Torrix
Torrix is a self-hosted LLM observability platform built for developers who care about privacy and cost control, allowing them to track every API call without data leaving their machine.
At a Glance
- Enterprise Developers
- AI Startups
- Privacy-conscious Individual Developers
AI Tools by Torrix
(1)Torrix
Self-Hosted LLM Observability Tool
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Products & Services
Self-hosted LLM observability platform that runs as a single Docker container with SQLite. Tracks every LLM call, tokens, cost, and latency.
Extension to observe LLM API traffic and browser conversations in real time.
Market Position
Positioned as a lightweight, easier-to-deploy, and more private alternative to Langfuse and LangSmith by requiring zero external databases (like Postgres or ClickHouse).
Leadership
Founders
Adarsh Rao
13 years as an SAP integration consultant. Senior Technology Consultant at SAP and Certified SAP BTP Solution Architect. Based in Düsseldorf, Germany.
Executive Team
Adarsh Rao
Founder & Builder
Experienced SAP integration consultant with over 13 years of experience in enterprise technology infrastructure.
Founding Story
Adarsh Rao built Torrix after finding that legal teams at enterprise companies were hesitant to sign off on cloud-hosted LLM observability tools (like Helicone or LangSmith) because of data privacy concerns regarding prompts and responses.
Business Model
Revenue Model
Subscription-based licenses for the Pro version; free for community use.
Pricing Tiers
Up to 10,000 runs, self-hosted, async logging, core features.
Starts at $19/mo (rises to $49 as more features ship). Includes advanced analytics, budget hard caps, and model routing.
Target Markets
- Enterprise Developers
- AI Startups
- Privacy-conscious Individual Developers
- Enterprise internal tools (HR, Finance)
- Privacy-sensitive AI applications
- Cost management for LLM usage
- Debugging and tracing production AI calls
- Targeted at Enterprise users; names not publicly disclosed.