Fallom

About Fallom

Fallom is an innovative AI-native observability platform designed specifically for large language model (LLM) and agent workloads. It empowers organizations to gain unprecedented visibility into every LLM call made in production, ensuring end-to-end tracing that includes critical details such as prompts, outputs, tool calls, tokens, latency, and per-call costs. This capability is essential for teams looking to optimize their AI applications while maintaining compliance with various regulations. Fallom provides comprehensive session, user, and customer-level context, allowing businesses to track multi-step agent workflows effectively. It boasts enterprise-ready features like audit trails, model versioning, and consent tracking, ensuring that organizations can meet compliance demands. With a single OpenTelemetry-native SDK, teams can instrument their applications quickly, monitor live usage, debug issues, and attribute costs across various models, users, and teams—all within minutes. Whether you are a startup or an established enterprise, Fallom offers the tools you need to monitor, analyze, and enhance your AI operations.

Features of Fallom

Real-Time Observability

Fallom offers real-time observability for AI agents, enabling users to track tool calls, analyze timing, and debug issues with confidence. This feature allows teams to see every LLM call, making it easier to pinpoint performance bottlenecks and improve overall efficiency.

Comprehensive Cost Attribution

With Fallom's cost attribution feature, organizations can track expenses related to each model, user, and team, ensuring full transparency for budgeting and chargeback purposes. This capability helps businesses manage their AI costs effectively and make informed financial decisions.

Enterprise-Grade Compliance

Fallom is built for compliance with a focus on regulatory requirements. It provides complete audit trails, including input/output logging, model versioning, and user consent tracking, ensuring businesses can meet regulations such as the EU AI Act, SOC 2, and GDPR effortlessly.

Session Tracking and Debugging

Fallom’s session tracking feature allows teams to group traces by session, user, or customer, providing complete context for every interaction. Coupled with timing waterfalls, this feature enables users to debug latency issues in multi-step agent workflows, enhancing the overall user experience.

Use Cases of Fallom

Optimizing AI Workflows

Organizations can use Fallom to optimize their AI workflows by analyzing LLM calls and identifying areas for improvement. By tracking tool calls and latency, teams can adjust their models and enhance overall performance.

Budget Management and Cost Analysis

Fallom's cost attribution capabilities allow teams to monitor spending on AI models in real-time. Businesses can use this data to allocate budgets effectively and ensure that resources are being used efficiently across various projects.

Ensuring Compliance and Audit Readiness

For companies in regulated industries, Fallom provides the necessary tools to ensure compliance with legal standards. With comprehensive audit trails and logging features, organizations can demonstrate adherence to regulations and avoid potential fines.

Enhanced Debugging for Multi-Step Agents

Developers can leverage Fallom to debug complex multi-step agents by analyzing timing waterfalls and session traces. This enables teams to quickly resolve issues and ensures that AI applications operate smoothly and effectively.

Frequently Asked Questions

What types of AI workloads does Fallom support?

Fallom is designed for large language model (LLM) and agent workloads, providing observability and monitoring capabilities tailored to these specific applications.

How quickly can I start using Fallom?

With a single OpenTelemetry-native SDK, teams can instrument their applications in under five minutes, allowing for immediate monitoring and usage analysis.

Is Fallom compliant with data privacy regulations?

Yes, Fallom is built with compliance in mind, offering features like full audit trails, consent tracking, and configurable content redaction to meet various regulatory requirements.

Can I track usage across multiple models and users?

Absolutely! Fallom provides detailed cost attribution and session tracking features, enabling organizations to monitor usage and spending across different models, users, and teams efficiently.