Fallom

Fallom provides real-time insights into AI calls for tracking costs and efficient debugging of your AI operations.

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Published on:

January 10, 2026

Pricing:

Fallom application interface and features

About Fallom

Fallom is an innovative observability platform tailor-made for the rapidly evolving landscape of artificial intelligence. Designed for developers and engineering teams working with Large Language Models (LLMs) and autonomous AI agents, Fallom provides a comprehensive solution that enhances transparency and control over AI operations. This powerful tool enables users to capture and analyze every interaction, from the prompts sent to the responses received, along with detailed information on tool calls, token usage, latency, and costs. By transforming what was once a black-box process into a clear and manageable system, Fallom allows teams to quickly diagnose issues, monitor real-time usage, and optimize their AI deployments. With features built on the open OpenTelemetry standard, Fallom ensures a smooth setup experience without vendor lock-in, making it accessible for organizations of all sizes. Additionally, enterprise-ready functionalities like audit trails, model versioning, and consent tracking help businesses comply with regulations like GDPR and the EU AI Act. Fallom truly empowers teams to harness the full potential of their AI technologies while keeping costs in check.

Features of Fallom

Real-Time Observability

Fallom offers real-time observability for AI agents, allowing users to track tool calls and analyze their timing. This feature enables developers to debug with confidence, helping them understand exactly what happens during each interaction and ensuring smoother AI operations.

Cost Attribution

With Fallom, organizations can track spending on a per-model, per-user, and per-team basis. This feature provides full cost transparency, making it easier for teams to manage their budgets and allocate resources effectively, ensuring they know where their AI expenditures are going.

Complete Audit Trails

Fallom maintains comprehensive audit trails that log every LLM interaction, ensuring that organizations can meet their regulatory requirements. Features like input/output logging and model versioning help businesses maintain compliance with standards such as SOC 2 and GDPR.

Session Tracking

This feature groups traces by session, user, or customer, providing complete context for each interaction. With session tracking, teams can dive deeper into user behavior and understand how different users engage with their AI applications, making it easier to optimize performance.

Use Cases of Fallom

Debugging AI Responses

When an AI agent provides an unexpected or incorrect answer, developers can use Fallom to trace back through the LLM calls and tool interactions leading up to that response. This capability allows them to quickly identify and resolve issues, improving the overall reliability of their applications.

Budget Management

Fallom empowers organizations to monitor their AI spending in real-time. By tracking costs on a granular level, teams can make informed decisions about resource allocation and budget adjustments, ensuring that they stay within financial boundaries while maximizing AI effectiveness.

Compliance and Regulatory Support

For organizations operating in regulated industries, Fallom provides the necessary tools to maintain compliance with various regulations. With detailed audit trails and user consent tracking, businesses can confidently navigate the complexities of compliance, mitigating risks associated with data privacy.

Model Performance Evaluation

Fallom enables teams to run evaluations on their LLM outputs, catching regressions before deploying updates to production. By assessing accuracy, relevance, and potential hallucinations, developers can ensure that their AI models continue to perform at the highest standards.

Frequently Asked Questions

What is Fallom used for?

Fallom is an observability platform designed for AI applications, particularly those using Large Language Models. It captures detailed data on LLM interactions, helping teams monitor performance, debug issues, and manage costs effectively.

How does Fallom support compliance?

Fallom provides features like complete audit trails and user consent tracking, ensuring that organizations can meet regulatory requirements such as GDPR and the EU AI Act. This support helps businesses navigate compliance challenges confidently.

Can I use Fallom with any AI provider?

Yes, Fallom is built on the open OpenTelemetry standard, which means it is compatible with all AI providers. You can set it up quickly with a single SDK, ensuring flexibility without vendor lock-in.

How does Fallom help with debugging?

Fallom captures every LLM call and tool interaction, allowing developers to trace back through the sequence of events leading to an AI agent's response. This visibility aids in diagnosing issues and improving the reliability of AI applications.

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