5-Layer Resource Compaction + Content-Aware AI Compression

CompactEdge AI — Data Compaction Software

Store More.
Migrate Faster.

CompactEdge AI compacts your data across 5 resource layers using content-aware AI compression. Live compaction runs on workloads without interruption. Instant Rehydration restores data at 1,500+ MB/s. Edge network orchestration — integration with open-source edge providers — is coming soon.

📡
Receive
User request hits nearest PoP
🧠
AI Route
ML picks optimal path in real time
🚀
Deliver
Sub-8ms response from cache or origin
Start Free Trial — 3 Days → 📋 Technical Specs Live Dashboard Demo
5-Layer
Resource Compaction
1,500+
MB/s Rehydration Speed
Live
Compaction on Running Workloads
Coming Soon
Edge Network Orchestration

Core Capabilities

Compaction That
Runs While You Work.

CompactEdge compresses data across 5 resource layers using content-aware AI. It runs live on your workloads — no pauses, no code changes. Edge network orchestration is in development.

🧠
Content-Aware AI Compression

Per-asset analysis that applies the right compression profile to each data type. Product photos get lighter compression than banners; high-cardinality DB tables get different zstd dictionary training; fast-motion video gets more bitrate allocation.

  • Per-asset quality guarantee with integrity score
  • SSIM scoring for images (0.97+ perceptually lossless)
  • VMAF scoring for video (Netflix standard)
  • Checksum verification for lossless files
💾
5-Layer Resource Compaction

Compaction runs across all five resource layers simultaneously: file storage, databases, object storage, logs, and media assets. Each layer uses a compression algorithm tuned to its data characteristics.

  • File storage compaction
  • Database compaction (zstd dictionary training)
  • Object storage compaction
  • Log compaction
  • Media asset compaction
Live Compaction

Permanently compresses your data at the storage layer. Compressed state is the default — files stay compressed on storage and in transit. Your application keeps writing normally while CompactEdge handles compaction. Ideal for AI workloads: training data, model checkpoints, and inference caches get dramatically more effective capacity with zero code changes.

  • Zero application code changes required
  • Compresses on write — stays compressed permanently
  • Works on running workloads without interruption
  • Effective capacity increase varies by data type
🚀
Instant Rehydration

On-demand rehydration at 1,500+ MB/s — triggered only when you explicitly request it. Pre-indexed archives for random-access single-file extraction. Selective rehydration lets you extract just the database or a single image without touching the rest of the archive. Compressed state is always the default.

  • 1,500+ MB/s rehydration speed on explicit request
  • Pre-indexed archives for random access
  • Selective extraction — decompress only what you need
  • Before/after size verification
📊
Mobility Score (1–100)

A data portability metric that measures how movable your workload is: estimated move speed, minimum package size, edge location sustainability within budget, and estimated failover time.

  • Move speed estimate
  • Minimum package size calculation
  • Budget-aware edge location scoring
  • Failover time estimate
🔌
Compaction API

A full REST API for programmatic compaction workflows. Integrate CompactEdge into your CI/CD pipeline, backup automation, or deployment scripts. POST to compact, GET integrity scores, retrieve mobility reports.

  • POST /compact
  • POST /rehydrate
  • GET /integrity
  • GET /mobility-score

How It Works

Compact → Store → Rehydrate

Three phases: compress on write, store permanently compressed, rehydrate only when you explicitly instruct it. Compressed state is the permanent default — no automatic decompression occurs.

Phase 01

💾

Compact

When your application writes data, CompactEdge intercepts it at the storage layer and applies content-aware AI compression. Your app continues writing as normal — no code changes required.

  • Content-aware algorithm selection per asset type
  • SSIM scoring for images (0.97+ perceptually lossless)
  • Zstd dictionary training for high-cardinality tables
  • Per-asset quality guarantee with integrity score
  • Before/after size recorded in compaction log

Phase 02

Store

Compacted data is stored permanently in compressed form — compressed state is the default. No automatic decompression occurs at read time. The Mobility Score tracks how portable your compressed dataset is across storage destinations. Live compaction runs continuously on existing workloads — no maintenance windows.

