Fallom

Fallom is the game-changing AI-native observability platform that is transforming how organizations build, deploy, and manage production-grade Large Language Model (LLM) applications. Designed from the ground up for the unique challenges of AI agents and complex LLM workflows, Fallom delivers unparalleled, end-to-end visibility into every interaction. It empowers engineering and AI teams to move beyond guesswork, providing a crystal-clear lens into prompts, outputs, tool calls, token usage, latency, and the precise cost of every single LLM call. This transformative visibility is critical for teams that demand reliability, performance, and cost control from their AI systems. With its powerful, OpenTelemetry-native SDK, you can instrument your entire AI stack in under five minutes, unlocking live monitoring, instant debugging, and granular cost attribution across models, users, and teams. Fallom goes beyond basic metrics, offering enterprise-grade features like session-level context, timing waterfalls for multi-step agents, comprehensive audit trails for compliance, and robust testing frameworks. By providing a single pane of glass for your AI operations, Fallom unlocks the full potential of your LLM investments, enabling you to ship with confidence, optimize relentlessly, and scale intelligently.

End-to-End LLM Tracing & Live Dashboard

Gain real-time, granular visibility into every LLM interaction within your applications. Fallom's live dashboard displays a comprehensive trace of each call, showing the exact input prompt, the model used, token counts (in/out), precise cost, and latency—all updating in real time. This allows you to monitor the health and performance of your AI agents live, spot anomalies as they happen, and drill down into any call for immediate debugging, transforming opaque AI operations into a transparent, manageable system.

Granular Cost Attribution & Analytics

Take control of your AI spending with Fallom's powerful cost attribution engine. Break down your total LLM expenditure by model, individual user, team, or even specific customer. The platform provides clear visualizations and detailed reports, enabling precise budgeting, internal chargebacks, and identifying cost-optimization opportunities. You can instantly see which models or features are driving your bill, empowering data-driven decisions to improve efficiency without sacrificing performance.

Enterprise Compliance & Audit Trails

Built for regulated industries, Fallom ensures your AI deployments are audit-ready. It maintains complete, immutable audit trails of every LLM interaction, logging inputs, outputs, model versions, and user context. This is essential for meeting stringent regulatory requirements like the EU AI Act, GDPR, and SOC 2. Features like configurable privacy modes allow you to redact sensitive data while retaining full telemetry, balancing powerful observability with strict data governance and security standards.

Advanced Debugging with Timing Waterfalls & Tool Visibility

Debug complex, multi-step AI agent workflows with confidence. Fallom's timing waterfall visualizations break down the exact sequence and duration of each step in an agent's execution—from LLM calls and tool executions (like database queries or API calls) to final response formatting. Coupled with complete visibility into every tool call's arguments and results, you can pinpoint latency bottlenecks, diagnose logic errors, and optimize the performance of your most sophisticated AI chains.

Monitoring Production AI Customer Support Agents

Ensure your AI-powered customer support chatbots and agents are performing reliably and cost-effectively in live environments. Fallom allows you to trace every customer interaction, monitor response accuracy and latency in real-time, attribute costs per customer or support ticket, and quickly debug failed conversations or unexpected tool calls, leading to higher customer satisfaction and controlled operational costs.

Optimizing Cost and Performance for Internal Copilots

Deploy internal developer or business copilots with full financial and operational oversight. Use Fallom to track which teams and individuals are using the AI tools, analyze the cost-per-query for different types of tasks, and A/B test different models or prompts to find the optimal balance of intelligence and expense. This transforms an opaque utility into a managed, optimized service with clear ROI.

Ensuring Compliance for Financial or Legal AI Applications

Safely deploy AI in highly regulated sectors like finance, healthcare, or legal services. Fallom's comprehensive audit trails provide the necessary documentation for every AI-generated piece of advice, analysis, or content. Privacy controls allow sensitive data handling, and detailed logs support regulatory reviews, enabling innovation while maintaining rigorous compliance and risk management standards.

Debugging Complex Multi-Agent Workflow Systems

Troubleshoot and refine intricate systems where multiple AI agents collaborate or perform sequential tasks (e.g., a research agent that searches, analyzes, and then drafts a report). Fallom's session tracking groups all related traces, while timing waterfalls visually expose bottlenecks between agents or tools, allowing engineers to systematically improve the reliability and speed of these advanced AI architectures.

How quickly can I integrate Fallom into my existing application?

Integration is remarkably fast. Fallom uses a single, OpenTelemetry-native SDK designed for minimal friction. For most applications, you can be up and running with full tracing in under five minutes. Simply install the SDK, add a few lines of configuration code to instrument your LLM calls, and your data will begin flowing to the Fallom live dashboard immediately.

Does Fallom support all major LLM providers?

Yes, Fallom is built with an open, provider-agnostic philosophy. It works seamlessly with every major LLM provider, including OpenAI (GPT-4, GPT-4o), Anthropic (Claude), Google (Gemini), and open-source models. The single SDK abstracts away provider differences, giving you a unified observability layer across your entire AI stack with zero vendor lock-in.

How does Fallom handle sensitive or private user data?

Fallom is built with enterprise-grade security and privacy controls. It offers a configurable "Privacy Mode" that allows you to disable full content capture for sensitive interactions. You can choose to log only metadata (like token counts and latency) or apply redaction rules, ensuring you maintain full observability for debugging while protecting user confidentiality and meeting data privacy regulations.

Can I use Fallom for testing and evaluating my LLM prompts before deployment?

Absolutely. Fallom includes robust evaluation and testing features. You can run automated evaluations on LLM outputs against metrics like accuracy, relevance, and hallucination rates. The integrated Prompt Store allows for version control and A/B testing of different prompt variations, enabling you to catch regressions and scientifically deploy the highest-performing prompts to production with confidence.