Building the reliability foundation for autonomous AI agents.
SynapTrace was founded on a simple observation: as software transitions from procedural code to non-deterministic LLM agents, our observability stack must evolve from static log search to dynamic reasoning-chain verification.
When software thinks instead of runs, failures become probabilistic.
In standard web applications, a bug throws a stack trace. In multi-step AI agents, a failure looks like a polite hallucinated answer, an infinite tool-calling loop, or an unbudgeted 40k-token prompt payload.
Existing infrastructure tools were never designed for multi-turn cognitive workflows. SynapTrace provides the specialized telemetry, DAG tracing, and runtime circuit breakers developers need to safely deploy autonomous software.
Our Core Principles
Built by engineers, for engineers.
SynapTrace is an early-stage startup currently bootstrapped and actively developing the core telemetry engine.
Jessie Marin
Founder & Core ArchitectFocusing on low-overhead distributed tracing architectures, OpenTelemetry instrumentation pipelines, and automated LLM runtime evaluation guardrails.
Interested in shaping the next generation of AI agent observability? We welcome open feedback from early engineers.
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