  • Compressed state is permanent by default
  • Live compaction on running workloads
  • Mobility Score (1–100) calculated continuously
  • Move speed, min package size, failover time tracked
  • Compaction log with per-asset ratios

Phase 03

🚀

Rehydrate

When you explicitly trigger rehydration, CompactEdge decompresses at 1,500+ MB/s. No automatic decompression on read — data stays compressed until you instruct otherwise. Pre-indexed archives allow selective single-file extraction without touching the full archive.

  • On-demand rehydration at 1,500+ MB/s
  • Pre-indexed archives for random-access extraction
  • Selective rehydration — decompress only what you need
  • Checksum verification on rehydration
  • Triggered only by explicit user or process instruction

What Is CompactEdge

Data Compaction Software,
Not a CDN

CompactEdge is data compaction and portability software. The edge network orchestration layer — integration with open-source edge providers — is in development. Here is what is live today versus what is coming.

Feature Status Notes
5-Layer Resource Compaction ✓ Live File, DB, object, log, and media compaction
Content-Aware AI Compression ✓ Live Per-asset algorithm selection and quality scoring
Live Compaction on Running Workloads ✓ Live No app changes, no maintenance windows
Instant Rehydration (1,500+ MB/s) ✓ Live Zstd with pre-indexed random-access archives
Compaction API ✓ Live POST /compact, POST /rehydrate, GET /integrity, GET /mobility-score
Mobility Score (1–100) ✓ Live Data portability metric per workload
Edge Network Orchestration Coming Soon Integration with open-source edge providers in development
Edge Deployment Management Coming Soon Deploy compacted workloads to edge locations
Open-Source Edge Provider Integration Coming Soon Cloudflare Workers, Fastly Compute, Fly.io, etc.

Cost Savings & ROI

The Numbers That
Justify the Purchase

MSPs and IT teams run on margin. Here is exactly what CompactEdge saves you — in storage costs, admin hours, and infrastructure spend.

💾
Up to 80%
Annual Storage Footprint Reduction
Typical mixed workloads: 50–70%. AI training data & logs: up to 80%+ year-round
~312 hrs/yr
Admin Hours Recovered Annually
~6 hrs/wk × 52 weeks automated away — lifecycle, capacity planning, cleanup
💰
$9,900+/yr
Annual Storage Savings at 50 TB
Storage compression alone, based on AWS S3 pricing ($0.023/GB/mo) at 70% compaction
🏢
3–5×
More Capacity from Existing Hardware
Defer hardware purchases 12–24 months by compacting what you already own

Full TCO Before vs. After — Annual Figures · Typical MSP Environment (10 TB Raw Data)

All figures shown as annual totals. Includes savings from storage compression, deduplication, bandwidth optimization, intelligent tiering, admin time recovery, incident reduction, and hardware deferral.

❌ Without CompactEdge
Actual storage footprint
10 TB
Annual cloud storage cost (S3, no compression)
$2,820/yr
Deduplication savings
$0/yr (none)
Annual bandwidth & egress costs
~$800/yr
Admin labor cost (6–8 hrs/wk @ $50/hr)
~$15,600/yr
Storage incident response (3–5/mo)
~$4,800/yr
Hardware expansion capex
~$5,000/yr
Backup window duration
4–6 hours
Infrastructure utilization
~78%
Total Annual Overhead
~$29,020/yr
✔ With CompactEdge (70% compaction + dedup + tiering)
Actual storage footprint
~3 TB (70% smaller)
Annual cloud storage cost (S3, compacted)
~$840/yr (save $1,980)
Deduplication savings (additional ~20% on top)
+~$500/yr saved
Annual bandwidth & egress costs (70% less transfer)
~$240/yr (save $560)
Admin labor cost (1–2 hrs/wk @ $50/hr, automated)
~$3,900/yr (save $11,700)
Storage incident response (<1/mo)
~$600/yr (save $4,200)
Hardware expansion (deferred 12–24 months)
~$0 (defer $5,000)
Backup window duration
45 min–1.5 hrs
Infrastructure utilization
>95%
Total Annual Overhead
~$5,580/yr
Annual Savings (All Features Combined)
Before ($29,020) minus After ($5,580) = gross savings. Minus Edge Pro annual subscription ($10,788) = net savings.
~$12,652/yr
Net annual benefit after CompactEdge cost

