Fallom

Fallom is the cutting-edge AI-native observability platform specifically designed for Large Language Model (LLM) and agent workloads. It empowers teams to gain a comprehensive view of every LLM call made in production, providing end-to-end tracing of essential metrics including prompts, outputs, tool calls, tokens, latency, and cost per call. Tailored for organizations managing complex AI systems, Fallom offers session, user, and customer-level context, allowing for detailed insight into AI interactions. Its enterprise-ready features include robust audit trails, model versioning, and consent tracking, ensuring compliance with regulations such as GDPR and the EU AI Act. With its single OpenTelemetry-native SDK, teams can seamlessly instrument their applications in just minutes, enabling real-time monitoring, faster debugging, and precise cost attribution across models, users, and teams. Fallom is the essential tool for organizations looking to harness the full potential of AI while maintaining control and visibility.

Real-Time Observability

Fallom provides real-time observability for AI agents, allowing users to track tool calls, analyze timing, and debug with confidence. With live monitoring of each LLM call, teams can quickly identify and resolve issues, ensuring optimal performance of their AI applications.

Cost Attribution

Gain full transparency into your AI expenditures with Fallom's cost attribution feature. Track spending per model, user, and team, enabling precise budgeting and chargeback processes. This feature is crucial for organizations aiming to manage their AI expenses effectively.

Compliance Ready

Fallom is built with compliance in mind, offering complete audit trails to support regulatory requirements. Features like input/output logging, model versioning, and user consent tracking ensure that organizations can stay compliant with regulations such as GDPR and SOC 2, providing peace of mind.

Timing Waterfall Analysis

Debug latency issues in complex multi-step agent workflows using Fallom's timing waterfall feature. This tool helps visualize the time taken for each function call and the overall response time, enabling teams to optimize workflows and enhance user experience.

Debugging AI Applications

Fallom is invaluable for development teams looking to debug AI applications. By providing detailed tracing of LLM calls and tool interactions, teams can quickly pinpoint bottlenecks and improve the efficiency of their AI solutions.

Cost Management for AI Workloads

Organizations can utilize Fallom to manage and attribute costs associated with LLM usage effectively. This is essential for teams needing to allocate budgets accurately and understand spending patterns across different models and user groups.

Regulatory Compliance

Fallom assists companies in meeting stringent compliance requirements by providing complete audit trails and user consent tracking. This feature is especially beneficial for industries that must adhere to regulations such as the EU AI Act and GDPR.

Performance Monitoring

With Fallom’s real-time monitoring capabilities, companies can keep a close eye on AI performance. By spotting anomalies and performance dips early, teams can take proactive measures to ensure their AI systems are running smoothly and efficiently.

How quickly can I set up Fallom?

Setting up Fallom is incredibly fast and efficient. With the OpenTelemetry-native SDK, you can instrument your applications in under five minutes, enabling immediate access to monitoring and tracing functionalities.

What compliance regulations does Fallom support?

Fallom is designed to help organizations adhere to various compliance regulations, including the EU AI Act, GDPR, and SOC 2. With features like audit trails and consent tracking, Fallom ensures you stay compliant in a regulatory landscape.

Can Fallom be used with any AI provider?

Absolutely! Fallom’s OpenTelemetry native SDK is compatible with all AI providers, ensuring you have the flexibility to choose the best tools for your needs without the worry of vendor lock-in.

What kind of analytics can I expect from Fallom?

Fallom provides in-depth analytics related to LLM usage, including cost attribution, user engagement metrics, and performance monitoring. This data helps teams make informed decisions about AI deployments and resource allocation.