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AI-Powered Cache Intelligence US-Managed Infrastructure

AI-Powered Predictive Caching
for Redis & Cloud Infrastructure

Intelligent cache warming. 667× faster than ElastiCache.

Reduce Redis latency 10-20× with AI-powered predictive cache warming. 1.5µs L1 cache hits. 660K+ ops/sec. 99.05% hit rate — production verified. Drop-in Redis optimization with zero migration. Your cache becomes intelligent.

Your matching engine is fast. Your caching layer adds 10ms per order. Cachee eliminates that gap entirely — order book, auth, and pricing all served from L1 memory.
Cachee is
667×
faster vs ElastiCache
Baseline ElastiCache (cross-AZ)
📥
Order received
0ms
🔐
Auth / risk check (Redis)
5ms
📊
Order book lookup (Redis miss)
12ms
🚀
Route & execute
3ms
Total20ms
667× Cachee L1
📥
Order received
0ms
Auth / risk (L1 pre-warmed)
1.5µs
Order book (L1 pre-warmed)
1.5µs
🚀
Route & execute
2ms
Total2.02ms— 90% eliminated
MEV searchers pre-warm mempool state and gas price feeds. When the block lands, your cache is already hot. Competitors are still fetching.
Cachee is
1,200×
faster mempool lookup
Block Race
Liquidation opportunity detected
Without Cachee
📡
Mempool scan
1ms
🔍
State lookup (Redis)
12ms
🧮
Profit calc
2ms
🚀
TX submit
3ms
Total18ms— too slow
With Cachee
📡
Mempool scan
0.5ms
State lookup (L1)
1.5µs
🧮
Profit calc
0.5ms
🚀
TX submit
0.4ms
Total1.41ms— TX lands first
60fps requires 16.6ms tick budgets. Redis eats 23ms on session + world state. Cachee makes it invisible.
Tick budget
82%
headroom reclaimed
Standard Overrun
🎮
Player action
0ms
👤
Session state (Redis)
8ms
🗺️
World state (miss)
15ms
⚙️
Physics + sync
3ms
Total26ms— exceeds tick
Cachee
🎮
Player action
0ms
Session state (L1)
1.5µs
World state (L1)
1.5µs
⚙️
Physics + sync
3ms
Total3.02ms
5G handoffs need sub-10ms subscriber lookups. Redis adds 15ms → dropped calls. Cachee delivers 0.42ms handoffs.
Handoff
71×
faster
Standard 5G
📱
Handoff request
0ms
👤
Subscriber (Redis)
15ms
🔗
Slice assignment (miss)
12ms
Handoff complete
3ms
Total30ms
Cachee
📱
Handoff request
0ms
Subscriber (L1)
1.5µs
Slice (L1)
1.5µs
Handoff complete
0.4ms
Total0.42ms
10ms auction windows. Audience segments and bid landscapes pre-warmed in L1. The window becomes comfortable.
Win rate
+23%
more auctions
Standard DSP
📨
Bid request
0ms
👥
Audience (Redis)
8ms
📊
Bid landscape (miss)
18ms
📤
Creative + respond
6ms
Total32ms— bid dropped
Cachee
📨
Bid request
0ms
Audience (L1)
1.5µs
Bid landscape (L1)
1.5µs
📤
Creative + respond
1.5ms
Total1.52ms— wins 23% more
Start Free Trial Try It Free
1.5µs
L1 Cache Hit
0.12ms
Avg Latency
99.05%
L1 Hit Rate
396×
P99 Improvement
$0
Migration Cost

All metrics from production. 667× measured vs AWS ElastiCache (1ms baseline → 1.5µs L1). View methodology →

How Cachee Works: Global Edge Deployment

Watch as Cachee deploys your infrastructure across 450+ edge locations worldwide in real-time

0
Locations Deployed
0s
Average Deploy Time
0%
Global Uptime
Global Coverage

Redis Performance Optimization: Single-Region to Geo-Distributed

🌐
AFTER

Geo-Distributed (450+ Locations)

Latency (ms)
< 30ms (Excellent)
30–100ms (Good)
100–300ms (Poor)
> 300ms (Unusable)
Production Results

Cache Performance Benchmarks: Validated on AWS Production

0%
Memory Utilization
0%
Cache Hit Rate
0%
Infrastructure Spend ↓
Throughput ↑
📊
Before & After
Avg Response Latency
Before: 47.5msAfter: 0.12ms
Database Queries/sec
Before: 45,000/secAfter: 2,250/sec
Monthly Infrastructure Spend
Before: $85K/moAfter: $31K/mo
L1 Memory Utilization
Before: 0%After: 92%
Customer ScaleMonthly OpsCachee CostDB Savings (95%+ L1 Hit)ROI
Starter20M$199~$2,00010×
Scale200M$999~$20,00020×
Institutional10B$9,999~$100,00010×
Enterprise Elite2.5T$250K/mo$0.10/1M — lowest unit costRevenue-driven
Verified Performance Data
March 2026

Redis vs Cachee: Enterprise Caching Platform Comparison

Real benchmark data: Cachee vs Redis, Aerospike, Hazelcast, memcached, Cloudflare, and AWS.

MetricCachee.aiRedis EnterpriseAerospikeHazelcastmemcachedCloudflare KVAWS CloudFront
Cache Hit Rate99.05% ✓ production60–70%65–75%60–70%55–65%48%50–60%
Response Time (P99)0.004ms1–3ms1–2ms2–5ms0.5–1ms15–20ms10–15ms
Throughput (ops/sec)660K+100K1M+200K500K80K50K
AI Decision EngineMillions of decisions/secNoneNoneNoneNoneNoneNone
Predictive Pre-Warming Real-time××××××
Eviction StrategyAI-optimized (multiple strategies)LRU, LFULRU, TTLLRU, LFULRU onlyTTL onlyTTL only
Setup Time< 1 hour3–5 days1–2 weeks3–5 daysHours (manual)1–2 weeks2–3 weeks
Manual TuningZeroExtensiveExtensiveModerateHeavyExtensiveModerate
Zero Migration Drop-in××××✓ Edge×
Enterprise SLA99.99%99.9%99.99%99.9%N/A99.9%99.9%
Cost Savings70–80% verifiedBaseline60–70%50–60%Free (DIY)70% vs CF80% vs AWS

Verified Performance Data — March 2026. Cachee benchmarked head-to-head vs Redis (Upstash), Cloudflare Workers KV, and AWS CloudFront CDN.

The Bottleneck

Why Cache Hit Rates Plateau: The Redis Bottleneck

Your matching engine is fast. Your network is fast. But every cache miss bleeds latency you can't afford.

⏱️

Latency Kills Revenue

5ms of cache overhead costs you the arbitrage. Every network round-trip to Redis is one your competitor doesn't make.

🎯

Cache Misses Are Invisible

Standard Redis hits 60–70% cache rates. 30–40% of your hottest data still round-trips to the database every second.

📊

Dumb Caches Can't Predict

LRU eviction is a coin flip. Your cache doesn't know market open is in 30 seconds. You need intelligence, not just memory.

Start Optimizing Redis Latency Today
Deploy in Under 3 Minutes

Deploy in under an hour. Sub-millisecond latency on day one. No migration. No card required.

Drop-in, not rip-out — your existing Redis clients work with the Cachee sidecar out of the box. See integration options →

Works with
ElastiCache CloudFlare KV Redis Cloud Azure GCP Upstash + more →