Fallom: LLM Observability and OTEL Tracing
Fallom helps software companies monitor their AI agents and LLM calls. It is designed for teams that need to attribute costs per user or maintain audit trails for regulatory compliance.
At a glance
- Category
- Software Development
- Best for
- Software companies, Engineering teams building AI agents, Teams in regulated industries, LLM application developers
- Pricing
- Plans include a free tier, a Pro plan at $49/month, and a Startup plan at $249/month, with custom Enterprise pricing available.
- Key use cases
- Cost Monitoring, Latency Debugging, Quality Assurance, Compliance Auditing
- Integrations
- OpenAI, Anthropic, Google Gemini, OpenRouter, Vercel AI SDK
- Official website
- fallom.com
Fallom is an observability platform designed for engineering teams building LLM-powered applications. It uses OpenTelemetry (OTEL) tracing to capture details of LLM calls, including tokens used, latency, and model responses.
The tool provides visibility into AI agent workflows through timing waterfalls and tool call visibility to help identify where delays occur in multi-step processes. It also includes evaluation tools to measure output quality using a set of built-in metrics.
For businesses in regulated industries, the platform provides audit trails and privacy controls, such as content redaction, to help support compliance with standards like GDPR, SOC 2, and the EU AI Act.
Buyers should confirm if the data retention periods in the available tiers align with their compliance and debugging requirements, as retention varies from 7 to 30 days depending on the plan.
Key Features
Captures LLM calls, tool invocations, and responses with timing and token usage.
Tracks spend per model, user, or team to provide visibility into AI operational costs.
Uses G-Eval methodology with seven built-in metrics to measure response quality and detect regressions.
Provides immutable interaction logs and audit trails to help support GDPR, SOC 2, and EU AI Act requirements.
Supports splitting traffic between different models to compare performance, speed, and cost.
Includes configurable content redaction to protect sensitive data while maintaining telemetry.
A prompt store for versioning, testing, and deploying prompt variations.
Use Cases
Attributing LLM expenses to specific users, teams, or models for budgeting.
Using timing waterfalls to identify bottlenecks in multi-step AI agent workflows.
Running evaluations on production traces to monitor for hallucinations or toxicity.
Maintaining immutable logs of AI interactions to support regulatory transparency requirements.
Best For
Integrations
Pricing
Plans include a free tier, a Pro plan at $49/month, and a Startup plan at $249/month, with custom Enterprise pricing available.
FAQ
Fallom is designed for engineering teams and software companies that are building and deploying LLM applications and AI agents.
It supports providers including OpenAI, Anthropic, Google Gemini, and OpenRouter, as well as frameworks like LangChain and the Vercel AI SDK.
The Free plan includes 1M spans and 7-day retention. The Pro plan ($49/month) offers unlimited spans and 14-day retention, while the Startup plan ($249/month) increases retention to 30 days.
Source category: Software Development
Source subcategory: Observability Platform
