AI TOOL PROFILE
Fallom: LLM Observability and OTEL Tracing
- Software Development
- Observability Platform
- 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.
At a glance
- Best for
- Software companies, Engineering teams building AI agents, Teams in regulated industries, LLM application developers
- Key use cases
- Cost Monitoring, Latency Debugging, Quality Assurance, Compliance Auditing
- Integrations
- OpenAI, Anthropic, Google Gemini, OpenRouter, Vercel AI SDK
- Official website
- Visit Fallom official website
How AI is used
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
OpenTelemetry Tracing
Captures LLM calls, tool invocations, and responses with timing and token usage.
Cost Attribution
Tracks spend per model, user, or team to provide visibility into AI operational costs.
LLM Evaluations
Uses G-Eval methodology with seven built-in metrics to measure response quality and detect regressions.
Compliance Tools
Provides immutable interaction logs and audit trails to help support GDPR, SOC 2, and EU AI Act requirements.
Model A/B Testing
Supports splitting traffic between different models to compare performance, speed, and cost.
Privacy Mode
Includes configurable content redaction to protect sensitive data while maintaining telemetry.
Prompt Version Control
A prompt store for versioning, testing, and deploying prompt variations.
Use Cases
Cost Monitoring
Attributing LLM expenses to specific users, teams, or models for budgeting.
Latency Debugging
Using timing waterfalls to identify bottlenecks in multi-step AI agent workflows.
Quality Assurance
Running evaluations on production traces to monitor for hallucinations or toxicity.
Compliance Auditing
Maintaining immutable logs of AI interactions to support regulatory transparency requirements.
Integrations
- OpenAI
- Anthropic
- Google Gemini
- OpenRouter
- Vercel AI SDK
- LangChain
- Agno
FAQ
Who is Fallom designed for?
- Fallom is designed for engineering teams and software companies that are building and deploying LLM applications and AI agents.
What LLM providers does Fallom support?
- It supports providers including OpenAI, Anthropic, Google Gemini, and OpenRouter, as well as frameworks like LangChain and the Vercel AI SDK.
How does the pricing vary between plans?
- 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
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