforms where its customers run high-volume analytics workloads.
Cloud data warehouses are routinely over-provisioned, and keeping them efficient through manual tuning is slow, inconsistent, and hard to scale. Keebo closes that gap with continuous, autonomous optimization that protects performance while cutting waste.
Keebo is built for data engineering, platform, and FinOps teams responsible for the performance and cost of Snowflake or Databricks. It serves both the engineers who operate the warehouse and the finance leaders accountable for its spend.