AI SRE · Deployed in Your VPC

LogClaw watches your backend, infrastructure, and distributed systems 24/7, 365.

An AI SRE that ingests terabytes of logs per day, detects incidents before your users do, and alerts you over Slack, email, or PagerDuty with full root cause analysis. Two lines of code to set up. Zero alerts to configure.

2 lines to integrate90-second detectionOpen source · Apache 2.0
LogClaw Demo
~2 min

The numbers behind the shift

$7.9B
Log management market by 2030
48.5%
of enterprises adopted OpenTelemetry
174 min
avg MTTR before LogClaw
80–90%
cost savings vs Splunk/Datadog
174 min
< 90 sec
Mean Time to Resolution
Industry avg vs LogClaw
$1.2M
$38K
Annual Observability Cost
Splunk at 500GB/day vs LogClaw
5 tools
1 agent
Monitoring Stack
Replace, don't add
3 FTEs
0 FTEs
Dedicated Observability Staff
LogClaw runs autonomously

From log noise to resolved incident in 90 seconds

Three steps. Zero manual intervention.

Step 1

Connect your stack

Connect your existing stack — Splunk, Datadog, CloudWatch — or send logs directly from any app with two lines of code. Python, Node, Java, Go — any language with OpenTelemetry support works out of the box.

+4 more
from opentelemetry.sdk._logs import LoggerProvider
from opentelemetry.sdk._logs.export import BatchLogRecordProcessor
from opentelemetry.exporter.otlp.proto.http._log_exporter import OTLPLogExporter
 
exporter = OTLPLogExporter(
endpoint="https://otel.logclaw.ai/v1/logs",
headers={"x-logclaw-api-key": "lc_proj_..."},
)
provider = LoggerProvider()
provider.add_log_record_processor(BatchLogRecordProcessor(exporter))
Or connect your existing stack
Splunk
Datadog
CloudWatch
New Relic
Dynatrace
OTel
Step 2

AI detects anomalies 24/7

Our ML pipeline processes terabytes of logs in real-time. Pattern recognition, anomaly detection, and cross-service correlation — running autonomously in your cloud, around the clock.

Real-time anomaly detection
[INFO]payment-svc: Transaction processed 142ms
[INFO]user-auth: Token refreshed successfully
[WARN]gateway: Latency spike detected 2.3s
[ANOMALY]payment-svc: DB connection pool exhausted
[AI SRE]Correlating across 3 services...
Step 3

Incident ticket in 90 seconds

LogClaw auto-creates a detailed Jira or ServiceNow ticket with root cause analysis, blast radius, relevant log traces, and a suggested fix. Your team wakes up to solutions, not alarms.

J
PROD-1847
Critical

DB Connection Pool Exhaustion — payment-svc

Connection pool max (50) reached. Payment transactions failing with timeout errors. Blast radius: payment-svc, order-svc, notification-svc.

Root CauseLeaked connections in retry loop
Suggested FixAdd connection.close() in finally block
Time to Ticket47 seconds

Stop paying for dashboards you stare at

LogClaw replaces the tooling and the toil.

Annual Cost (500GB/day)
Splunk: $1.2M · Datadog: $509K (license + infra + 3 FTEs)
Your infrastructure cost only — no per-GB fees, 0 FTEs
Deployment
Their cloud — logs leave your VPC, your jurisdiction
Your cloud (AWS / Azure / GCP). Logs never leave.
Anomaly Detection
Manual SPL queries + static alert thresholds
Autonomous ML pipeline — detects anomalies 24/7
Incident Response
Alert fires → human wakes up → manual triage
Auto-creates ticket with AI root cause + suggested fix
Time to Resolution
174 min avg MTTR (industry benchmark)
Under 90 seconds — fully autonomous
Vendor Lock-in
SPL, DQL, proprietary agents — years to migrate
Open source (Apache 2.0) + OpenTelemetry standard
SOC 2 / Data Risk
Logs on vendor servers = data residency risk
Logs stay in your VPC — no vendor data risk to audit.

Not ready to rip and replace? LogClaw works alongside your existing Datadog or Splunk deployment. Parasitic connectors tap into your existing pipelines.

Book a Demo to See How
Compliance Risk Alert

Your observability vendor may be your
biggest SOC 2 risk

Every log you ship to Splunk Cloud or Datadog leaves your trust boundary. That's a data residency, access control, and vendor risk problem your auditor will flag.

