Syncro Coming

Your systems have rhythm.
Nobody is listening.

Distributed systems and AI agent fleets exhibit temporal patterns that existing monitoring tools cannot detect. Syncro listens for what others miss.

The problem nobody sees

You shipped agents to production. Intermittent coordination failures look random. Periodic API error spikes, degraded quality at load, retry storms. Your post-mortems produce no root cause because existing tools were not built to find it.

Current observability shows individual traces that look fine. The failure pattern emerges from temporal dynamics that no single trace reveals. You are measuring amplitude when you need to measure phase.

Experiment 001
Alibaba Cluster Trace 2018
~4,000 machines|71,476 containers|8 days telemetry|1,995 sampled across 24 groups
0%

show temporal structure

0 min

dominant period

0x

within/between ratio

0

Cohen d (large effect)

Top coherent groupsmean temporal coherence
app_2683
0.5775 containers
app_8384
0.4662 containers
app_141
0.45483 containers
app_6217
0.4177 containers
app_9297
0.3498 containers

Null model validation

Real within-group0.2712
Phase-randomized surrogate0.026

t = 20.575, p = 1.09e-78. 500 pairs tested.

Key findings

Source: kairos/research/experiment-001. Validated on Alibaba Cluster Trace 2018 (public dataset). Proprietary temporal analysis. Patent pending.

What Syncro reveals

Coordination state

Is your agent fleet synchronized or drifting? Syncro measures the coherence of your distributed system as a whole, not trace by trace.

Drift detection

When coordination begins to degrade, Syncro detects the change in temporal structure. The goal: warning before failures cascade.

Rhythm source

Which service is driving the tempo of your system? Early experiments show promising signals for pacemaker identification. Active research.

Interference detection

When services fall out of phase with each other, temporal analysis can reveal the pattern. Under active validation.

Novel approach

A fundamentally different method of analyzing distributed system behavior. Not an incremental improvement on existing observability.

Signal validated

Internal experiments have detected temporal structure in real infrastructure telemetry with strong statistical significance.

Unserved market

No vendor in the observability space offers what Syncro detects. We are building the category.

Interested in early access?

If you are running 10+ AI agents in production and have experienced coordination-related incidents, we want to talk.

Get in touch