LLM Tracing and Observability
Understand agentic paths and be confident your AI behaves as it should, without any guesswork.
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The INTELLITHING tracing layer captures a structured record of each request
Modern generative AI systems introduce a new operational challenge for enterprises: understanding what actually happened inside a model or workflow. When responses are streamed, when orchestration choices shift dynamically and when chains of logic branch dozens of times, the simple question of “what happened and why” becomes difficult to answer. INTELLITHING solves this through a tracing system that brings complete transparency, auditability and accountability to every LLM interaction.
Trace the full lifecycle of your queries
Trace and measure every model and tool call in real time
Capture live performance, cost and quality signals across every call so you can pinpoint bottlenecks, control spend and improve reliability with evidence, not guesswork
Governance and auditability by design
Every trace is identity bound, permission gated and retained as tamper resistant evidence, giving compliance teams clear accountability at organisational, workspace and project levels.
Built on OpenTelemetry for AI Observability
Operates seamlessly across LLM-based APIs, retrieval-augmented generation pipelines, autonomous agents, and intricate multi-agent systems.
Enterprise Ready
INTELLITHING is designed so data never leaves your environment. The control and compute planes run entirely in your VPC, with fine-grained identity and access management, audit trails, and secure routing. We’ve embedded the principles of SOC 2 and ISO 27001 into our architecture from the start ensuring you’re compliance-ready today and certification-ready tomorrow.
Secure by Design
Data never leaves your environment. Identity and access are enforced at every step.
Experience INTELLITHING in action.
Request a live demo or see how the Operating Layer transforms enterprise AI.