LogClaw — AI SRE That Deploys in Your VPC

AI SRE · Deployed in Your VPC

Your logs never leave your VPC.
Our AI SRE watches 24/7.

LogClaw deploys inside your AWS, Azure, or GCP account — monitors your logs around the clock, detects anomalies in real-time, and auto-creates incident tickets with root cause analysis. Your data never crosses a trust boundary.

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Logs stay in your VPCSOC 2 Type II readyOpen source · Apache 2.0

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

Works where your team works

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.

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.

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.

Feature	Datadog / Splunk	LogClaw
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 Compliance |

Logs on vendor servers = data residency risk

Full data sovereignty. You own the audit trail.

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.

Talk to Us About Compliance

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.

SOC 2 Type II Ready

Full data residency control, RBAC, immutable audit trails, and real-time breach detection — without the vendor risk that SaaS observability creates.

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

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 Volume	LogClaw Cloud	Datadog	Splunk	New 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.

per seat — unlimited team members

per host — instrument everything

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.