Annual Storage Cost Savings by Data Volume — Net of CompactEdge Subscription

Based on AWS S3 Standard pricing ($0.023/GB/month). Assumes up to 70% storage reduction from 5-layer compaction. Net figures deduct the applicable annual plan cost. Storage savings only — admin time, bandwidth, dedup, and hardware deferral compound on top.

Data Volume Annual Cost (No CompactEdge) Annual Cost (With CompactEdge) Annual Storage Savings Nearest Plan Cost Net Annual Benefit ✓
5 TB $1,416/yr ~$420/yr ~$996/yr Edge Starter $948/yr +~$48/yr
10 TB $2,820/yr ~$840/yr ~$1,980/yr Edge Pro $10,788/yr +$1,980 storage
(total TCO net: +$12,652)
50 TB $14,124/yr ~$4,230/yr ~$9,894/yr Edge Pro $10,788/yr Near break-even storage
(total TCO net: +$40,000+)
100 TB $28,260/yr ~$8,478/yr ~$19,782/yr Edge Enterprise $35,988/yr +$19,782 storage
(total TCO: >$80,000 net)

⚠️ Storage compression savings only. Each tier's full ROI becomes dramatically more positive when you add deduplication (~20% additional), bandwidth/egress reduction (~70% less), admin time recovery (~312 hrs/yr), incident cost avoidance, and hardware purchase deferral — see Total Annual Savings table below.

Total Annual Net Savings by Plan Tier — All Features Combined

Includes storage compression, deduplication, intelligent tiering, bandwidth optimization, admin time recovery, incident reduction, and hardware deferral. All figures shown net of annual subscription cost.

Plan Monthly Price Storage Savings Dedup + Tiering + BW Admin Time (312 hrs/yr) Incidents + Hardware Total Annual Gross Net After Plan Cost
Edge Starter $79/mo ~$996/yr ~$700/yr ~$5,200/yr ~$2,200/yr ~$9,096/yr ~+$8,148/yr
Edge Pro $899/mo ~$9,900/yr ~$3,800/yr ~$15,600/yr ~$9,600/yr ~$38,900/yr ~+$28,112/yr
Edge Enterprise $2,999/mo ~$19,782/yr ~$8,500/yr ~$23,400/yr ~$18,000/yr ~$69,682/yr ~+$33,694/yr
Global Enterprise $7,999/mo ~$59,400/yr+ ~$25,000/yr+ ~$39,000/yr+ ~$40,000/yr+ ~$163,400/yr+ ~+$67,412/yr+

⚠️ "Up to" estimates based on typical MSP workloads. Admin time savings assume ~$50/hr fully-loaded labor rate. Incident costs assume $100–$200/incident response. Hardware deferral assumes 12–24 month extension of existing infrastructure. All plan tiers show clear net-positive ROI after deducting annual subscription cost.

Where the Hours Go Back to Your Team

🤖
Automated Data Lifecycle
0 manual cleanup tasks

CompactEdge handles data compaction, archiving, and cleanup automatically on every write cycle. The 4–6 monthly cleanup tasks your team runs manually go to zero.

📊
Capacity Planning, Eliminated
~5 hrs/wk recovered

Monitoring thresholds, setting alerts, projecting growth — CompactEdge's continuous Mobility Score and compaction analytics replace the spreadsheet guesswork that typically eats 5+ hours per week.

🏢
Hardware Purchase Deferral
3–5× more from existing disks

500 GB provisioned becomes 1.5–2.5 TB usable for typical workloads. AI training data and logs can reach 3–5× effective capacity. Delay that next SAN or cloud tier expansion by 12–24 months.

