Gnatrix
Premium search-first log infrastructure
Built for long-range search at scale

Your log queries shouldn’t timeout.

Gnatrix is a premium, search-first platform for high-volume log environments, designed to deliver streaming results across massive datasets with the polish, speed, and operational confidence modern infrastructure teams expect.

Streaming
Insights appear progressively while scans continue
Search-first
Designed for long windows and large datasets
Controlled
On-prem or hybrid deployment by design
Live query session
Long-range search preview
Streaming
from logs | where level = "error" and range = last_30_days
[00.8s] auth-service → 14,231 matches
[01.3s] payment-core → 9,842 matches
[02.0s] checkout-api → 6,118 matches
[02.9s] settlement-service → 4,907 matches
1.2 TB
scanned dataset
2.9s
first critical insights
240
segments in motion
Built for
High-scale infrastructure teams
Positioning
Search-first log platform
Deployment
On-prem or hybrid
Experience
Premium workflow, enterprise-ready
Product

Premium UX for serious infrastructure teams

A refined interface and focused architecture designed to make large-scale log search feel immediate, controlled, and operationally credible.

Streaming Results

See relevant output as data is scanned instead of waiting for the full job to complete.

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Multi-terabyte Search

Optimized for long-range queries across large log volumes without collapsing into slow workflows.

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Operational Control

Deploy on-prem or hybrid with architecture choices that respect performance, data, and compliance.

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Performance

Designed for search-first performance, not just ingestion.

Traditional stacks often prioritize storage and recent data first. Gnatrix is built to preserve fast search behavior across wider windows, larger volumes, and more demanding operational workflows.

Long-range queries

Built to handle broader search windows without degrading into unusable wait times.

Progressive visibility

Delivers earlier insights so teams can act before the entire scan completes.

Efficient scan model

Leverages segment-oriented behavior aligned with sequential storage patterns.

Focused architecture

Separates the core log search problem from bloated observability scope.

Architecture

Built with infrastructure discipline.

Durable writes, segmented storage, and parallel query execution are treated as first-class principles rather than afterthoughts.

Write-ahead log for durability
Segment-based storage for efficient scan behavior
Parallel query execution across nodes
Separation of ingestion and read paths
Why it stands out

Premium product experience without losing technical credibility.

The interface is clean enough for executive confidence, but sharp enough for engineers who care about real architecture, real search behavior, and real operational constraints.

Clear search-first positioning
Enterprise-ready visual language
Focused scope instead of observability sprawl
Early access

Start searching logs the way it should work.

Join early users and design partners shaping a faster, cleaner, more credible future for large-scale log search.