Data Work for the AI Era
Generate insights, apps & APIs from your data, through chat or code
Trusted by data users and teams at
What is Zerve
The Modern Development Environment For Data Work
Modern Development Environment For Data Work
From exploration to deployment, unified by Artificial Inteligence
The Agent Built For Data
Zerve's agent always understands the context of your code and data. It plans, executes and solves problems like a data expert.
AI Native Notebook
Stable, multi-language and reproducible, Zerve's notebook runs in parallel, integrates with Git, and powers real-time collaboration.
Deployments
Publish your analysis as an app, API, or scheduled job, without refactoring. The agent handles configuration and reproducibility.
The Power To Run Anywhere
Run on Zerve’s managed cloud or self-host securely in your own infrastructure.Select Lambda, Fargate, GPU or Kubernetes execution per cell.Configure and version project dependencies for consistent, reproducible execution anywhere.Insights
Generate insights through chat in seconds. Explore, visualize, and explain data with AI built for analysis.
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APIs
Deploy secure, scalable API endpoints for models, logic and pipelines. No setup or YAML required.
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Apps
Turn notebooks into interactive apps and dashboards Instantly deployed, no extra configuration needed.
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Schedule
Create and automate recurring jobs to refresh data, retrain models, or trigger workflows on schedule.
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User Voices
Zerve in Their Words
Zerve in Their Words
Real stories from people using Zerve every day
Zerve feels different because it was built for data scientists from the ground up. It understands context, adapts as you work, and lets you iterate without crashes or lost work.
Gen AI Lead at AWS
Zerve finally feels like the cursor for data scientists. It understands that schemas live in your files, not in your head.
Founder/CEO at AlphaSignal
I gave it a churn analysis task and it pulled data, handled missing values, ran segmentation, and scheduled the workflow automatically using context from my past work.
AI Engineer at Stealth
We were working with a 4.3 billion-row dataset, and a high-end notebook instance could only handle 18 million-rows at a time without going out of memory due to the nature of preprocessing to be done on the data. That meant running the same call 24 times in a row. With Zerve, we could run all 24 in parallel. That shift alone saved us a huge amount of time and let us move faster on model development.
Head of Data Science at Sun King
The Zerve agent has transformed our data science workflow. Backlogs are vanishing and we're experimenting faster than ever.
Founder/CEO at Ascendr.org
As we advance our AI and Data standardization initiatives, Zerve provides the robust foundation we need to scale with confidence and be a force multiplier for meaningful outcomes.
Director of Data at Cubic
The Cursor for Data Science is here.
Data & AI Lead at DataBricks
Zerve represents a step-change for data science development.
Former EVP of Engineering at DataRobot
Zerve's Agentic code assistance is easily among the best I've seen
Technologist at HPE
I used Zerve AI, and it honestly felt like a cheat code for data science.
I use other AI when the answer already exists and I need to surface it. I use Zerve when the answer doesn't yet exist so I need to build it.
Applied AI Consultant at Commercial Outcomes