Production-grade AI · 1000× ROI

Stop sampling
your intelligence.

Logswiz applies AI reasoning to 100% of your high-scale data without the prohibitive cost of traditional inference.

No credit card required · Up and running in minutes

SECURITY FINANCE DEVOPS MFG ANY STREAM 142,857 /s CLASSIFIED SCORED REASONED VALIDATED ACTIONED SIEM / SOC DASHBOARD WEBHOOK TICKET / JIRA DATA STORE INPUT STREAMS AI REASONING ENGINE INTELLIGENCE OUTPUT DESTINATIONS
Coverage 100%
Tasks/sec 142,857
ROI 1000×
Reliability 99.99%
The Shift

What becomes possible when
GPT reasons over every event.

Every second, your infrastructure generates thousands of events,logs, transactions, signals,each one carrying intelligence you'll never extract, because reasoning over all of them was never financially possible. Until now.

Scale

Every event. Not a sample.

Logswiz processes every single event in your stream,not a fraction of it. The intelligence you get is built on complete information, not statistical approximations.

Reliability

A model you can build on.

Production-grade consistency, not experimental outputs. Logswiz delivers deterministic, auditable reasoning you can integrate into business-critical workflows with confidence.

ROI

1000× the return.

Logswiz delivers returns that make full automation,across every high-frequency task in your operation,not just viable, but the obvious decision for any business case.

Before Logswiz

AI reasoning reserved for a fraction of your data,the rest processed by rules, heuristics, or not at all.

Teams reason over a fraction of their events. The rest flows past unexamined, because applying LLM intelligence to all of it was never financially justifiable.

Insights built on sampled data,statistically useful, but structurally incomplete.

With Logswiz

Every event in your stream is reasoned over by a reliable AI model,in real time, at any volume.

Every signal examined. Logswiz applies LLM intelligence to your full data stream, so nothing consequential flows past unread.

A 1000× ROI that turns full-coverage AI from a budget conversation into a business imperative.

INFERENCE.COST
// SAME DATA VOLUME. SAME LLM REASONING.
// RADICALLY DIFFERENT INFERENCE COST.
Standard LLM inference
1000× y

Cost to reason over x volume of data

Logswiz
y

Same x volume. Same reasoning. Fraction of the cost.

Inference cost ratio

1000×

less to reason over the same data

Which means

Full coverage
becomes viable

// SAME MODEL. SAME OUTPUT. 1000× THE ROI.

The Economics of Intelligence

1000× ROI.
Not a projection.
A starting point.

The value Logswiz delivers comes from two compounding factors: the volume of events it reasons over that were previously ignored or sampled, and the reliability of the output that makes LLM inference genuinely trustworthy.

Together, they produce a return on investment that reframes the question entirely, not "can we afford to do this?" but "what has it been costing us not to?"

Full-coverage AI is no longer a future aspiration. It's a present-day business decision.

See the ROI for your stack →
Use Cases

Wherever high-volume events
demand real intelligence.

Logswiz is domain-agnostic. The same engine, applied to any stream where reliable AI reasoning at scale creates measurable value.

The Platform

Built for volume.
Not repurposed for it.

Logswiz is a purpose-built reasoning engine,not a general-purpose model adapted for scale. Every architectural decision optimizes for reliability, throughput, and ROI at petabyte volumes.

Architecture

Purpose-built inference

Designed from the ground up for machine-generated, high-volume data,not adapted from chat models.

Reliability

Deterministic outputs

Auditable, consistent reasoning you can integrate into business-critical pipelines and depend on in production.

Performance

Sub-millisecond latency

Reasoning that keeps pace with your data stream,real-time intelligence, not batch retrospectives.

Integration

Any stream, minutes not months

Kafka, Kinesis, S3, OTEL, syslog,if your data flows, Logswiz connects with no infrastructure overhaul.

Get Started

Stop Sampling.
Start Knowing.

See what 1000× ROI looks like for your specific workload,with a model reliable enough to put into production.

Built for the next trillion events.