If your operation generates high-volume data streams where LLM reasoning at scale would create measurable value, Logswiz was built for you.
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Wherever there are high-volume digital events, there is intelligence flowing past unexamined. The constraint has never been the data or the AI, it has been the economics of reasoning over all of it.
1000×
ROI over standard LLM inference
Logswiz makes it economically viable to apply LLM reasoning to 100% of your event stream, regardless of volume.
100%
Event coverage guarantee
No sampling policy. Every event reasoned over. The signal you need is never in a pile we skipped.
<1ms
Per-event reasoning latency
Real-time intelligence that keeps pace with your data stream. Not a batch job that tells you what happened yesterday.
What becomes possible when LLM reasoning runs over 100% of the data.
A global logistics network applied LLM reasoning to 100% of shipment events — reducing exceptions, delays, and customer escalations by 41% by surfacing predicti...
Read More →A multinational energy company began detecting grid instability signals 6 hours earlier than their existing monitoring system — by applying LLM reasoning to 100...
Read More →A global retail chain reduced inventory shrinkage by $28M annually by applying LLM reasoning to 100% of transaction events — identifying organized retail crime ...
Read More →We start by understanding your event volume, data sources, and what intelligence you need to extract from them.
Kafka, Kinesis, S3, webhooks, or any standard connector. 100% of events ingested, nothing dropped.
Logswiz applies LLM intelligence to every event, surfacing the patterns, signals, and anomalies your domain demands.
Enriched, structured output delivered to your dashboards, data warehouse, or operational tools in real time.
1000× y
Cost to reason over x volume of data
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 value Logswiz delivers comes from two compounding factors: the volume of events it reasons over that were previously invisible, and the reliability of the output that makes LLM inference genuinely trustworthy at scale.
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?"
Get Started Free →Tell us about your data stream and we'll show you what LLM reasoning at 1000× ROI looks like for your specific domain.