Trusted by data users and teams at
You're the team's query engine. But that's not the job you signed up for.
Same stakeholder questions, every single week
Analyses that get re-run instead of reused
Hours lost reformatting outputs into slides
Follow-up questions that restart the whole process
Stuck doing extraction when you should be doing interpretation
Zerve automates the repetitive cycle so you can do the work that actually matters.
Repetitive analysis runs itself
Weekly KPI refreshes, cohort recalculations, anomaly detection, variance explanations.
- Scheduled KPI refresh
- Automated cohort analysis
- Anomaly detection
- Variance explanations
Decision-ready output, not data dumps
Conclusion first, assumptions stated, uncertainty noted.
Follow-ups extend the system, not restart it
Extend existing workflow keeping context and consistency.
Definitions that don't drift
Active user, churn, qualified lead live in structured workflows.
Move up the value chain
Less pulling, more explaining implications and influencing decisions.
Why data scientists choose Zerve
Why data scientists choose Zerve
Real stories from teams building with 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