Fallom

Fallom is not just another observability platform; it's the ultimate AI-native powerhouse crafted specifically for large language model (LLM) and agent workloads. Imagine having the ability to track every LLM call in production with razor-sharp end-to-end tracing. With Fallom, you gain unparalleled visibility into prompts, outputs, tool calls, tokens, latency, and per-call costs—all in real-time. This revolutionary tool is a must-have for developers, data scientists, and operations experts alike who are looking to supercharge their AI operations. Fallom goes beyond mere monitoring; it empowers teams to debug swiftly, accurately attribute spending across users and models, and uphold compliance with robust auditing features. Thanks to a single OpenTelemetry-native SDK, you can get your applications instrumented in just a few minutes. It's time to elevate your AI observability game—Fallom is here to transform how you manage LLM workloads like never before.

Real-Time Observability

Fallom offers real-time observability for your AI agents, allowing you to track tool calls, analyze timing, and debug with confidence. You can see every LLM call in action, providing crucial insights into performance and efficiency.

Cost Attribution

Get complete transparency into your AI spending with Fallom's cost attribution feature. Track expenses per model, user, and team, ensuring you have a firm grip on your budget and can effectively manage costs across different departments.

Enterprise-Grade Compliance

Designed with regulatory requirements in mind, Fallom comes equipped with full audit trails to support compliance with standards like the EU AI Act, SOC 2, and GDPR. This ensures that you can confidently manage sensitive data while meeting legal obligations.

Session Tracking and Contextual Insights

Fallom facilitates session tracking, allowing you to group traces by session, user, or customer. This feature provides complete context for each interaction, making it easier to understand user behavior and improve service delivery.

Optimize AI Workflows

With Fallom, teams can optimize their AI workflows by identifying bottlenecks in processes. Whether you're analyzing latency in multi-step agent workflows or evaluating model performance, Fallom gives you the tools to tweak and improve efficiency.

Budget Management

Fallom's cost attribution feature enables organizations to maintain a clear view of AI spending. By tracking costs per model and user, businesses can allocate budgets more effectively and make informed decisions about resource allocation.

Regulatory Compliance

For companies operating in regulated industries, Fallom offers the peace of mind that comes with robust compliance features. The complete audit trails and privacy controls ensure that organizations can meet their regulatory obligations without breaking a sweat.

Performance Evaluation

Use Fallom to run evaluations on your LLM outputs, catching regressions before they hit production. With real-time analytics on accuracy and relevance, teams can ensure they are delivering the best possible user experience.

What is Fallom and how does it work?

Fallom is an AI-native observability platform designed for tracking and optimizing large language model workloads. It provides real-time insights into LLM calls, enabling users to monitor performance, costs, and compliance seamlessly.

How quickly can I get started with Fallom?

Fallom offers a single OpenTelemetry-native SDK that allows you to instrument your applications in under five minutes. This ease of setup means you can start monitoring your LLM workloads almost immediately.

Is Fallom suitable for enterprise-level applications?

Absolutely! Fallom is built for enterprise-grade observability, providing comprehensive visibility, compliance features, and the ability to manage large-scale AI operations effectively.

Can I track costs associated with different models and users?

Yes! Fallom's cost attribution feature allows you to track spending associated with each model, user, and team, giving you full transparency and control over your AI budget.