Fallom

Fallom is an advanced AI-native observability platform that focuses on providing real-time insights specifically for large language model (LLM) and agent workloads. Designed for teams operating in production environments, Fallom enables comprehensive visibility into every LLM call, offering end-to-end tracing capabilities. This includes meticulous tracking of prompts, outputs, tool calls, tokens, latency, and associated costs for each interaction. Fallom's primary value proposition is its ability to enhance operational efficiency by allowing teams to monitor usage patterns, debug issues, and accurately attribute spending across various models, users, and teams. The platform features session and user context, timing waterfalls for multi-step agent processes, and enterprise-grade audit trails, making it a suitable choice for organizations with compliance requirements. With a single OpenTelemetry-native SDK, teams can quickly implement Fallom within their applications for immediate live monitoring and maintenance of LLM workloads.

Real-time Observability

Fallom provides real-time observability into AI agent operations, allowing teams to track tool calls, analyze timing, and debug issues confidently. This feature ensures that all interactions are logged and available for immediate review, facilitating quick response to any anomalies.

Cost Attribution

With Fallom, organizations can monitor spending meticulously by tracking costs associated with each model, user, and team. This feature offers full cost transparency, enabling accurate budgeting and chargeback processes, essential for financial accountability in AI operations.

Compliance Ready

Fallom is built with compliance in mind, offering complete audit trails that support regulatory requirements such as the EU AI Act, SOC 2, and GDPR. This feature ensures organizations can maintain the necessary documentation and oversight required in regulated industries.

Session Tracking

The platform allows for comprehensive session tracking, grouping traces by session, user, or customer. This capability provides complete context around each interaction, making it easier to analyze user behavior and improve overall user experience.

Monitoring AI Workloads

Fallom is ideal for teams overseeing AI workloads, providing them with real-time insights into model performance, usage patterns, and operational costs. This ensures that teams can proactively manage their AI systems and respond to issues swiftly.

Debugging Multi-step Agents

For organizations utilizing multi-step agents, Fallom's timing waterfall feature aids in debugging latency issues by visualizing each step's duration. This allows teams to identify bottlenecks and optimize agent workflows effectively.

Financial Oversight

Companies can leverage Fallom for financial oversight, utilizing its cost attribution feature to track expenditures across different models and teams. This is crucial for organizations that require transparency in their AI spending and resource allocation.

Compliance Management

Fallom is a valuable asset for companies needing to adhere to strict compliance standards. Its complete audit trails and user consent tracking help organizations maintain regulatory compliance while ensuring user privacy and data security.

What kind of insights can Fallom provide?

Fallom offers insights into LLM call metrics such as latency, costs, and user interactions, enabling teams to monitor performance and identify areas for improvement.

Is Fallom suitable for teams in regulated industries?

Yes, Fallom is designed to meet compliance needs, offering features like complete audit trails, privacy controls, and user consent tracking, making it ideal for organizations in regulated sectors.

How quickly can I set up Fallom?

Setting up Fallom is straightforward and can be completed in under five minutes using its OpenTelemetry-native SDK, allowing teams to get started with live monitoring immediately.

Can Fallom integrate with existing AI frameworks?

Fallom is compatible with all AI providers and uses a single SDK, ensuring that organizations can implement it without vendor lock-in and easily integrate it into their existing systems.