Fallom

Fallom is the AI-native observability platform built for teams deploying production-grade LLM applications and autonomous agents. It transforms the opaque "black box" of AI interactions into a transparent, actionable window, giving developers, AI engineers, and platform teams complete, real-time visibility. The core challenge it solves is the inability to effectively monitor, debug, and manage the cost, performance, and reliability of complex LLM workloads at scale. Fallom's primary value proposition is delivering enterprise-ready observability in minutes through a single, OpenTelemetry-native SDK. With Fallom, you can see every granular detail of an LLM call—including prompts, outputs, tool calls, token usage, latency, and cost—all seamlessly correlated with session and user context. This empowers teams to swiftly debug intricate agentic workflows, accurately attribute spend across models and teams, ensure compliance with detailed audit trails, and maintain system reliability, all from an intuitive, mobile-friendly dashboard. Fallom ensures organizations can innovate and move fast with AI without flying blind, guaranteeing their applications are performant, cost-effective, and trustworthy from day one.

Real-Time LLM Call Dashboard

Monitor every AI interaction live from a centralized, mobile-friendly dashboard. See prompts, model outputs, token counts, latency, and cost for each call in real-time. Click into any trace for a detailed breakdown, enabling instant debugging and performance monitoring without sifting through logs.

Granular Cost Attribution & Analytics

Gain full financial transparency over your AI operations. Fallom automatically tracks and attributes spend per model, per user, per team, or per customer. Visualize costs with clear charts and reports, enabling accurate budgeting, chargeback, and optimization to control your LLM expenditure effectively.

Compliance-Ready Audit Trails

Meet stringent regulatory requirements like the EU AI Act, SOC 2, and GDPR with built-in compliance features. Fallom provides immutable, complete audit trails of every LLM interaction, including input/output logging, model versioning, and user consent tracking, all essential for enterprise deployments.

Advanced Debugging with Timing Waterfalls & Tool Visibility

Debug complex, multi-step agent workflows with precision. Visualize latency bottlenecks using timing waterfall diagrams that break down each step of an agent's execution. Inspect every function or tool call your agent makes, including arguments and results, to quickly identify and resolve issues.

Debugging Complex Agentic Workflows

When your multi-step AI agent fails or behaves unexpectedly, Fallom provides the clarity needed. Trace the entire execution path, view the exact inputs and outputs at each step (LLM calls, tool calls), and analyze timing waterfalls to pinpoint exactly where and why the failure occurred, drastically reducing mean time to resolution.

Managing and Optimizing LLM Costs

Gain control over unpredictable AI spending. Use Fallom's cost attribution dashboards to see which models, teams, or features are driving your bill. Identify inefficiencies, compare cost-performance of different models through A/B testing, and set up alerts for anomalous spend to maintain budget predictability.

Ensuring Compliance and Audit Readiness

For teams in regulated industries, Fallom automates the creation of a verifiable audit trail. Document every AI decision for compliance reviews, demonstrate user consent logging, and utilize privacy modes for sensitive data. This ensures your LLM applications meet legal and internal governance standards from day one.

Monitoring Production Reliability and Performance

Proactively ensure your AI features are reliable and fast. Set up real-time monitors on key metrics like latency, error rates, and token usage. Get alerted to performance degradation or model outages immediately, allowing you to maintain a high-quality user experience and trust in your AI-powered products.

How quickly can I integrate Fallom into my existing application?

Integration is designed to be incredibly fast. Using the OpenTelemetry-native SDK, you can typically start sending traces and seeing data in the Fallom dashboard in under 5 minutes. There's no need to change your LLM provider or application architecture.

Does Fallom support all major LLM providers and frameworks?

Yes, Fallom is provider-agnostic. Its single SDK works with every major provider like OpenAI, Anthropic, Google Gemini, and open-source models. It also integrates with popular agent frameworks (LangChain, LlamaIndex) and is 100% compatible with the OpenTelemetry standard, ensuring zero vendor lock-in.

How does Fallom handle sensitive or private user data?

Fallom offers robust privacy controls for sensitive deployments. You can enable "Privacy Mode" to disable full content capture, logging only metadata like token counts and latency. Configurable content redaction and per-environment settings allow you to balance observability needs with data protection and compliance requirements.

Can I use Fallom for A/B testing different models or prompts?

Absolutely. Fallom includes features specifically for experimentation. You can split traffic between different models (e.g., GPT-4 vs. Claude) or different versions of your prompts stored in the Prompt Store. Compare their performance, cost, and quality metrics side-by-side in the dashboard to make data-driven decisions before full rollout.