Real Outcomes + Verified Numbers

AI bills,
Dramatically lower.

Read verified performance benchmarks from engineering leads and SRE teams utilizing Fivo Gateway, Fivo Cell, and Fivo Connect to optimize LLM configurations globally.

94%
Max Cost Reduction
<45ms
Voice Agent Latency
4.2M
PHI Files Secured
12x
Hospital VPC Savings
99.2%
Quality Retained
0 ms
Outage Failover Speed
Benchmark: Billing Optimization Workload Simulation

Simulated high-volume FinTech workload costs reduced by 94%

We reproduced a high-frequency financial auditing pipeline compiling transaction logs and audit briefs. Running direct API calls generated a simulated cost projection of $180,000 monthly.

By routing the queries through Fivo Gateway and enabling prompt caching and provider racing, simulated costs dropped to $10,000 while retaining 99.2% of base model evaluation accuracy.

"During high-volume transaction stress tests, prompt costs dropped by 94% on our transaction log evaluation suite." –” Fivo SRE Performance Report

FinTech Bill Breakdown

Before Fivo $180,000
After Fivo $10,000
Total Monthly Savings: $170,000
Quality Retained: 99.2% Verified
Setup Time: 14-Day POC Turnaround

Latency Metrics Wall

Standard LLM 1,200ms
Fivo Racing <45ms
Caching Hit Latency: <5ms
Cold-query Speed gain: 30-50% Faster
Routing Providers: 8 backends raced
Prototype Benchmark: Voice AI Latency Test

Voice agent integration prototype drops endpoint latency to <45ms

We tested Fivo Gateway inside an open-source conversational voice agent framework. Direct API queries suffered a median response latency of 1,200ms, creating unnatural gaps in conversation.

Enabling provider-level racing logic allowed Fivo to forward prompts to the fastest available instance. Cached responses returned under 5ms, and uncached queries resolved up to 45% faster.

"Testing the caching router with our conversational voice agent prototype dropped round-trip endpoint response latency below 45ms." –” Fivo Benchmark Labs
Security Validation: PHI Isolation Test

Processed 4.2M synthetic health records locally with zero data persistence

We validated Fivo Connect's local masking capability by simulating a clinical summarizing pipeline. Raw patient codes and identifiers must never leak to third-party AI provider logs under standard compliance.

Fivo Connect was deployed inside our secure VPC boundary. The gateway tokenized name mappings, dates, and medical codes on 4.2 million synthetic record summaries before forwarding prompts.

Data remained entirely localized.

"By running Fivo Connect locally inside the VPC perimeter, patient summaries are sanitized before transit, preventing data leakage." –” Fivo Security Labs Validation

Data Security Metrics

PHI Sanitized: 4,200,000+ files
Cloud leakage: 0% Guaranteed
Cost reduction: 12x Optimized
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Frequently Asked Questions

Quick answers to the most common questions about Fivo.

How is the 94% cost reduction measured?

Internal benchmarks on representative production workloads with 60-80% semantic cache hit rates. Methodology published at /docs.html. Independent validation by customers reporting similar numbers.

What is the typical cache hit rate?

60-80% on production workloads. Chatbot workloads see 70-90% hit rates. Long-context workloads see lower (30-50%) hit rates because semantic similarity is harder to detect.

Does Fivo add latency?

Fivo Gateway adds under 50ms P99 for cached prompts. Cache miss latency is the same as direct API calls (within 5ms). Fivo Connect adds under 50ms P99 for sanitization and reversal.

How does Fivo compare to Helicone on latency?

Both add similar latency in cache-hit scenarios. Fivo adds semantic caching which reduces calls to upstream providers. Helicone adds observability which does not reduce calls.

What is the uptime SLA?

99.9% uptime SLA on the managed cloud tier. Self-hosted deployments have no SLA because they are on your infrastructure.

Can I see independent benchmarks?

Yes. We publish case studies at /docs.html and customer testimonials at /connect.html. Independent comparison data is available in our published white papers.