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Last update time : 2026-02-28 19:01:05

Waxell is a comprehensive platform designed to govern and orchestrate agentic AI systems in production environments, ensuring seamless policy enforcement, scheduling, and telemetry while maintaining operational reliability and accountability.

Waxell operates as a crucial layer above models, agents, and integrations, providing a robust framework for enforcing policies, scheduling tasks, monitoring telemetry, and setting limits. This platform is instrumental in recording actions and offering clear visibility and control, thereby empowering teams to transition experimental agents into scalable and auditable workflows.


The primary goal of Waxell is to facilitate the evolution of agent logic without compromising operational reliability, accountability, or incurring increased engineering overhead. By leveraging Waxell, organizations can ensure that their agentic AI systems operate within established boundaries, adhere to predefined policies, and maintain the highest levels of transparency and control. This is particularly significant in production environments where the reliability and accountability of AI systems are paramount.


Furthermore, Waxell's capability to provide clear visibility into the actions and performance of agentic AI systems enables teams to refine their strategies, optimize workflows, and make informed decisions. The platform's emphasis on operational reliability, accountability, and scalability underscores its commitment to supporting the safe and efficient deployment of AI solutions. As the landscape of AI continues to evolve, platforms like Waxell play a vital role in ensuring that the benefits of agentic AI are realized while mitigating potential risks and challenges.

Pricing : Paid

Web Address : Waxell

Tags : Agentic AI Governance Orchestration Operational Reliability Accountability Scalability Auditable Workflows AI Systems Policy Enforcement Telemetry Visibility Control