NeoMundi adds a real-time runtime signal layer to AI agents and LLM systems. Detect drift, expose actionable runtime telemetry, and trigger decisions while your agents run. Use the signal to stop, retry, reroute, escalate to humans, or govern agent behavior in real time. For LLM systems, runtime signals may reveal the point of maximum useful information before drift, noise, and token inflation begin. 5-minute integration. 100 free requests. Win 1000 for feedback
Most AI systems generate first and evaluate later.
We want to explore something different:
What happens when agents can react during generation itself?
Start with 100 free requests.
Builders experimenting with runtime AI signals can request 1000 additional requests in exchange for feedback.
NeoMundi adds a real-time AI signal layer developers can plug into existing AI stacks in minutes.
The signal can be used to:
stop execution
retry
reroute
escalate to humans
log runtime decisions
For LLM systems, runtime signals may reveal the point of maximum useful information — before drift, noise, and token inflation begin.
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Maker
NeoMundi is not trying to replace your model.
It adds a runtime signal layer your agents and workflows can actually react to.
NeoMundi is not trying to replace your model.
It adds a runtime signal layer your agents and workflows can actually react to.
Stop. Retry. Escalate. Reroute. Observe drift live.
We’re looking for builders willing to pressure-test the architecture with us.