📶
Bandwidth Cost Reduction
Up to 70% less egress

Compressed data in transit means dramatically lower egress fees. At AWS S3 egress rates ($0.09/GB), moving 10 TB of compacted data (3 TB) vs uncompacted saves ~$630 per transfer event.

Faster Backups & Migrations
60–75% shorter windows

Compacted workloads move faster. A 10 TB backup that takes 4–6 hours uncompressed takes 45 min–1.5 hours at 70% compaction. Maintenance windows shrink. SLAs become easier to meet.

🚫
Storage Incidents, Near Zero
3–5 incidents/mo → <1

Capacity alerts, emergency cleanup sprints, and "we're at 95% full" calls to 2am on-call engineers — all near-eliminated when your storage footprint automatically stays 60–80% smaller than raw data size.

How we calculated these numbers: Storage cost savings use AWS S3 Standard pricing ($0.023/GB/month). Compaction ratios reflect typical outcomes for mixed workloads (50–70%). AI training data, logs, and unstructured text often achieve higher ratios. Media assets with pre-existing lossy compression achieve lower ratios. Results vary by data type, existing compression, and workload mix. All labor estimates are based on typical MSP team feedback. Use these numbers as directional, not contractual — we add "up to" qualifiers where appropriate.
ENERGY & COST IMPACT

Turn Energy Waste Into Measurable Profit

Modern AI/GPU workloads draw 1–10kW per node — not 400W. CompactEdge consolidates workloads across fewer active servers, dramatically cutting power consumption, cooling costs, and carbon emissions.

Standard Rack Server
400–600W
Dell/HPE spec sheets
AI Training Node (4–8 GPU)
2,000–10,000W
NVIDIA DGX specs
DGX H100 (8× H100)
~10,200W peak
NVIDIA published TDP
100 Servers (Mixed)
$39,420
estimated annual savings
80 standard + 20 GPU nodes
25% optimization → 25kW saved
~137 metric tons CO₂ avoided/yr
ENTERPRISE
500 Servers (Enterprise)
$246,375
estimated annual savings
350 standard + 150 GPU nodes
Hardware refresh deferred: $375K–$1M CapEx
~856 metric tons CO₂ avoided/yr
1,000+ (Hyperscale)
$500K–$1M+
estimated annual savings
GPU-dense AI training fleets
Carbon offsets = hundreds of cars off the road
Fortune 500 / hyperscaler scale
Methodology: Blended modern datacenter avg ~700–800W/server (standard 400–600W + AI/GPU nodes at 1,000–10,000W). PUE 1.3–1.6× based on Uptime Institute 2023 benchmarks. Energy at $0.10–$0.14/kWh (US EIA). CO₂ factor: 0.417 kg/kWh (EPA eGRID 2022). Hardware lifespan extension per Arrhenius equation: 10–15°C thermal reduction extends MTBF 25–40%.
SUSTAINABILITY IMPACT

Every Compaction Job Shrinks Your Carbon Footprint

Quantifiable sustainability metrics for enterprise ESG reporting. CompactEdge doesn't just cut costs — it measurably reduces your environmental impact.

~856
metric tons CO₂ avoided/yr
at 500-server enterprise scale
= ~1,970 cars off the road for a year (EPA)
25–40%
longer hardware lifespan
reduced thermal stress (Arrhenius eq.)
= $3K–$8K saved per server in deferred CapEx
30–40%
cooling energy eliminated
fewer active nodes = less HVAC demand
cooling = 30–40% of total datacenter energy (DOE)
Reduced E-Waste
Extending server life 1–2 years across hundreds of machines keeps tons of electronics out of landfills. Fewer refresh cycles mean fewer rare-earth minerals extracted.
ESG & Compliance Alignment
Every metric is auditable. CO₂ reductions, energy savings, and hardware lifecycle data feed directly into ESG frameworks — no manual calculations needed. Ready for procurement teams with sustainability mandates.
Sources: EPA eGRID 2022 (0.417 kg CO₂/kWh US grid avg) • EPA equivalencies calculator • Uptime Institute 2023 Global PUE Survey • DOE datacenter energy reports • Arrhenius equation for semiconductor failure rates

Pricing

Transparent Pricing.
No Surprises.

