Private Developer Alpha: We are currently in active development. Try the live interactive trace demo below.
Company & Mission

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.

Our Thesis

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

01
Zero Added Latency OverheadAll trace buffering and eval assertions execute strictly asynchronously.
02
Zero Payload Retention ModeCustomer raw inputs stay in customer environments. Only metadata leaves your VPC.
03
Honest Developer ToolsNo inflated claims, no artificial lock-in, open OpenTelemetry data models.
Leadership & Founding Team

Built by engineers, for engineers.

SynapTrace is an early-stage startup currently bootstrapped and actively developing the core telemetry engine.

Jessie Marin

Founder & Core Architect

Focusing on low-overhead distributed tracing architectures, OpenTelemetry instrumentation pipelines, and automated LLM runtime evaluation guardrails.

Early Contributors

Interested in shaping the next generation of AI agent observability? We welcome open feedback from early engineers.

Get in touch →
Transparency Disclosure: SynapTrace is currently in early-stage development (Private Developer Alpha). We do not list fabricated customer testimonials, synthetic metrics, or unearned awards. What you see is what we are actively engineering.