
Train AI agents in realistic, managed environments for complex tasks
Visit WebsiteThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Significantly reduces time spent on test data setup and environment management.
Biggest con
Requires integration and setup to connect with specific agent frameworks and tools.
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.
What is Klavis AI?
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
Pricing Plans
Pricing checked Jun 13, 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
How Klavis AI's pricing compares
At $19/mo, Klavis AI is mid-range of its 4 direct competitors ($1.58 to $500/mo across the set).
Entry paid plan, monthly. Pricing checked Jun 13, 2026.
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Klavis AI FAQ
How does Klavis AI facilitate the training of AI agents for complex tasks?
Which teams would benefit most from using Klavis AI?
How does Klavis AI compare to LangChain for AI agent development?
What kind of limitations should users consider when adopting Klavis AI?
Does Klavis AI include a free tier?
Can Klavis AI support parallel execution of agent training environments?
How does Klavis AI ensure the security and compliance of its environments?
Source: klavis.ai