DDeepRoq
In-Kernel · eBPF Partner

Kernel-Level Capital
Reclamation Engine

DeepRoq runs inside the Linux Kernel via eBPF to eliminate 30–70% of infrastructure data waste before it ever becomes a cloud invoice.

30–70%
Source-level reduction yield
<0.4ms
User-space overhead
eBPF
Kernel runtime surface
0 LOC
Code changes required
002/Values

Built at the kernel, why us.

We engineer kernel-native reclamation systems that strip waste before it becomes a line on your cloud invoice.

01

Kernel-First Strategy

We don't tune dashboards — we intercept the data before the cloud meter ticks.

02

End-to-End Deployment

From eBPF probes to downstream pipelines, we own the entire reclamation surface.

03

Zero-Code Integration

DeepRoq binds at the syscall layer. No app rewrites, no agents, no SDK churn.

003/Capital Engine

Model your monthly data exit tax.

Drag the sliders. Watch the invoice evaporate in real time.

10TB/day
1 TB50 TB
50%
30%70%
AWS Network Egress Leak
$13,500
/ month
Annual: $162,000
Cribl Ingress Credit Leak
$48,000
/ month
Annual: $576,000
SIEM Indexing Surcharge
$450,000
/ month
Annual: $5,400,000
Total Capital Reclaimed / Month
$511,500
Annualized
$6,138,000
on 5.0 TB/day cleaned
004/Capabilities

Kernel-native services.

SERVICE

eBPF Reduction Probes

Kernel-resident filters strip redundant chatter at the syscall boundary.

  • Probe deployment
  • Real-time syscall filter
  • Validated output
SERVICE

Pre-NIC Egress Shaping

Packets are pre-shrunk before they ever touch the cloud meter.

  • Pre-meter shaping
  • Cross-AZ savings
  • Multi-cloud aware
SERVICE

Pipeline Cost Telemetry

Live dashboards correlate every saved GB to a line on next month's invoice.

  • Per-tenant attribution
  • Forecast deltas
  • FinOps ready
005/Process

How we work.

01

Discovery & Audit

We analyze your workflows, bottlenecks, and the highest-leverage egress points.

02

Reclamation Blueprint

We design a kernel architecture aligned with your KPIs and compliance scope.

03

Build & Integration

Our engineers ship the eBPF probes and wire them into your existing pipelines.

04

Testing & Optimization

We tune yield and overhead until the dollar curve and the latency curve both win.

006/Case Studies

What we've built.

CASE / 001
SaaS · Infrastructure

AI Workflow Automation for a SaaS Company

We deployed DeepRoq across 380 production nodes, eliminating egress chatter at the kernel boundary.

−62%
Egress Bill
−48%
SIEM Ingest
3.1×
Signal Density
CASE / 002
Fintech · Compliance

Kernel-Level Reclamation for a Trading Platform

Compliance kept full audit fidelity while raw volume into Splunk dropped by more than half overnight.

−54%
Splunk Tier
−71%
Noise Logs
0
Code Changes
CASE / 003
AI Cluster · GPU Fleet

Pre-Wire Reduction Across a 4,000-GPU Cluster

DeepRoq intercepted high-volume tracing data before it ever touched the NIC. The invoice followed.

−67%
Egress GB
−39%
Datadog Bill
<0.4ms
Overhead
007/Kernel Flow

Where DeepRoq lives.

We sit inside the Linux Kernel via eBPF — intercepting waste at the syscall boundary before AWS, Cribl, Datadog, or Splunk ever bill you for it.

DDeepRoq
The Kernel Core
↓ 30–70% clean data — never charged for by downstream apps
aws
The Network Interface Card
AWS cloud billing meter starts HERE
Saves 30–70% on AWS Egress immediately
↓
Cribl
Cribl Stream (User-Space Middleman)
Only processes high-value logs
Saves 30–70% on Cribl license credits
↓
D
DATADOG
Datadog / Splunk (Hot Search Index)
No ingestion penalties on deleted junk
Compliance fidelity preserved — only signal indexed
007/Ecosystem

Technology ecosystem.

DEEPROQ
KERNEL · CORE
Datadog
Cribl Stream
Splunk
New Relic
Grafana
Dynatrace
Sumo Logic
Honeycomb
Datadog
Cribl Stream
Splunk
New Relic
Grafana
Dynatrace
Sumo Logic
Honeycomb
Datadog
Cribl Stream
Splunk
New Relic
Grafana
Dynatrace
Sumo Logic
Honeycomb
Microsoft Sentinel
Elastic
Chronicle
Edge Delta
FluentBit
Vector.dev
LogScale
Observe
Microsoft Sentinel
Elastic
Chronicle
Edge Delta
FluentBit
Vector.dev
LogScale
Observe
Microsoft Sentinel
Elastic
Chronicle
Edge Delta
FluentBit
Vector.dev
LogScale
Observe
AWS CloudWatch
Datadog Logs
Splunk Cloud
QRadar
Exabeam
Securonix
ArcSight
OpenSearch
AWS CloudWatch
Datadog Logs
Splunk Cloud
QRadar
Exabeam
Securonix
ArcSight
OpenSearch
AWS CloudWatch
Datadog Logs
Splunk Cloud
QRadar
Exabeam
Securonix
ArcSight
OpenSearch
Kernel-native interception cleans log data before it leaves the host — feeding high-signal telemetry into the SIEMs, observability stacks, and AI pipelines you already run.
008/Pricing

Predictable hybrid billing.

A low monthly platform fee for easy procurement, plus a share of the savings we generate — the real upside is the split.

T I E R 0 1

Growth

$150/mo
Deeproq keeps 33% of savings

Scaling startups and mid-market teams.

T I E R 0 2RECOMMENDED

Scale

$450/mo
Split drops to 20%

High-frequency, transactional workloads.

T I E R 0 3

Enterprise

$950/mo
Split of 5%–10%

Multi-tenant, sovereign, and legacy systems.

U N D E R $ 1 K

Keeping every platform fee below $1,000/mo clears the credit-card procurement loophole — teams can adopt Deeproq without a lengthy enterprise purchasing review.

0 9 / 1 3
008.5/MVP Testing

Try DeepRoq in your own sandbox.

Spin up an isolated test environment and watch the kernel-level reclamation run against your sample workload. No production access required.

01
Request access
Email us and we provision a sandbox tenant within one business day.
02
Deploy the probe
Drop in the eBPF agent on a single node — read-only, zero config.
03
Measure waste
See live reclamation metrics and projected monthly savings in the dashboard.
Launch Live MVP DemoRequest private sandbox
009/Letter of Intent

Tell us about your stack. We'll show you the waste.

Drop a few details and we'll reach out within one business day. No pitch deck required.

OR EMAIL US DIRECTLY · davone@deeproq.com

© 2026 DEEPROQ SYSTEMS · IN-KERNEL CAPITAL RECLAMATION
PRIVACYTERMSSECURITYSOC 2