Now in Public Beta

Enterprise Search. Startup Budget.

Search billions of log entries in milliseconds, detect anomalies before they become incidents, and build data pipelines that handle compliance for you — all at a fraction of the cost of Splunk or Datadog.

Sound Familiar?

You're not the only one.

  • Your team is still grep-ing through log files to debug production issues at 3 AM.

  • You're paying enterprise prices for Splunk or Datadog — and only using <10% of the features.

  • Alert fatigue is real. 50%+ of your pages are false positives that nobody trusts anymore.

  • Log storage costs are growing faster than your revenue. Retention policies are a constant negotiation.

  • PII in logs keeps you up at night. Every audit is a fire drill.

You need a platform that solves these problems — not another tool that adds complexity.

Four Capabilities, One Platform, Zero Compromises

Everything your team needs to search, detect, connect, and transform log data — without juggling five vendors.

Lightning-Fast Search

Query billions of log entries and get results back before you finish your thought. LPQL — our purpose-built query language — lets your team filter, aggregate, and visualize with syntax they can learn in minutes, not weeks.

<200msP95 search latency

Anomaly Detection That Learns

AI-powered baselines learn your services' normal behavior and alert you when something actually matters. No more manually tuning thresholds. The system adapts to your feedback — fewer false positives over time, not more.

85%fewer false alerts

Connect Your Entire Stack

Planned native integrations with AWS, GCP, Azure, Kubernetes, Docker, and more. One-click setup, zero YAML engineering. Your logs start flowing in minutes, not days.

50+Planned Integrations

Visual ETL Pipelines

Transform, enrich, and route log data with a drag-and-drop editor. Mask PII before it hits storage, map to standard schemas, and reduce costs by filtering noise — no code required, but full JavaScript when you need it.

18node types
10B+
Logs Processed Daily
99.9%
Uptime SLA
<200ms
Search P95
50+
Planned Integrations

Trusted by Forward-Thinking Teams

See how teams are transforming their observability with LogPulse

We switched from Elastic to LogPulse and cut our observability costs by 90%. The LPQL query language is incredibly intuitive — our team was productive from day one. The AI anomaly detection caught a critical memory leak that our old alerting completely missed.
Gianno Kardjo
Senior Platform Engineer
90%
cost reduction
vs previous Elastic setup
5 min
setup
from signup to first log
200ms
search
across 2B+ daily logs
Zero
downtime
since migration

From Zero to Insights in Under 10 Minutes

No consultants needed. No 6-week implementation project.

1

Connect Your Sources

Install a lightweight agent or use native integrations. Logs start flowing immediately — AWS, GCP, Azure, Kubernetes, Docker, and more.

2

Search & Explore

Query your logs with LPQL, build dashboards, and let AI surface the patterns you'd otherwise miss. Debug production issues in minutes, not hours.

3

Detect & Respond

Anomaly detection runs automatically. When something breaks, you get a root cause analysis — not just a metric that spiked. MTTR drops from hours to minutes.

AI-Powered

Talk to Your Data

Ask questions in plain English. The AI Investigator queries your logs, correlates events, and delivers root cause analysis — so you spend less time searching and more time fixing.

AI Investigator
Online
Why are we seeing elevated error rates on the payment service in the last hour?
search_logs: source=payment-service level=error earliest=-1h | stats count by event
timeline_analysis: source=payment-service | timechart span=5m count by level
Error rates on payment-service spiked 3x starting at 14:32. The root cause is connection pool exhaustion to the payments database — 89% of errors are "connection timeout" from the pg pool. This correlates with a traffic surge from the checkout service.
Has this happened before?
Yes, a similar pattern occurred 12 days ago during a flash sale event. That incident lasted 23 minutes and self-resolved when traffic normalized. I recommend increasing the connection pool size from 20 to 50 to handle peak loads.
Ask a question about your logs...

Your AI-Powered Log Analyst

The investigator autonomously queries your data, follows leads, and builds a complete picture of what happened.

Intelligent Log Search

Automatically crafts and executes LPQL queries to find relevant log entries, errors, and patterns.

Pattern Recognition

Identifies error distributions, groups events by root cause, and spots recurring issues across services.

Historical Comparison

Compares current behavior against 30 days of history to determine if an issue is new or recurring.

Multi-Turn Conversations

Ask follow-up questions naturally. The agent remembers context and builds on previous findings.

Investigation Depth

Fast
Balanced
Deep Analysis
Visual Builder

Build Powerful ETL Pipelines

Transform, enrich, and route your log data with a drag-and-drop pipeline editor. No code required — but full JavaScript support when you need it.

Pipeline Editor
Active
TRIGGER
Webhook Trigger
EXTRACT
Fetch Metadata
TRANSFORM
Parse JSON
TRANSFORM
Redact PII
FLOW
Check Level
level = error
else
TRANSFORM
Enrich from CMDB
TRANSFORM
Normalize Fields
LOAD
Ingest → Alerts
LOAD
Ingest → Logs

Extract & Connect

Pull data from HTTP APIs, Splunk, or webhooks. Full authentication support including multi-step auth flows.

Transform & Parse

Parse JSON and CSV, map to standard schemas (ECS, OTEL, CIM), run field operations, or write custom JavaScript.

Flow Control

Add conditional branching with 11 operators, loop over arrays, and control pipeline execution flow.

PII Redaction & Compliance

Automatically mask emails, credit cards, SSNs, API keys, and more with 8 preset patterns — before data hits storage.

Trigger Modes

Scheduled
Webhook
Manual

Simple, Transparent Pricing

Beta access is live now. Official pricing launches Q2 2026.

Starter

For small teams getting started with log management

Founder Pricing

Locked in for 12 months

  • Up to 5 GB/day log ingestion
  • Full LPQL search & dashboards
  • Basic anomaly detection
  • Community support
Recommended

Growth

For teams that need advanced detection and pipelines

Founder Pricing

Locked in for 12 months

  • Everything in Starter
  • Up to 50 GB/day log ingestion
  • Advanced anomaly detection with AI investigation
  • Visual ETL pipeline builder
  • Slack & email alerting

Enterprise

For organizations with compliance and scale requirements

Custom Pricing

Contact us for details

  • Everything in Growth
  • Unlimited log ingestion
  • PII redaction & compliance pipelines
  • SLA & priority support
  • Multi-cloud & hybrid deployment
Beta Access Live

Lock In Founder Pricing

We're finalizing pricing with our beta customers. Sign up now to lock in founder rates for 12 months, regardless of what official pricing becomes.

Founder pricing locked for 12 months
Direct influence on roadmap
Dedicated onboarding support
Early access to new features
Get Started Free

Official pricing launches Q2 2026

Pricing FAQ

When will official pricing be available?+
Q2 2026. Beta customers will be notified 30 days before launch and can choose to lock in founder rates or move to standard pricing.
What happens after 12 months of founder pricing?+
You can renew at current market rates, or we'll honor founder pricing if you've been an active user — evaluated case-by-case.
Can I switch tiers during beta?+
Absolutely. Upgrade anytime, downgrade at renewal. No lock-in contracts.
Is there a free trial?+
The free plan is free forever. No credit card required, no time limit. Upgrade when you're ready.
What's included in founder pricing?+
Access to the full platform at rates 30-40% below planned official pricing. Exact amounts will be communicated before the official launch.

Ready to Stop Firefighting and Start Fixing?

Free to start. No credit card. No sales call. Your first query in under 5 minutes.