ReductrAI — Observability That Thinks.

The Problem

Observability tools show data.
They don't understand it.

You pay $500K/year for dashboards. When something breaks, three engineers still spend an hour hunting through graphs. The "AI" is just threshold alerts.

Datadog / Dynatrace

500 alerts fire

3 matter. Good luck finding them.

ReductrAI

"Redis is down"

Root cause. One sentence. No hunting.

Datadog / Dynatrace

$500K+/year

Per-host, per-GB, per-metric pricing

ReductrAI

Flat rate

No surprise bills. No per-GB gotchas.

How It Works

Ask. Don't hunt.

Natural language queries against your entire observability stack. The AI understands your system topology, learns what's normal, and tells you what's actually wrong.

reductrai query

$ Why is checkout slow?

            Root Cause Found

            Checkout API latency spiked to 2.3s at 3:47 AM.

            Causal chain:

            Redis replica redis-east-2 fell behind primary by 847ms

            → caused by memory pressure from batch job nightly-sync

            → batch job started at 2:47 AM (normally runs at 4 AM)

            → config change in deploy #4521 changed cron schedule

Sources: api-gateway logs, redis metrics, k8s events, deploy history

Topology AwareAuto-discovers services, dependencies,
and normal patterns. No configuration.

Causal ReasoningTraces the chain of events to the root.
Not "5 things are red" but "here's why."

Learns ContinuouslyGets smarter over time. Remembers
past incidents. Predicts failures.

Capabilities

Intelligence that learns
your system.

Not another dashboard. An AI that understands topology, detects anomalies, correlates events, and predicts failures before they happen.

Natural Language Queries

"Why is the API slow?" "What changed since yesterday?" "Is this deploy safe?" Ask questions, get answers. No query language to learn.

Anomaly Detection

Statistical baselines that learn what's normal for your system. Z-score, IQR, and MAD detection. Adapts over time, not static thresholds.

Root Cause Analysis

Traces the causal chain from symptom to source. "Service A timeout caused queue backup caused API latency." Not just correlation — causation.

Service Discovery

Auto-discovers services, dependencies, and call patterns. Builds a live topology map without configuration. Knows what talks to what.

Predictive Alerts

"Connection pool will exhaust in 2 hours at current rate." "This deploy pattern caused an incident 3 weeks ago." Prevent, don't react.

Universal Proxy

Drop-in proxy that works with any monitoring vendor. Keep your existing tools. We add the intelligence layer on top.

Built For

Teams tired of
alert fatigue.

Platform Teams

Stop being the bottleneck.

Let developers ask questions directly. No more "can you check the dashboard?" The system explains itself.

SREs

3 AM pages that make sense.

Get the root cause in the alert, not a dashboard link. Fix the issue and go back to sleep.

Engineering Leads

Cut observability spend 90%.

Flat rate pricing. No per-GB surprises. No dedicated "Datadog team" to configure dashboards.

DevOps

Works with what you have.

Universal proxy integrates with any monitoring stack. Keep Prometheus, add intelligence.