With Splunk / Datadog

Data Residency Violation
Logs shipped to vendor servers outside your jurisdiction
Access Control Gap
No control over who accesses your data at the vendor
Third-Party Risk
Vendor breach = your data exposed, your liability
Incident Response Failure
72-hour breach notification impossible when you don't own the infrastructure

With LogClaw

  • Full data residency control
    Logs never leave your VPC. Deploy in any region.
  • You own the access controls
    SSO, RBAC, audit trails. No vendor backdoors.
  • Zero third-party data exposure
    Open source. Audit every line. No vendor risk questionnaire needed.
  • 72-hour breach notification? Try real-time.
    Anomaly detection + auto-ticketing in under 90 seconds.

Built for enterprise from day one

Self-hosted, compliant, and secure. LogClaw runs inside your trust boundary.

VPC Deployment

Runs entirely inside your AWS, Azure, or GCP account. Your data never leaves your infrastructure.

Simplifies SOC 2 Compliance

Your logs never leave your VPC — no vendor data risk, no third-party access, no data residency violations. Keeps your SOC 2 audit clean.

SSO & RBAC

SAML/OIDC single sign-on and role-based access control. Integrate with your existing identity provider.

Open Source Core

Fully open-source under Apache 2.0. Audit every line of code. No black boxes.

Cloud-Native Architecture

Kubernetes-native. Helm charts included. Scales horizontally with your log volume.

OpenTelemetry Native

OTLP-native ingestion — the CNCF standard adopted by 48.5% of enterprises. No proprietary agents or forwarders.

Dedicated Support

Enterprise customers get a dedicated SRE team for deployment, configuration, and ongoing optimization.

Why engineering teams choose LogClaw

Automation over augmentation. Action over visualization.

Parasitic Connectors

Connect to Splunk, Datadog, New Relic, Dynatrace, and CloudWatch without migrating a single log line. LogClaw taps into your existing pipelines.

Journey Map, Not Log Lines

Instead of dumping thousands of lines, LogClaw builds a Journey Map that traces the blast radius across services and dependencies — one narrative, end-to-end.

Autonomous Ticket Lifecycle

From ingestion to ticket in 90 seconds. Auto-creates Jira/ServiceNow tickets with full reproduction traces, root cause analysis, and suggested code fixes.

Context-Aware AI

Smart log sampling solves LLM context limits. LogClaw retrieves statistical aggregates first, then pulls only the relevant trace lines for the correlated anomaly.

Bring Your Own LLM

Use OpenAI, Anthropic Claude, or run local models with Ollama. Full control over your AI stack. No vendor lock-in at any layer.

Slack-First Debugging

Get Slack alerts with full incident context. Chat with LogClaw directly in Slack to drill into root cause without leaving your workflow.

Pricing that makes Datadog jealous

Splunk costs $1.2M/yr at 500GB/day. Datadog costs $509K. LogClaw Cloud? $54K — with AI anomaly detection and auto-ticketing included.

Open Source

Self-host on your infrastructure

Free
forever — Apache 2.0
  • Full LogClaw platform (Apache 2.0)
  • Unlimited log volume
  • All connectors and integrations
  • Community support via GitHub
  • Bring your own LLM (Ollama, OpenAI, Claude)
Deploy from GitHub
Most Popular

Enterprise

Runs inside your VPC — zero data egress

Custom
logclaw.{yourcompany.com}
  • Deployed 100% inside your VPC — logs never leave
  • AWS, Azure, GCP — any region, any cloud
  • SSO, RBAC, and immutable audit trails
  • Custom retention policies + connectors
  • Dedicated SRE team + SLA guarantees
Book a Demo

Managed Cloud

We host everything — start in minutes

$0.30/GB
ingested · 1 GB/day free
  • 1 GB/day free — no credit card required
  • AI anomaly detection + auto-ticketing included
  • 9-day log + 97-day incident retention
  • Unlimited team members — zero per-seat fees
  • Fully managed — OTEL endpoint in seconds
  • No per-host fees — instrument everything
Start Free

See exactly how much you save

LogClaw Cloud at $0.30/GB — no per-seat, per-host, or hidden fees. Just logs in, insights out.

Daily VolumeLogClaw CloudDatadogSplunkNew Relic
10 GB/day$90/mo$850/mo$2,000/mo$580/mo
50 GB/day$450/mo$4,200/mo$10,000/mo$2,900/mo
100 GB/day$900/mo$8,500/mo$20,000/mo$5,800/mo
500 GB/day$4,500/mo$42,400/mo$100,000/mo$29,100/mo

Competitor pricing based on publicly available list prices (March 2026). Datadog includes log ingestion + infrastructure host fees. New Relic includes per-GB + full platform user seats. Actual costs vary by contract.

$0
per seat — unlimited team members
$0
per host — instrument everything
$0
for AI features — anomaly detection + auto-ticketing included

Your auditor will ask where your logs live.
Have a better answer.

LogClaw deploys inside your VPC. AI anomaly detection and auto-ticketing in under 90 seconds — with zero data egress.

Stop shipping your logs to someone else's cloud.