Lyzr
Enterprise control plane for testing, governing, and monitoring AI agents across clouds and frameworks.
About Lyzr
Lyzr is an enterprise control plane for moving AI agents into production across AWS, Azure, GCP, on-premises systems, LangChain, CrewAI, and custom stacks. Teams can connect existing agents without rewriting them, choose among models such as GPT-4o, Claude, Gemini, Llama, and Mistral, and change models through configuration. Before deployment, the simulation engine runs domain scenarios, adversarial inputs, and edge cases. In production, observability covers traces, latency, token use, output quality, and cost. Guardrails detect hallucinations, mask PII, and enforce output policies. SSO and role-based controls govern access to agents, tools, and data, while immutable logs support audits. Lyzr suits enterprises that need centralized governance across a mixed agent fleet. Buyers should account for per-run charges plus separate LLM usage, and VPC or on-premises customers also pay their own compute costs.
Best for
Best use cases
Connect existing agents to a shared production control plane
Test agent behavior against domain and adversarial scenarios
Monitor latency, token use, output quality, and cost after launch
Compare before choosing
Cloud costs more per run but removes infrastructure operations
VPC / On-Prem lowers the platform run price but adds compute responsibility
Both options bill LLM usage separately, so total cost depends on model consumption
Features
Govern mixed agent fleets
Connect agents from several clouds, frameworks, and custom stacks to one control plane without rewriting agent logic.
Test agents before production
Run domain scenarios, adversarial inputs, and edge cases, then review reliability scores before release.
Monitor regulated workflows
Trace agent actions, mask PII, enforce access policies, and export immutable logs for regulatory review.
Pros
- Existing agents can connect across major clouds and frameworks without a rewrite.
- Simulation, trace monitoring, PII masking, and policy controls cover the production workflow.
- Per-run prices are published for managed cloud and private deployment options.
Cons
- LLM usage is billed separately, so the listed per-run price is not the full operating cost.
- VPC and on-premises deployments add usage-based compute costs and infrastructure responsibility.
- The enterprise sales flow requires contacting Lyzr to map pricing to a specific workflow.
Pricing Plans
Lyzr Cloud
- Fully managed cloud infrastructure
- No compute cost overhead
- LLM usage billed separately
- On-demand scaling
Lyzr VPC / On-Prem
- Deploy in your own VPC or on premises
- Full data sovereignty and control
- LLM usage billed separately
- Compute billed according to usage
* Pricing information is for reference only. Please refer to the latest announcement on Lyzr's official website.