All plans include the full 5-layer compaction engine, Compaction API, and 24/7 support. No hidden fees.

Edge Starter
$79/mo

For growing teams that need real data compaction — live compaction, Instant Rehydration, and the Compaction API. Positive ROI from day one.

  • Up to 5 TB compacted data/month
  • 5-layer resource compaction
  • Content-aware AI compression
  • Instant Rehydration (1,500+ MB/s)
  • Compaction API (POST /compact, GET /integrity)
  • Mobility Score dashboard
  • Email + Slack alerting
  • Real-time compaction analytics
  • 99.9% uptime SLA
  • Email support (24h response)
Buy Now →
Edge Enterprise
$2,999/mo+

For mid-to-large orgs with high-volume storage requirements, dedicated infrastructure, and custom SLAs. Up to 250 workers.

  • Up to 100 TB compacted data/month
  • Up to 250 users / worker seats
  • Dedicated compaction infrastructure
  • Custom AI compression model
  • Custom zstd dictionary training
  • Private compaction pipeline (isolated)
  • Custom compaction policies
  • Multi-storage backend support
  • Enterprise compliance reports
  • 99.99% uptime SLA (with penalties)
  • Dedicated CSM + 1h support SLA
Contact Sales →
For Multinationals
Global Enterprise
$7,999/mo+

For multinationals with 250+ workers, multi-region data footprints, and bespoke compliance requirements across jurisdictions.

  • 500 TB+ compacted data/month
  • Unlimited worker seats
  • Multi-region dedicated infrastructure
  • Custom AI model per region/dataset
  • Data residency & sovereignty controls
  • Air-gapped compaction pipeline option
  • Cross-region mobility orchestration
  • SOC 2 Type II + ISO 27001 reports
  • Executive compliance dashboard
  • Custom MSA & DPA
  • 99.999% uptime SLA + financial penalties
  • Named CSM + dedicated Slack channel
Contact Enterprise Sales →
🏛️

Exceeding 500 TB/month or need a bespoke arrangement?

We work with serious organizations at scale. Custom data volumes, on-premises deployment, dedicated engineering support, multi-subsidiary contracts, air-gapped pipelines, and data residency requirements — scoped directly with your team.

Significant volume discounts available for high-throughput environments. Typical enterprise engagements see 5–10× ROI within the first year.

🏢 Big Datacentres 🏥 Healthcare 🏛️ Government 🎬 Media & Broadcast 🔬 Research Institutions 🌐 Multinationals
Contact Us for Bespoke Quote →
Typically scoped within 48 hours
enterprise@fluxcybers.polsia.app

Customer Stories

What Teams
Are Saying

★★★★★

"CompactEdge's live compaction made a real difference for our storage costs without requiring any changes to our application. The selective rehydration is particularly useful for our backup workflows."

🛍️
Marcus Holt
VP Engineering · Meridian Commerce

Product Explainer

See How CompactEdge AI Works

~90-second animated walkthrough with AI narration — press ▶ Play to start.

Advanced Capabilities

What CompactEdge Does

CompactEdge is data compaction software with content-aware AI compression, live workload compaction, instant rehydration, and a full compaction API. Edge network orchestration is in development.

🧠
Content-Aware AI Compression

Per-asset analysis — product photos get lighter compression than banners, high-cardinality DB tables get different zstd dictionary training, fast-motion video gets more bitrate. Per-asset quality guarantee with integrity score.

📜
Quality Guarantee Certificate

SSIM scores for images (0.97+ = perceptually lossless), VMAF for video (Netflix standard), checksum verification for lossless files, before/after size comparison, overall compaction ratio.

Instant Rehydration

On-demand rehydration at 1,500+ MB/s, triggered only by explicit instruction. Pre-indexed archives for random-access single-file extraction (10x faster than zip). Selective rehydration — decompress only the DB or one image, nothing else.

