Fallom

Fallom is a cutting-edge AI-native observability platform specifically designed to enhance the performance and management of large language models (LLMs) and agent workloads. By offering organizations unparalleled visibility into every LLM call made in production, Fallom enables comprehensive end-to-end tracing that includes critical components such as prompts, outputs, tool calls, tokens, latency, and cost per call. This platform is tailored for businesses requiring robust observability tools to navigate the complexities of AI operations, ensuring that teams can monitor usage in real-time, debug issues swiftly, and effectively allocate spending across various models, users, and teams. Additionally, Fallom provides essential session, user, and customer-level context, which is particularly vital for organizations operating in regulated environments. This includes delivering enterprise-ready audit trails, logging, model versioning, and consent tracking to meet compliance standards. With a single OpenTelemetry-native SDK, teams can instrument their applications within minutes, making Fallom an indispensable tool for organizations aiming to boost their LLM operational efficiency and compliance readiness.

Real-Time Observability

Fallom offers real-time observability for AI agents, allowing organizations to track tool calls, analyze execution timing, and debug performance issues with confidence. This transparency ensures that teams can identify bottlenecks and optimize workflows proactively.

Cost Attribution

With Fallom, businesses can track spending per model, user, and team, achieving full cost transparency for budgeting and chargeback purposes. This feature empowers organizations to manage their AI expenditures effectively and optimize resource allocation.

Compliance Ready

Fallom is equipped with comprehensive audit trails, ensuring organizations can meet regulatory requirements such as the EU AI Act, SOC 2, and GDPR. Features like input/output logging, model versioning, and user consent tracking help maintain compliance and support organizational accountability.

Session Tracking and Debugging

Fallom allows users to group traces by session, user, or customer, providing complete contextual visibility into interactions. This feature facilitates debugging and enhances the understanding of user behavior, enabling data-driven decision-making.

Enhancing Debugging Processes

Organizations can leverage Fallom to streamline their debugging processes by tracing every function call, argument, and result in their agents. This visibility reduces the time spent on identifying and resolving issues within LLM workflows.

Budget Management and Cost Control

Fallom's cost attribution feature is ideal for finance teams that need to monitor and control AI-related expenditures. By tracking costs associated with each model and user, businesses can make informed decisions about their AI investments.

Regulatory Compliance Management

For businesses operating in regulated industries, Fallom provides the necessary tools to maintain compliance with audit trails and privacy controls. This ensures that organizations can operate confidently while adhering to stringent legal requirements.

Performance Evaluation and Optimization

Fallom enables organizations to run evaluations on LLM outputs, allowing teams to catch regressions before production. This capability helps maintain high-quality outputs and optimizes the overall performance of AI models.

What is Fallom used for?

Fallom is used for enhancing visibility and observability in large language model operations, enabling organizations to monitor, debug, and optimize AI workloads effectively.

How does Fallom ensure compliance with regulations?

Fallom ensures compliance by providing comprehensive audit trails, input/output logging, model versioning, and user consent tracking, making it suitable for organizations in regulated industries.

Can Fallom integrate with existing AI infrastructures?

Yes, Fallom utilizes a single OpenTelemetry-native SDK that is compatible with various AI providers, ensuring seamless integration into existing systems without vendor lock-in.

How quickly can teams get started with Fallom?

Teams can set up Fallom in under five minutes, allowing organizations to start tracing and monitoring their AI agents almost immediately, boosting productivity from the outset.