THE CONTROL LAYER
FOR SOVEREIGN
CLOUD DECISIONS

Atomity helps teams decide where every workload should run, prove why, and keep it optimized across clouds.

01
Detect Optimization
Command Line
22  module "inference_fleet" {
23      source = "./modules/inference_fleet"
24      provider = "gcp"
25      worker_profile = "a100x8"
26      workload = "llm-inference"
27      region = "frankfurt"
28      sla_profile = "development"
29  }
Command Line
22  module "inference_fleet" {
23      source = "./modules/inference_fleet"
24      provider = "ionos"
25      worker_profile = "h200x2"
26      workload = "llm-inference"
27      region = "frankfurt"
28      sla_profile = "development"
29  }
02
Engine Processes Fix
Build Cross-Cloud Migration Plan
03
Benchmark & Approve
Benchmark Passed
Optimization Approved
Throughput: PASSED
p95 SLA: PASSED
Risk: MEDIUM
Confidence: 84%
Approve
Deny
04
Execute & Notify
GitHub
Draft pull request
Success
Jira
Open Jira ticket
Success
Slack
Ping Slack channel
Success
05
Measure Savings
Estimated Cost Savings
Earlier GCP fleet €18.6k/mo
Current IONOS Fleet €8.8k/mo
Estimated Monthly Savings€9.8k

TRUSTED BY THE MOST AMBITIOUS TEAMS

Alugha
Diplomatic World
Seceon
Metropolregion Rhein-Neckar
Wirtschaftsregion Bergstrasse
Alugha
Diplomatic World
Seceon
Metropolregion Rhein-Neckar
Wirtschaftsregion Bergstrasse
Alugha
Diplomatic World
Seceon
Metropolregion Rhein-Neckar
Wirtschaftsregion Bergstrasse

NEXT-GENERATION CLOUD CONTROL

Unify visibility, governance, and economics across your entire cloud estate.

EUSOVEREIGN ENVIRONMENT
Realized monthly saving
€9.5k/mo
Realized vs €9.8k planned
Audit status
Completed
Optimization verified
Carbon avoided
1.8tCO₂e/mo
Verified vs GCP baseline
Data residency
100%EU
All workloads in-region
Cost01

Scenario Recommendation

Save 9.5k/mo
A
Recommended now
IONOS H200-S (Continuity)
Balanced option with low risk and strong fit.
B
High-upside path
IONOS H200-M (Consolidation)
Highest savings potential; benchmark required.
C
Baseline fallback
Stay on GCP
Maintain current state with no change.
Compliance02

Policy & Guardrails

5/5
EU-only processingPassed
Secrets migrationPassed
Rollback window (7d)Passed
p95 latency thresholdPassed
Availability thresholdPassed
Carbon03

Emission Monitoring

4/4 live
Grid carbon intensity212 g/kWh
GPU utilization driftNormal
Renewable share78%
CSRD reporting feedActive
−1.8t CO₂e per month after consolidation, tracked continuously.
Live widgets — drag to rearrange, × to removeRegion: eu-central · Frankfurt

WHERE YOUR WORKLOADS RUN MATTERS

UNPREDICTABLE AI COSTS

AI workloads create volatile and hard-to-control infrastructure spend.

ELIMINATE CLOUD WASTE

Overprovisioning and idle compute silently drain budgets.

GPU COST OPTIMIZATION

Balance performance and cost across high-demand accelerators.

PRICE VARIATION ACROSS CLOUDS

Costs differ significantly by region, provider, and availability.

MEASURE REAL ROI

Tie infrastructure spend directly to business outcomes.

AUTOMATE FINOPS DECISIONS

Continuously optimize cost without manual intervention.

Sovereign by Design

Metrics Under Verification

30
CLOUD COST
100
OPTIMIZATIONS
10
CLOUD PLATFORMS
100
GUARDRAIL ENFORCED

Industry's deepest waste detection

Goes beyond utilization. Atomity correlates configuration, telemetry, code and commitments to surface why a resource is wasteful, not just that it is. Works across AWS, Azure, GCP, Kubernetes, Snowflake and Databricks.

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Cloud Utilization
AWS
Azure
GCP
K8s
Utilized
Wasted
Over-Provisioned
Compute Instances
AWS · EC2
Under-Utilized
Databases
Azure · SQL
Stale Data
Object Storage
AWS · S3
Orphaned
Unattached Volumes
GCP · Persistent Disk
Detected across your entire cloud
128 findings surfaced
Automated Remediation
A
Atomity Intelligence Core
Finding verified
Draft pull request · GitHub
Success
Open ticket · Jira
Success
Notify owner · Slack
Success
Estimated monthly savings
−38%
Monthly cost
JanFix applied · MarJun
Engineering keeps control
FinOps gets evidence

Findings turn into fixes, in minutes

Atomity's remediation workflow drafts the PR, opens the Jira ticket, pages the owner in Slack, and verifies the fix lands. Engineering keeps control; FinOps gets evidence.