🔄
Live Compaction

Permanent compression on write — files stay compressed on storage and in transit. No automatic decompression on read; app reads compressed data and decompresses only when explicitly instructed. 500GB provisioned = 3-5TB usable. Killer for AI workloads: training data, model checkpoints, inference caches = 5-10x effective capacity, zero code changes.

📊
Edge Mobility Score (1-100)

Measures workload portability: move speed, minimum package size, edge location sustainability within budget, estimated failover time.

🔌
Compaction-as-a-Service API
POST /compact
POST /rehydrate
GET  /integrity
GET  /mobility-score

Full REST API for programmatic compression workflows. Integrate CompactEdge into your CI/CD pipeline, backup automation, or edge deployment scripts.

FAQ

Common Questions

Everything you need to know about CompactEdge data compaction software.

The Compaction API can be integrated in under an hour. For live workload compaction, you configure the CompactEdge storage layer and it begins permanently compressing data on the next write cycle. Compressed files stay compressed — decompression only when you explicitly request it. No DNS changes required.
Standard compression tools apply a single algorithm to all data. CompactEdge analyzes each asset type and selects the best compression profile: SSIM-scored compression for images (0.97+ perceptually lossless), VMAF scoring for video, zstd dictionary training for high-cardinality database tables. Each asset gets a quality guarantee certificate with before/after size and integrity score.
Compaction is non-destructive. The original data is preserved until the compacted version is verified with a checksum. If integrity verification fails, the original is retained. Rollback is always available. Live compaction runs incrementally — it does not lock your data or interrupt application reads/writes.
Yes. CompactEdge supports S3-compatible object storage, local file storage, and database storage. Compressed files stay compressed permanently across all backends — decompression is explicit and on-demand only. Selective rehydration from S3-compatible stores is supported out of the box.
The Mobility Score (1–100) measures how portable your data workload is. It accounts for estimated move speed, minimum package size, edge location sustainability within your storage budget, and estimated failover time. A higher score means your workload is faster and cheaper to move between storage destinations or edge locations. The score is updated continuously as your data changes.
Not yet. Edge network orchestration — the ability to deploy compacted workloads to open-source edge providers — is in development. The data compaction software (5-layer compaction, content-aware AI compression, live compaction, Instant Rehydration, and the Compaction API) is live and available today. Join the waitlist to be notified when edge orchestration ships.
Yes, and this is one of the strongest use cases. Training data, model checkpoints, and inference caches are all high-volume, high-compression-ratio data types. CompactEdge's live compaction layer significantly increases effective storage capacity for AI workloads with zero application code changes. The Compaction API also integrates into ML training pipelines for automated checkpoint compaction.
Rehydration is triggered only by an explicit instruction — no automatic decompression occurs. When triggered, CompactEdge rehydrates at 1,500+ MB/s using Zstd. Archives are pre-indexed so you can extract a single file without decompressing the entire archive — useful when you need one database table or one image from a large backup. Selective rehydration extracts just what you need. Everything else stays compressed.
Yes — 3 days free on any plan tier, no credit card required. You get full access to all features including AI routing, the full edge network, and the analytics dashboard. After 3 days, you can downgrade, upgrade, or cancel. We don't lock features behind the trial or bait-and-switch you into a higher tier.
Starter plans get email support with 24-hour response SLA. Pro plans get priority support with 4-hour response and access to engineering runbooks. Enterprise plans get a dedicated Customer Success Manager, 1-hour response SLA, and a direct Slack channel with the CompactEdge team. All plans include a 24/7 status page and incident notifications.
⚡ 60-Second Install

Install the CompactEdge Agent

One command. Installs on any Linux server. Starts scanning disk usage, logs, snapshots, and unused data immediately.

terminal
$ curl -fsSL https://fluxcybers.polsia.app/api/compactedge/install-script | bash -s -- --token YOUR_TOKEN
Replace YOUR_TOKEN with your API key from the CompactEdge dashboard → Settings → Install Agent

Your Data Deserves
Smarter Storage

Connect your storage. CompactEdge starts compacting your data immediately. Edge network orchestration — integration with open-source edge providers — is coming soon.

Ready to get started?
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