Train AI agents in realistic, managed environments for complex tasks
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TL;DR - Klavis AI
- Provides live, realistic environments for training AI agents.
- Enables complex, long-horizon agentic tasks across multiple applications.
- Offers managed sandboxes with features like state initialization, reset, and parallel runs.
Pricing: Free plan available
Best for: Growing teams
What is Klavis AI?
Klavis AI provides live, realistic environments designed for training and evaluating AI agents. It addresses critical challenges in AI development by offering managed sandboxes that simulate real-world interactions across various applications and services. This platform allows developers to move beyond synthetic benchmarks to train agents on complex, long-horizon tasks that involve browser sessions, computer actions, code repositories, SaaS tools, and Model Context Protocol (MCP) servers. The platform is built for frontier AI labs and developers who need to streamline the process of setting up test data, initializing states, and managing cleanup. It offers features like instant state initialization, state export for verification, one-click reset and teardown, and isolated, parallel runs. By providing full environment fidelity and seeded state data, Klavis AI enables the development of agents capable of handling multi-step task progression and verifiable outcomes in ultra-realistic settings.
Pros & Cons
Pros
- Significantly reduces time spent on test data setup and environment management.
- Enables training of AI agents on highly realistic and complex multi-step tasks.
- Provides isolated and parallel environments for efficient experimentation and evaluation.
- Offers enterprise-grade security and compliance with SOC 2 Type II and GDPR.
- Integrates with leading AI frameworks and tools through MCP servers.
Cons
- Requires integration and setup to connect with specific agent frameworks and tools.
- The complexity of real-world environments may still require careful agent design and debugging.
Key Features
Managed sandboxes with authenticationSeeded state data for environmentsState export for verificationOne-click environment reset and teardownIsolated, parallel runs for training and evaluationSupport for 300+ servicesFull environment fidelityRealistic multi-app state simulation
Pricing Plans
Pricing checked Aug 1, 2026
Free
Free
- 1 user
- 100 AI credits/month
- 100 MB storage
- Basic support
Starter
$19/month
- 1 user
- 1,000 AI credits/month
- 1 GB storage
- Standard support
- All Free features
Pro
$49/month
- 3 users
- 5,000 AI credits/month
- 5 GB storage
- Priority support
- All Starter features
Business
$99/month
- 5 users
- 10,000 AI credits/month
- 10 GB storage
- Dedicated support
- All Pro features
Enterprise
Contact us
- Custom users
- Custom AI credits/month
- Custom storage
- Dedicated account manager
- SLA
- All Business features
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Klavis AI FAQ
How does Klavis AI facilitate the training of AI agents for complex tasks?
Klavis AI provides live, realistic, and managed environments that simulate real-world interactions across various applications and services. This allows developers to train agents on complex, long-horizon tasks involving browser sessions, computer actions, code repositories, and SaaS tools, moving beyond synthetic benchmarks.
Which teams would benefit most from using Klavis AI?
Klavis AI is built for frontier AI labs and developers who need to streamline the process of setting up test data, initializing states, and managing cleanup for AI agent development. It is ideal for teams focused on AI Agents, Testing & QA, and Developer Tools.
How does Klavis AI compare to LangChain for AI agent development?
Klavis AI focuses on providing realistic, managed environments for training and evaluating AI agents on complex tasks, including full environment fidelity and seeded state data. While LangChain provides a framework for developing language model applications, Klavis AI specializes in the operational environment for agent training and verification.
What kind of limitations should users consider when adopting Klavis AI?
Users should be aware that Klavis AI requires integration and setup to connect with specific agent frameworks and tools. Additionally, while it provides realistic environments, the inherent complexity of real-world scenarios may still necessitate careful agent design and debugging.
Does Klavis AI include a free tier?
Yes, Klavis AI is available on a free tier. Paid plans are offered for users who require more usage and additional features beyond what the free tier provides.
Can Klavis AI support parallel execution of agent training environments?
Yes, Klavis AI offers isolated, parallel runs, which enables efficient experimentation and evaluation of AI agents. This feature helps in scaling testing efforts and speeding up the development cycle.
How does Klavis AI ensure the security and compliance of its environments?
Klavis AI offers enterprise-grade security and compliance. The platform adheres to industry standards such as SOC 2 Type II and GDPR, ensuring a secure and regulated environment for AI agent development.
Source: klavis.ai