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CONTINUOUS OPTIMIZATION PIPELINE

/ OPTIMIZATION STAGES

Ingest
Understand
Decide
Act
AWS
AZURE
GCP
IONOS
HETZNER
OVHCloud
STACKIT
K8s
Billing · Usage · Activity
Atomity
Intelligence Core
Isolated per customer
Dedicated infrastructure
ML learns your patterns
CONTINUOUS OPTIMIZATION
Policy Engine
Tenant
Sub-tenant B
Sub-tenant A
CostSpend, by workload and team
SovereigntyWhere data lives, who controls it
Risk & ComplianceGDPR, DORA and NIS2 checks
CarbonEmissions of every workload
Executed Safely
Human sign-off first
Small steps, then expand
Snapshot before change
Auto-undo if anything drifts
FinOpsEngineeringSECURITYOperations
Learn
01Ingest
Atomity connects to every cloud in use — billing, usage and activity data flows in automatically.
/ WHAT OUR CUSTOMERS SAY
Dr. MATTHIAS WILKES
LANDRAT A.D., BERGSTRASSE REGIONAL CHAIRMAN MIT
MIT Bergstraße

Atomity addresses a crucial question for Europe’s digital future: how can we strengthen digital capabilities without losing control over critical infrastructure? I am pleased to support this development through my professional network.

DIETER BROCKMEYER
FOUNDER
DIPLOMATIC WORLD INSTITUTE

Atomity is closing a gap by securing data autonomy across cloud services and cuts cost, some major concern especially for smaller enterprizes with limited budgets. What more can they be asking for?

THOMAS WIELAND
Head of the Digitalization and E-Government
Metropol Rhein necker

Atomity is responding to a growing public-sector need: making cloud infrastructure decisions more transparent, structured and controllable. The founders combine technical ambition with a willingness to listen, learn and align their work with real institutional needs.

Atomity dashboard scaling the control layer to workload limits in real time

INTELLIGENCE LAYER

Turn cloud spend into a strategy. The Intelligence Layer is designed to track each workload, surface waste, and tune for cost and efficiency, so spend maps to a deliberate strategy, not drift.

Pricing

For Emerging Teams

Fast visibility into cloud cost, utilization, and optimization opportunities within a single hyperscaler environment. Designed for teams that want to understand where cloud spend is being wasted before enabling automation.

Key Inclusions

  • Single-cloud support: AWS, Azure, or GCP
  • Dashboard-based cost visibility
  • GPU and compute utilization insights
  • Cost and performance recommendations
  • Waste detection for underutilized resources

UNDERSTAND.
OPTIMIZE.
AUTOMATE.

Move from visibility to fully sovereign, policy-driven workload orchestration, without changing your infrastructure.

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Frequently asked questions

A sovereign cloud control layer is a decision-and-control system that helps a regulated organization choose where each workload runs, under which policy, and with what audit evidence, across sovereign and multi-cloud environments. Unlike sovereignty features built into a single provider: key management, privileged-access controls. Atomity's layer is vendor-neutral and spans clouds, weighing cost, compliance, sovereignty, and carbon in one auditable decision.

Data residency is where data is stored and processed. Sovereignty is whose laws govern access to it. EU data residency alone does not remove foreign jurisdictional exposure such as the US CLOUD Act. Atomity is designed to help you evaluate residency and sovereignty together and keep decision records for audit.

Data residencyData sovereignty
FocusWhere data is stored and processedWhose laws govern access to it
Core questionWhere does my data live?Which jurisdiction can compel it?
EU exampleEU data kept in an EU regionEU data still reachable under the US CLOUD Act
Atomity's roleEvaluate residency per workloadWeigh jurisdiction and retain audit evidence

No. Atomity is not a cloud provider, hyperscaler, or data center. It is a control layer that sits above your existing clouds: sovereign and hyperscaler, to help you decide, monitor, and audit where workloads run. You keep your providers; Atomity governs the decisions across them.

Most FinOps tools optimize cost and most CSPM tools optimize security posture. Atomity sits one layer up as a decision-and-control layer that brings cost, compliance, sovereignty, and carbon into a single, auditable placement decision, not just a cost dashboard or a posture scan.

Atomity is designed to work across supported hyperscaler and European/sovereign providers including AWS, Azure, and Google Cloud alongside STACKIT, Hetzner, OVH, and IONOS, so placement decisions can span both.

No. Atomity does not run, host, or execute your workloads. It evaluates requirements, checks policy, assesses sovereignty, residency, risk and cost, and helps you decide and document where workloads should run while your existing infrastructure still runs them.

/ GET STARTED

MAKE SOVEREIGN CLOUDDECISIONS WITH CONFIDENCE

Turn sovereignty requirements into enforceable cloud decisions, with continuous visibility and evidence across providers.