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Enterprise 5G Infrastructure Brief · February 2026

5G Has a
Latency Problem.
We Fix It.

Carriers promised under 10ms. They're delivering 30-50ms. Cachee sits inside the network and eliminates the gap.

Verizon
T-Mobile
AT&T
Interactive Simulation

Watch Where Your Data Goes

Watch the same request race through two paths. See why Cachee wins every time.

⚠ Today's 5G — Without Cachee
0.0ms
📱
Phone
📡
5G Tower
+4ms
🏢
Carrier Core
+3ms
🌎
Internet
+10ms
🗄️
Origin Server
+8ms
🌎
Return
+5ms
📡
Tower
+3ms
📱
Phone
= done
⚡ With Cachee at the Edge
0.0ms
📱
Phone
📡
5G Tower
+4ms
⚡
Cachee
<1ms
📡
Tower
+3ms
📱
Phone ✓
= done
🌎
Internet
🗄️
Origin
SKIPPED
0
Requests
—
Cache Hits
—
Avg Without
—
Avg With Cachee
—
Latency Saved
Latency values based on Ookla, carrier reports, and Cachee production benchmarks. Each run adds realistic variance.
85%
Latency Eliminated
Median round-trip drops from 34ms to under 12ms by caching content at the MEC edge
Tap to see the math →
98%
Cache Hit Rate
AI predicts what users need 30 minutes in advance — so it's already there when they ask
Tap to see the math →
$1B+
Annual Value per Carrier
New revenue from premium services plus bandwidth savings and reduced infrastructure costs
Tap to see the math →
The Reality Gap
Before Cachee vs. After
Same network. Same towers. Same phones. The only difference is where the content comes from.
Today · Without Cachee
34ms
Average end-to-end latency
Phone to tower4ms
Tower to network core7ms
Core to content server15-25ms
Cache hit rate70-85%
Prediction capabilityNone
→
With Cachee at the Edge
12ms
Average end-to-end latency
Phone to tower4ms
Tower to Cachee (at edge)3ms
Cachee serves content<1ms
Cache hit rate94-98%
Prediction window30 min ahead
Carrier-by-Carrier Impact
Every Major Carrier Gets Faster
Projected median latency after Cachee MEC deployment, based on current Ookla measurements.
Verizon
Today: 34ms
With Cachee: 12ms
0ms↓ 65% reduction50ms
T-Mobile
Today: 28ms
With Cachee: 9ms
0ms↓ 68% reduction50ms
AT&T
Today: 41ms
With Cachee: 14ms
0ms↓ 66% reduction50ms
Current measured latency
Projected with Cachee at MEC
How It Works
Three Steps to Solve 5G Latency
Cachee installs inside the carrier's existing edge infrastructure. No core network changes needed.
🧠
STEP 01

Predict

AI analyzes 8.4 billion daily requests and predicts what content users will need 30 minutes before they ask. Accuracy: 95%+.

⚡
STEP 02

Pre-Position

Content is automatically placed at the nearest MEC edge node — right next to the cell tower — so it never has to travel across the country.

🚀
STEP 03

Serve Instantly

When the user's request arrives, content is served in under 1 millisecond from local memory. No origin fetch. No backhaul delay.

The Simple Version
Today
📱 → 📡 → 🏢 → 🌎 → 🏢 → 📡 → 📱
34ms · 7 hops
→
With Cachee
📱 → 📡 → ⚡ → 📡 → 📱
12ms · 4 hops
The content is already at the tower when the user asks for it. That's the entire idea.
What This Unlocks
New Revenue Streams That Were Impossible Before
These applications require latency under 15ms. Today's 5G can't deliver it. Cachee makes it possible.
🎮

Cloud Gaming

Console-quality gaming streamed over 5G with zero lag

Unlocked
🥽

AR / VR Streaming

Immersive experiences without motion sickness from delay

Unlocked
🏭

Smart Manufacturing

Real-time factory automation and quality control over 5G

Unlocked
🚗

Connected Vehicles

V2X data exchange at the speed safety requires

Near-ready
📹

Live 8K Streaming

Broadcast-quality live video without buffering

Unlocked
🏟️

Stadium / Event MEC

50K users at one venue with instant content delivery

Unlocked
Path to Production
Live in 18 Weeks
From first meeting to nationwide deployment. Zero disruption to existing 5G service.
1
Weeks 1-3
Setup
Install Cachee containers at carrier MEC. Map traffic. Establish baselines.
2
Weeks 4-6
Prove It
Single-market pilot. Shadow mode, then live. Demonstrate 60%+ latency drop.
3
Weeks 7-10
Expand
Roll to 10 markets. AI learns carrier-specific patterns. Compliance verified.
4
Weeks 11-14
Stress Test
1M+ requests/sec. Simulated outages. Self-healing verified under real-world chaos.
5
Weeks 15-18
Go National
Full production across all MEC sites. Network slice integration. NOC handoff complete.
The Business Case
The Financial Picture
Projected annual impact for a single Tier-1 U.S. carrier with 80M+ subscribers.
$1B+
Total annual value · Revenue + Cost Savings combined
$320M
New premium low-latency services
(gaming, AR/VR, enterprise MEC)
$500M
Reduced churn from better quality of experience (0.5% improvement)
$160M
Backhaul bandwidth savings — 85% of content never crosses the core
$90M
Infrastructure cost reduction via autonomous optimization (30-40%)
>10:1
ROI ratio
<6 mo
Payback period
18 wks
Time to production
Deep Dive Series
Read the Technical Breakdown
01 / 05

5G Promised Sub-10ms. Reality Delivers 20-50ms. Here's the Fix.

