Zerve
Zerve is an AI platform for research and analytics. Build, analyze, and deploy data pipelines with AI agents that learn your data and context.
Reviewed by Mathijs Bronsdijk · Updated Apr 13, 2026

What is Zerve?
Zerve is an AI platform for research and analytics that combines agentic notebooks, data discovery, conversational reports, and production deployments in a single workspace. It is built for data scientists, business analysts, and anyone who works regularly with data with an AI agent that learns your data, your code, and your context over time. The platform supports Python, SQL, R, and GraphQL and is accessible across a range of technical backgrounds. Zerve was selected as the NCAA's agentic data platform for the 2026 Hackathon, which points to its suitability for both competitive and professional analytical environments.
Key Features
- Agentic Notebooks: AI-powered notebooks that let users build and run data analyses with an agent working alongside them, handling tasks and adapting to the project context.
- Data Discovery: Tools to explore and understand data at scale, helping teams get oriented with unfamiliar datasets quickly.
- Conversational Reports: Publish and share living, interactive reports that can be queried and updated through conversation rather than static exports.
- Deployments: Convert analyses into production-grade pipelines without leaving the platform, supporting scheduled jobs and app deployments.
- Multi-language Support: Work across Python, SQL, R, and GraphQL within the same environment, reducing the need to switch between tools.
- Adaptive AI Collaborator: An AI agent that builds context across your projects, learning your data and code to improve its assistance over time.
- API Builder: Create and deploy APIs directly from within the platform, available on all tiers including Free.
Use Cases
- Data Scientists working on ML projects: Use Zerve's agentic notebooks and GPU compute (Pro and above) to run machine learning analyses, with an AI agent handling repetitive coding tasks and maintaining project context across sessions.
- Business Analysts generating reports: Connect business data to Zerve and produce conversational, interactive reports that stakeholders can query directly, supporting more data-driven decision-making without requiring a separate reporting tool.
- Teams running scheduled data pipelines: Use the Deployments feature to turn one-off analyses into automated, scheduled jobs that run at production grade, available on Pro and Team plans.
Strengths and Weaknesses
Strengths:
- AI agents are reported by users to be intuitive and productivity-enhancing, based on 142 reviews on G2 with a 4.5 rating.
- The Free tier includes a meaningful feature set, covering the Zerve Agent, parallel compute (Fleet), API builder, app deployments, and up to 4 editors.
- Multi-language support across Python, SQL, R, and GraphQL within a single platform reduces tool-switching for technical teams.
- The platform spans the full data workflow from discovery through to production deployment, keeping work in one place.
Weaknesses:
- Some users find the pricing structure complex to navigate.
- The Free tier has noticeably fewer Zerve credits (50 per month) compared to paid plans, which limits how much agent work can be done before upgrading.
- New users report a learning curve when getting started with the platform.
Pricing
- Free: $0/forever, includes Zerve Agent, 50 Zerve credits per month, Fleet (parallel compute), reusable environments, API builder and deployments, unlimited public projects, app builder and deployments, up to 4 editors.
- Pro: $18.75/month, includes everything in Free plus 250 Zerve credits per month, add-on credits in batches of 250 for $25, scheduled jobs, self-hosting, private projects, watermark-free images, GPU compute, and unlimited editors.
- Team: $37.50/month, includes everything in Pro plus 500 Zerve credits per month, add-on credits in batches of 500 for $50.
Note: At the time of research, Zerve was running a promotional offer of 3 months free on annual plans or 1 month free on Pro monthly. Check the pricing page for current offers.
FAQ
What happened to the company Zerve?
Zerve is an active AI platform for research and analytics. It was selected as the NCAA's agentic data platform for the 2026 Hackathon, indicating it is currently operational.
What type of business is Zerve?
Zerve is an AI platform built for data scientists, business analysts, and others who work regularly with data. It provides tools for agentic notebooks, data discovery, conversational reports, and production deployments in a single workspace.
Is Zerve AI free?
Zerve offers a Free tier that includes the Zerve Agent, parallel compute (Fleet), API builder, app deployments, and support for up to 4 editors. More advanced features such as GPU compute and scheduled deployments are available on Pro and Team plans.
What languages does Zerve support?
Zerve supports Python, SQL, R, and GraphQL within a single environment, reducing the need to switch between tools.
What are alternatives to Zerve?
The provided information does not include a list of alternatives to Zerve. Zerve's feature set spans agentic notebooks, multi-language support, and production deployments, which may help users evaluate comparable tools independently.
What can data scientists use Zerve for?
Data scientists can use Zerve's agentic notebooks and GPU compute, available on Pro and above, to run machine learning analyses. The AI agent handles repetitive coding tasks and maintains project context across sessions.
What can business analysts use Zerve for?
Business analysts can connect business data to Zerve and produce conversational, interactive reports that stakeholders can query directly. This supports data-driven decision-making without requiring a separate reporting tool.
Can Zerve run automated data pipelines?
Yes, the Deployments feature allows users to convert analyses into scheduled, production-grade jobs. This functionality is available on Pro and Team plans.
How do users rate Zerve?
Zerve has a 4.5 rating on G2 based on 142 reviews. Users report the AI agents are intuitive and productivity-enhancing.
Can teams collaborate in Zerve?
The Free tier supports up to 4 editors, indicating built-in support for team collaboration. Higher-tier plans are available for larger teams.
Does Zerve require advanced technical knowledge?
Zerve is described as accessible across a range of technical backgrounds. It is designed for both data scientists and business analysts.
Can Zerve be used in competitive analytical environments?
Zerve was selected as the NCAA's agentic data platform for the 2026 Hackathon, indicating it is suited for competitive analytical environments.
Does Zerve include API capabilities?
Zerve includes an API Builder that allows users to create and deploy APIs directly from within the platform. This feature is available on all tiers, including Free.