SOLUTIONS
Empower teams with
AI optimization
Augment your engineering team’s capabilities, save time,
and boost job satisfaction with intelligent, scalable Databricks
compute optimization

AI that saves engineers time
Unburden your engineers from manual cluster optimization and save 10 hours
per data engineer a week
Effortless
cost savings
Address concerns about compute high costs without diverting engineers from product development. Let Gradient do all of the heavy lifting and recommend the right actions for the team to take to cut costs, or even auto-apply them.

Boost happiness
and productivity
Free engineers from the tedious, frustrating process of manual cluster tuning. Gradient’s ML models are fine-tuned to your workloads, so the recommendations are bound to move the needle.

One engineer,
thousands of Jobs
Empower a single engineer to optimize thousands of Databricks jobs simultaneously with little to no effort. Achieve unprecedented efficiency and scale with Gradient’s AI-driven compute optimization.

Complex
data pipelines
No pipeline is complex. Gradient can help cut costs while obeying SLAs. Even if: you have cyclic data, seasonal changes, unknown data sizes, jobs running on multiple clusters simultaneously, or other intricate data pipelines.

Customized
co-pilot/autopilot
Provide your team with custom tailored, AI-driven recommendations. Engineers can choose whether to review and implement optimizations with a click to maintain control while saving time, or fully automate the process.

Continuous learning
and Improvements
Guided learning. Gradient provides detailed recommendations and optimization audit logs with explanations to help engineers understand the reasoning and impact of each optimization, enhancing their skills over time.

Works with what you have
Gradient works with Databricks, Azure, AWS, Azure Datafactory, and Airflow out of the box. Additional integrations are coming soon, and you can build your own using our robust REST APIs.

Reliable and secure
Gradient is SOC 2 type II compliant and makes absolutely no changes to your code. Gradient only controls your jobs’ compute configuration – there’s no risk to your data or business logic.

Key
benefits:
Happier engineers, lower compute costs, and continuous improvements to your compute infrastructure.

Optimizations without
the headache

Better than
serverless

Unprecedented scalability

Level up
engineers

Extensible
and secure

I’d be surprised if there was any data team on the planet that wouldn’t save money and time from using Gradient.
Jesse Lancaster, CTO, Forma.ai
Explore additional
use cases
Get started today
Happier engineers, increased productivity, and reduced commute costs with AI-driven cluster optimization