Applicare Intelligence is the AI layer of Applicare — four engines that catch anomalies in under a second, pinpoint causal root cause in plain English, and remediate 80% of production incidents before a human is paged.
No credit card · 30-min demo · Read-only sandbox · No prep required
Trusted by engineering teams at·AeroMexico·Leading Private Bank·NTT DATA·Mediclinic·Danube Group·ONP·ATN·Abril·Seygen·AeroMexico·Leading Private Bank·NTT DATA·Mediclinic·
<1s
AI anomaly detection (IntelliSense)
3 min
Causal root cause (IntelliTrace)
80%
Incidents auto-remediated (IntelliTune)
How it works
Four AI engines. One platform.
IntelliSense — anomaly detection
Behavioral baselining across 10M+ events per day. Anomalies surface in under a second — before they cascade into incidents.
<1s detection · 10M+ events/day
IntelliTune — autonomous remediation
200+ remediation patterns execute in 400ms within policy gates. 80% of on-call pages never happen — IntelliTune already handled them.
IntelliTrace — causal root cause
Causal inference, not correlation. Slow spans linked to service, method, and exact git commit. From trace to commit in 3 minutes — 3× faster than legacy APM.
ArcIn — plain-English answers
Ask why an incident happened in natural language. Get the cause, the commit, and the runbook. No SPL. No KQL. No war rooms.
Applicare — Intelligence⬤ Live
MTTR this week
11 min
↓ from 4.5 hrs
On-call pages
4
↓ 80% vs last month
Deploy #6205
Regression
checkout-svc · +340ms
Auto-remediations
4 today
0 pages fired
🧠 ArcIn: Deploy #6205: N+1 in OrderRepository. IntelliTune: rollback triggered in 380ms. 0 user impact. 0 pages fired.
Capabilities
What Applicare Intelligence delivers.
AI Anomaly Detection
IntelliSense baselines behavior across 10M+ events/day. Anomalies surfaced in under a second — before they become incidents.
Autonomous Remediation
IntelliTune ships with 200+ remediation patterns — OOMKills, pool exhaustion, cert expiry — executing in 400ms within policy gates.
Causal Root Cause
IntelliTrace uses causal inference — not correlation. From trace to commit in 3 minutes. 3× faster RCA than legacy APM.
Code-Level Attribution
Slow spans linked to service class, method, and git commit. From signal to source in one click — no SRE escalation needed.
Plain-English Queries
Ask ArcIn anything across 1M log lines/sec in natural language. No SPL. No KQL. Just the answer, with the runbook attached.
Zero-Sampling Telemetry
10M spans/minute with full fidelity — no sampling, no blind spots. The AI engines reason over every signal, not a statistical sample.
Proven in production
AI in production. Real outcomes. Named customers.
Aerospace · Mexico
AeroMexico
4.5h → 11min
MTTR cut 96% on digital ticketing after IntelliTune caught a checkout regression mid-rollout.
Financial Services
Leading Private Bank
3.2h → 18min
MTTR drop in the first month of deployment. Code-level attribution shortened RCA from hours to minutes.
IT Services · Global
NTT DATA
80% ↓
On-call pages reduced 80% after IntelliTune auto-remediation took ownership of recurring patterns.