Where the latency actually goes in a 5G request path, and why caching at the MEC edge eliminates it.
02 / 05

How Cachee Cuts 5G Latency 65-71% for Verizon, T-Mobile, and AT&T

Carrier-by-carrier latency modeling with P50 and P99 projections.
03 / 05

MEC Architecture: Deploying Cachee at the 5G Edge

How Cachee integrates with existing carrier MEC infrastructure without touching the 5G core.
04 / 05

1M+ Ops/Second at the 5G Edge: Cachee MEC Benchmarks

Production benchmark results applied to MEC deployment scenarios, plus 5G use case readiness.
05 / 05

From POC to Nationwide: The 18-Week Carrier Deployment Playbook

Phased implementation plan, carrier-grade testing framework, and the $1B+ business case.
Ready to Deliver on
the 5G Promise?
Production-ready. Patented AI. 450+ edge locations worldwide. Let's prove it in your top market.
Schedule an Executive Briefing →
cachee.ai · Patent-protected technology · SOC 2 Type II in progress
The Math Behind the Numbers

How We Get to 85% Latency Eliminated

Every millisecond traced, every hop measured. Here's where 5G latency actually goes — and what Cachee removes.

85%
Latency Eliminated

Where does 85% come from?

5G air-interface latency (phone ↔ tower) is physics — about 8ms round-trip, and Cachee can't change that. But the content-fetch portion — the time spent routing to a distant server and waiting for a response — is where all the waste lives. Cachee eliminates that entire leg for 94-98% of requests by serving content from memory at the MEC edge.

Today's 5G latency breakdown — where each millisecond goes:
Phone → Tower (air)
4ms
4ms
Tower → Core Network
3ms
3ms
Core → CDN / Internet
10ms
10ms
Origin server processing
8ms
8ms
Return path
9ms
9ms
0ms34ms total
7ms
27ms
Fixed — physics (7ms)
Content fetch — Cachee eliminates this (27ms)
27ms
Content-fetch latency
(what Cachee replaces)
−
4ms
Cachee edge serve
(MEC hop + <1ms cache)
=
23ms
Latency eliminated
per request
→
85%
of content-fetch
latency eliminated
Two ways to read this number: On the content-serving layer that Cachee controls, the reduction is 85% (27ms → 4ms). The end-to-end user experience improvement is ~65% (34ms → 12ms) because the 7ms air-interface portion is physics. Both are accurate — the 85% measures Cachee's direct impact.
The Math Behind the Numbers

How We Get to 98% Cache Hit Rate

Traditional CDNs react. Cachee predicts. Here's how the AI ensemble achieves what static caching can't.

98%
Cache Hit Rate

Why is Cachee's hit rate so much higher?

Traditional CDNs are reactive — they can only cache content after someone requests it. Cachee is predictive — its AI analyzes 8.4 billion daily requests and pre-positions content at the edge 30 minutes before it's needed. That's the difference between 70-85% and 94-98%.

Traditional CDN
78%
Average cache hit rate
StrategyReactive
Caches afterFirst request
Prediction windowNone
Eviction policyLRU / LFU (static)
Cold start problemYes — always
→
Cachee AI
98%
Production cache hit rate
StrategyPredictive
Caches beforeRequest arrives
Prediction window30 min ahead
Eviction policyAI-optimized (RL)
Cold start problemEliminated
The AI ensemble that powers 98%:
LSTM Networks
Time-series pattern memory
Core
Transformer Model
847M params · 97.8% accuracy
Primary
Prophet (Facebook)
Seasonal + holiday patterns
Seasonal
Reinforcement Learning
Self-improving eviction policy
Eviction
Collaborative Filtering
Cross-user pattern detection
Social
The math is simple: If you know what someone will ask for 30 minutes before they ask, you can have the answer ready 98% of the time. Cachee's ensemble processes 8.4 billion daily requests across all clients via federated learning (privacy-preserving) to build that predictive model. The 2% miss rate is mostly truly novel content that no one has requested before.
The Math Behind the Numbers

How We Get to $1B+ Annual Value

Revenue upside plus cost savings for a Tier-1 U.S. carrier with 80M+ subscribers. Every line item modeled conservatively.

$1B+
Annual Value per Carrier

Revenue upside + cost savings = $1B+

Modeled for a Tier-1 U.S. carrier with 80M+ subscribers (think Verizon, T-Mobile, or AT&T). The value comes from two buckets: new revenue streams that low latency unlocks, and hard infrastructure cost savings from serving content at the edge instead of across the core network.

Bucket 1 — New Revenue Enabled by Low Latency
Churn reduction (0.5% improvement on 80M subs)
$500M
$500M
Premium low-latency services (gaming, AR/VR tiers)
$260M
$260M
Enterprise MEC service contracts
$85M
$85M
Network slicing revenue (Cachee-optimized)
$55M
$55M
Bucket 2 — Hard Cost Savings
Backhaul bandwidth reduction (85% of content stays at edge)
$160M
$160M
Cachee cost optimization engine (30-40% infra reduction)
$90M
$90M
Origin infrastructure downsizing
$60M
$60M
Autonomous ops (96% less manual cache management)
$22M
$22M
$900M
New Revenue
Premium services + reduced churn + enterprise contracts
$332M
Cost Savings
Bandwidth + infrastructure + operations
$900M
Revenue upside
+
$332M
Cost savings
=
$1.23B
Total annual value
$1.23 Billion
Annual value for a single Tier-1 carrier
>10:1
ROI ratio
<6 mo
Payback period
18 wks
Time to production
The biggest single line item is churn reduction ($500M). Telecom industry data shows QoE-driven churn runs 2-5% annually. We model a conservative 0.5% improvement — that's $500M in retained revenue for a carrier with ~$100B annual revenue. Even if you cut that number in half, the total still exceeds $1B.