Teams can use Dot as an AI data analyst to ask questions, generate SQL and charts, and produce reports through Slack or Teams.
Zerve
Zerve supports research and analytics workflows, with AI agents for data discovery, analysis, reports and production deployment.
About Zerve
Zerve is a platform for research and analytics that combines an AI agent, data discovery, notebooks, reports, and deployments. Users connect data, ask questions, and work with SQL and Python alongside the agent, with live results and visualisations.
It maps schema, lineage, and quality for analysis context, produces reports that stay in sync with data, and moves trained models to live endpoints. Deployment options include on-prem, VPC, or Zerve-managed cloud, including air-gapped setups where needed.
Key features
- AI agent for data exploration using schema and prior work context
- Data discovery mapping schema, lineage, and quality
- Agentic notebooks with Python, SQL, and live results
- Auto-generated reports that stay in sync with data
- One-step deployment of models to live endpoints
- Deployment options including on-prem, VPC, or managed cloud
Best for: Data scientists, analysts, and researchers who need to move from data exploration to reports and deployed models.
Good for
- Covers discovery, notebooks, reports, and deployments in one workflow
- Agent explores data and runs, fixes, and reruns code
- Offers on-prem, VPC, managed cloud, and air-gapped deployment options
Zerve at a glance
- Website
- zerve.ai
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Open source
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Zerve FAQ
Where can Zerve be deployed?
On-prem, in your VPC, or in Zerve-managed cloud, with air-gapped setups where needed.
What does the workflow cover?
Discovery, notebooks, reports, and deployments in one place, from initial question to shared result.
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