Fallom

Fallom is an AI-native observability platform tailored for monitoring and managing large language model (LLM) and AI agent workloads in production environments. It offers engineering and product teams unparalleled real-time visibility into every AI interaction, ensuring optimal performance and reliability. With a single OpenTelemetry-native SDK, users can easily instrument their applications within minutes to track every LLM call, complete with detailed traces of prompts, outputs, tool calls, tokens, latency, and per-call costs. Fallom is designed for teams focused on AI development who require rapid debugging, performance optimization, cost control, and robust audit trails to meet security and regulatory standards. Supporting all major model providers, Fallom ensures no vendor lock-in while providing the granular insights necessary for delivering reliable and cost-effective AI applications.

Real-Time Observability

Fallom provides real-time observability for AI agents, enabling users to track tool calls, analyze timing, and debug interactions with confidence. This feature ensures that teams can quickly identify and resolve issues, enhancing overall system performance.

Session-Level Context

With session-level context, Fallom allows users to group traces by session, user, or customer. This feature provides complete context for every interaction, making it easier to trace issues back to specific users or sessions and improving troubleshooting efficiency.

Cost Attribution

Fallom's cost attribution feature enables teams to track spending on a per-model, per-user, or per-team basis. This transparency aids in budgeting and chargeback processes, ensuring that organizations maintain control over their AI-related expenses.

Compliance and Audit Trails

Fallom is designed to meet regulatory requirements with comprehensive audit trails. The platform supports essential compliance measures such as the EU AI Act, SOC 2, and GDPR, ensuring organizations are prepared for audits and maintaining user trust.

Debugging AI Interactions

Teams can leverage Fallom to debug AI interactions efficiently. By providing detailed traces and session-level context, engineers can swiftly identify the root causes of issues, reducing downtime and improving user experience.

Performance Optimization

Fallom allows organizations to optimize the performance of their AI applications by analyzing real-time data on latency and tool call efficiency. This capability enables teams to fine-tune their systems for faster and more reliable interactions.

Cost Management

With built-in cost attribution features, organizations can manage and analyze their AI spending effectively. This helps teams allocate budgets accurately and make informed decisions regarding model usage and resource allocation.

Regulatory Compliance

Fallom supports organizations operating in regulated industries by providing full audit trails and privacy controls. This functionality helps businesses comply with necessary regulations while maintaining user data security and privacy.

What is Fallom used for?

Fallom is used for monitoring and managing LLM and AI agent workloads in production. It provides real-time visibility, debugging tools, and compliance features, helping teams optimize performance and manage costs.

How does Fallom ensure compliance?

Fallom ensures compliance by offering comprehensive audit trails, input/output logging, model versioning, and user consent tracking. It is designed to meet regulatory requirements such as the EU AI Act and GDPR.

Can Fallom be used with any AI model provider?

Yes, Fallom supports all major model providers, ensuring that users can utilize the platform without being locked into a specific vendor. This flexibility allows for a more adaptable AI deployment strategy.

How quickly can I set up Fallom?

Setting up Fallom is quick and straightforward. The platform is OpenTelemetry-native, allowing users to instrument their applications in under five minutes, making it accessible for teams of all sizes.