OpenAI builds and deploys advanced AI models like GPT-4o for autonomous agents and workflows.
Waxell
$0.10Starting price
2.9KMonthly visits
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About Waxell
Waxell is a governance and orchestration platform designed to manage and govern AI agents in production environments. It sits above models, agents, and integrations to enforce policies, scheduling, telemetry, and usage limits while recording actions for full visibility and control. The tool enables teams to transition experimental agents into scalable, auditable workflows without compromising operational reliability or accountability. By providing clear oversight and governance, Waxell reduces engineering overhead while allowing agent logic to evolve safely. It is particularly useful for organizations deploying multiple AI agents that require consistent policy enforcement and monitoring. The platform ensures that agentic AI systems operate within defined boundaries while maintaining transparency and traceability. Teams rely on Waxell to streamline the deployment of AI agents while mitigating risks associated with unchecked automation.
Key features
- Enforces policies and scheduling for AI agents
- Provides telemetry and usage limits
- Records and audits agent actions
- Offers clear visibility and control over agent operations
- Supports safe transition from experimental to production workflows
- Maintains operational reliability and accountability
- Reduces engineering overhead in agent management
- Ensures compliance across agentic AI systems
Use cases
- Managing AI agents in production environments
- Enforcing governance and compliance for agent workflows
- Auditing and tracking agent actions for accountability
Pros
- Provides real-time visibility into AI agents, model calls, and agentic workflows to prevent issues before they escalate
- Auto-instruments over 200 libraries and is OpenTelemetry-native for seamless integration
- Supports US or EU data residency for compliance with regional data protection requirements
- Detects and redacts personally identifiable information (PII) in real time to prevent data leaks
- Fingerprints MCP tools and alerts teams to unauthorized changes in tool descriptions or permissions
Cons
- Governance is proactive rather than retroactive, requiring early adoption to be fully effective
- May introduce additional complexity for teams with minimal existing AI agent deployments
- Relies on instrumentation and integration, which could require adjustments to existing workflows
Frequently asked questions about Waxell
What does Waxell do?
Waxell provides governance and observability for AI agents by offering real-time visibility, policy enforcement, and audit trails across all agentic workflows. It detects issues like PII exposure, cost overruns, and unauthorized tool changes before they cause damage.
Who is Waxell designed for?
Waxell is designed for engineering and security teams managing multiple AI agents in production environments. It is particularly useful for organizations concerned with compliance, cost control, and operational reliability.
How does Waxell integrate with existing AI agents?
Waxell auto-instruments over 200 libraries and is OpenTelemetry-native, allowing it to work with agents already running without requiring additional instrumentation. It also supports MCP-compatible interfaces for third-party agents.
Does Waxell support data residency requirements?
Yes, Waxell offers US or EU data residency options to help organizations comply with regional data protection regulations.
How does Waxell detect shadow AI?
Waxell Endpoints discovers AI applications running on team devices without decrypting payloads, providing visibility into unapproved or unlogged AI usage across the organization.
What is MCP tool governance in Waxell?
MCP tool governance in Waxell includes policy checks, PII scanning, and audit trails on every tool call. It also detects unauthorized changes in tool descriptions to prevent 'rug pulls' where tools alter behavior silently.
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