Cachee.ai — Executive Overview

Your infrastructure spends more time waiting for data than processing it.

Cachee is a Rust-native cache engine with 46 features nobody else has — including post-quantum cryptographic attestation. It overlays your existing infrastructure — no migration, no rip-and-replace — and the economics are immediate: at 100 billion lookups per year, ElastiCache wastes 390 days of compute time. Cachee reduces that to 48 minutes.

28.9ns

L0 Cache Read

32M+

ops/sec (1 thread)

99%+

L0 Hit Rate

11,726×

Faster than ElastiCache

The Latency Chain

Every data request travels a chain.
Each hop adds milliseconds you're paying for.

This is a real request lifecycle — a user action that requires data from your backend. Watch how latency accumulates at every hop, and then watch what happens when Cachee intercepts that chain.

Today — Standard Stack 47.5ms

With Cachee 0.12ms

👤

User Request

0ms

→

🌐

API Gateway

2.5ms

→

⚙️

App Server

5ms

→

🔴

Redis Cache

12ms

→

🗄️

Cache Miss → DB

25ms

→

↩️

Response

3ms

Accumulated Request Latency

—

6 hops · 2 network round-trips · 1 database query

Cachee does this in 0.12ms — that's 396× faster

The Infrastructure Economics

Four metrics shift
the moment Cachee deploys.

Memory utilization rises because Cachee is actively using it. Everything else — server hits, infrastructure cost, response latency — drops dramatically. This is the tradeoff enterprises want: spend more on cheap RAM, spend radically less on expensive compute and database.

📈

▲ GOES UP

0%

Memory Utilization

Cachee actively uses L1 memory to store predicted data. Higher utilization = more cache hits = fewer expensive backend calls.

📉

▼ GOES DOWN

0%

Database / Origin Hits

99%+ of requests served from L0 memory. Your database goes from handling millions of queries to handling thousands. Load drops by 99%.

💰

▼ GOES DOWN

0%

Infrastructure Spend

Fewer database replicas, smaller Redis clusters, less compute. Enterprises typically see 40–70% infrastructure cost reduction.

⚡

▲ GOES UP

0×

Request Performance

P99 latency drops from tens of milliseconds to sub-millisecond. Same hardware handles orders of magnitude more throughput.

Before & After — Animated Comparison

Database Queries / Second

Before: 45,000/secAfter: 2,250/sec

P99 Response Latency

Before: 47.5msAfter: 0.12ms

Monthly Infrastructure Cost

Before: $85,000/moAfter: $31,000/mo

L1 Memory Utilization

Before: 0% (no L1)After: 92%

Bottom-Line Impact

The P&L case writes itself.

Representative enterprise running 100M requests/month across a standard AWS stack. These are the line items that change when Cachee deploys.

Line Item	Before Cachee	After Cachee	Delta
Cache Cluster	$18,000/mo	$4,500/mo	−$13,500
Database	$32,000/mo	$12,000/mo	−$20,000
Compute	$24,000/mo	$10,000/mo	−$14,000
Data Transfer / CDN	$11,000/mo	$4,500/mo	−$6,500
DevOps Hours (cache mgmt)	60 hrs/mo ($12,000)	4 hrs/mo ($800)	−$11,200
Cachee Platform	—	Contact Sales	Starting at competitive rates
NET MONTHLY IMPACT	$97,000/mo	$32,300/mo	−$64,700/mo

    $776,400
    annual savings · 129× ROI on Scale tier
  

Representative figures based on typical enterprise deployment. Actual results vary by infrastructure configuration, workload patterns, and scale.

Where This Applies

The industries where latency has a dollar value per millisecond.

🚘Autonomous VehiclesLATENCY = STOPPING DISTANCE

Sensor cache lookup5–15ms → <1µs

At 70 mph, 12ms =1.23 ft extra travel

Safety margin recoveredEffectively zero cache latency

🧠AI & ML InferenceLATENCY = GPU IDLE TIME

KV-cache / embedding retrieval5–20ms → <1µs

GPU wait time eliminated$2–$10/hr saved per GPU

Inference throughputHigher tokens/sec, same hardware

🛡️Fraud DetectionLATENCY = FRAUD SLIPS THROUGH

Risk model lookup10–40ms → <1µs

Decision budget freed10× more checks in same window

False positivesReduced — more time = better accuracy

📈Trading & HFTLATENCY = LOST FILLS

Order book lookup5–15ms → <1µs

Annual cost of 5ms$500K–$2M

Pre-market warming30 min before open

📡Telecom & 5GLATENCY = DROPPED CONNECTIONS

Subscriber lookup15ms → 0.4ms

Network slice assignment37× faster

Cell handoff missesZero observed

🎮GamingLATENCY = PLAYER CHURN

Session state lookup8ms → <1µs

Server tick budget recovered23% headroom

Player lag complaints94% reduction

⛓️MEV & DeFiLATENCY = LOST EXTRACTION

Full-path latency18ms → 1.4ms

Daily revenue at stake$10K–$100K+

Additional opportunitiesUp to 3×

🎯Ad Tech & RTBLATENCY = WASTED SPEND

Profile lookup saved10–15ms → <1µs

Auctions won+23% at same spend

Bid volume2M+/sec capacity

The Cachee Platform

46 features nobody else has.

Every feature below is production-ready today. No other caching platform offers even half of these. This is what a purpose-built caching OS looks like.

1Predictive Prefetching

2Semantic Invalidation

3Cache Contracts (per-key SLAs)

4Causal Dependency Graph

5Temporal Versioning

6CDC Auto-Invalidation

7Self-Healing Consistency

8Federated Intelligence

9In-Process Vector Search

10Adaptive TTL

11Cost-Aware Eviction

12Native Data Engine (50+ commands)

13Multi-Model Caching

14Edge Mesh Replication

15Full Observability Suite

16AI SDK Generator

See how we compare → /cache-comparison-2026

Why Nobody Else Can Do This

Six things only Cachee does.

These are not incremental improvements. Each one is a capability that does not exist in Redis, Memcached, Dragonfly, Momento, or any other caching system on the market.

ONLY CACHEE

CDC Auto-Invalidation

Database writes trigger cache invalidation automatically. No application code. No TTL guessing. Connect your WAL/binlog and stale data disappears.

ONLY CACHEE

Causal Dependency Graphs

Cachee tracks which keys are composed from other keys. When a source changes, every downstream composite is invalidated — zero stale aggregates, zero manual tracking.

ONLY CACHEE

Enforceable Freshness SLAs

Cache Contracts define per-key freshness guarantees that the system enforces. Not a suggestion — a contract. Auditable, measurable, machine-readable.

ONLY CACHEE

In-Process Vector Search

Similarity search running inside the cache process. No network hop to a separate vector DB. Nanosecond-speed nearest-neighbor queries on cached embeddings.

ONLY CACHEE

Self-Healing Consistency

Continuous integrity monitoring detects cache poisoning, partial writes, and replication drift. Anomalies are auto-remediated before they reach your application.

ONLY CACHEE

Semantic Invalidation

Invalidate by meaning, not just by key. When "product pricing" changes, Cachee finds and invalidates every related key — across namespaces, formats, and downstream caches.