Voker

Voker is a specialized analytics platform designed for the agentic era. It helps teams build, monitor, and optimize AI agents with complete visibility. Unlike traditional tracing tools that only reveal errors, Voker provides structured analytics to determine if agents are truly helping users, answering accurately, and avoiding performance bottlenecks.

Benefits

Voker solves several major problems for organizations building AI agents. First, it provides complete visibility into agent performance. Scanning traces alone does not indicate if agents are helpful or accurate. Voker tracks exactly what agents say and identifies knowledge gaps. This helps teams avoid discovering critical issues only after customer complaints or high attrition rates. Second, it offers self-service analytics. Product managers, analysts, and business teams can access insights immediately without requiring engineering tickets or delays. Third, it measures business impact. Voker correlates conversational data with existing user data to quantify AI investments against real-world outcomes like conversion and retention. Finally, it ensures data sovereignty. Users retain full ownership of their data and can choose self-hosting for enterprise needs.

Use Cases

Voker is specifically designed for teams building best-in-class agent products. It is ideal for organizations with high interaction volumes, such as 1,000 or more chat sessions per month. It works well for products with complex multi-turn conversations involving tools, Retrieval Augmented Generation, and Model Context Protocol. Cross-functional teams that require actionable agent insights will find Voker useful. Product teams can use it to iterate on improving agents much faster than competitors. It helps determine when to roll back updates that break the system by quantifying improvements after changes. Teams can also use it to search topics, intents, and issues across all conversations from the user's perspective.

Pricing

Voker offers a flexible pricing structure to accommodate teams at every stage of their agent journey. The free plan costs $0 per month and is ideal for experimentation. It includes 2,000 events per month, 30-day retention, unlimited seats, and community support. The Starter plan costs $80 per month. It is for products with limited agent usage and includes up to 20,000 events per month, 90-day retention, email support, and a 30-day free trial. The Agent First plan costs $400 per month. It is for products where agents are core to the experience and includes 2,000,000 events per month, 1-year retention, Agent Auto-Optimization in beta, and Slack support. The Enterprise plan has custom pricing for large-scale operations requiring mission-critical reliability. It includes self-hosted deployment, single sign-on, dedicated optimization engineers, and custom data retention.

Vibes

Voker is trusted by product teams requiring rigorous data-driven decision-making. Ben Yahalom, CEO of True Classic, says Voker made it possible to monitor and optimize their AI features quickly. Carlos Moreno, CTO of Dutch, notes that Voker has allowed them to optimize their agents in production, ensuring positive ROI outcomes in record time without impacting engineering resources. Ariel Herrera, CTO of Coffee Clozers, mentions that with Voker, they can iterate on improving their agents much faster than competitors. Peter Greig, VP of Data and Analytics at Lull, states that with their intents and resolution tracking, they have learned where they need to make investments in product and customer success, and where they are crushing their goals.

Additional Information

Voker is architected to work with any LLM framework or model while ensuring data sovereignty. It offers seamless integration with OpenAI, Anthropic, Gemini, Langchain, CrewAI, and Vercel AI SDK. A lightweight SDK is available in Python and TypeScript. Installation requires only two lines of code. The platform works alongside tools like Langfuse, Langsmith, PostHog, Mixpanel, and Amplitude. It captures user messages, assistant messages, and tool calls. Most conversations generate approximately 15 events on average. Teams can start analyzing their agents with just a few lines of code. Voker offers a 30-day free trial for paid plans and allows users to start for free and scale as their agent usage grows.