Logswiz applies LLM reasoning to 100% of your transaction stream, fraud signals, compliance events, and risk patterns, at a scale and ROI that makes full coverage the obvious decision.
No credit card required · Up and running in minutes
Financial institutions sample transaction data to survive inference costs. Coordinated fraud patterns, compliance gaps, and risk signals are almost always in the volume that gets dropped.
70%
Of fraud losses from sampled-out patterns
Coordinated attacks deliberately operate below individual alert thresholds. They only emerge at full transaction volume.
<15%
Of transactions analyzed by avg. system
Cost constraints force teams to choose what to analyze. The patterns that matter are rarely in the 15% they chose.
100%
Logswiz event coverage
Every transaction event reasoned over by LLM intelligence in real time. No sampling. No dropped context.
What becomes possible when LLM reasoning runs over 100% of the data.
A Tier-1 investment bank identified a coordinated fraud ring operating across 2,400 accounts using micro-transaction patterns that were individually below every...
Read More →A retail banking group achieved genuine real-time AML compliance across 14 million daily transactions — a requirement regulators had flagged as unmet for three ...
Read More →A global insurance underwriter reduced claims fraud losses by 34% in the first year by applying LLM reasoning to 100% of claims events — surfacing organized fra...
Read More →Ingest from payment processors, core banking, and any event source. 100% of transactions, no sampling policy.
LLM intelligence scores each transaction, detects coordinated patterns, and flags compliance signals at sub-millisecond latency.
Risk scores, fraud flags, and compliance signals with full reasoning traces delivered to your systems in real time.
Connect to your fraud platform, data warehouse, or compliance tooling via standard APIs. No rip-and-replace required.
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 financial events it reasons over that were previously invisible, 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?"
Get Started Free →See what 100% transaction coverage looks like for your financial stack, with a model reliable enough for production.