The fastest way to develop data science
Built for data science. Made for iteration.
AgentContext-aware AI that continuously adapts and iterates
Zerve’s agent understands your data, workflows and compute environment - learning at every stage to help you explore, iterate and scale faster.
Prompt
Generates and modifies multi-step workflows from natural language.
Connect
Automatically links code blocks, detects data structure and sets parameters
Adapt
Recognizes your project’s patterns for more relevant, personalized suggestions
Extend
Works seamlessly with your existing tools, APIs and data sources
Optimize
Debugs and tunes workflows with full context across Python, R, SQL, GraphQL and GenAI
CanvasA visual, version-controlled workspace
Replace brittle notebooks with a compute-aware canvas based DAG that’s multi-language, easy to learn and built for constant iteration.
Build
Drag and drop blocks for Python, R, SQL, GenAI and more
Control
Access full IDE features for editing and developer-level flexibility
Link
Pass different data types automatically between code blocks
Track
Maintain built-in version history with any major Git based provider
Trace
Visualize execution flow and data lineage
Collaboration
Develop together sync or async in a stable environment
OrchestrateReliable, scalable execution
Zerve’s compute engine handles infra configuration and orchestration so you can focus on experimentation.
Select
Choose runtime per block
Scale
Parallelize workloads, aggregate results seamlessly in a fraction of the time
Recover
Ensure reliability with fault tolerance and automatic retries
Monitor
Track usage and optimize compute spend
Combine
Run serverless and containerized compute in one workflow
Hosting
Self-host on AWS, Azure, GCP, and hybrid environments or on our SaaS