Infrastructure Modernization Through Software

Extend hardware life. Cut cooling and GPU waste. Defer refresh cycles—without migrations, downtime, or application rewrites.

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Non-disruptive overlay On-prem ready Data sovereignty aligned

Built on proven execution—now focused on critical infrastructure.

Past

Successful game business with proven fundraising and scaling capabilities—demonstrating execution under pressure.

Present

Software-led modernization for hardware and AI infrastructure, extending lifecycles without replacement.

Future

Senshi AI agent plus orchestration/optimization layer for autonomous infrastructure economics.

Three pillars of infrastructure optimization

Purpose-built software for extending hardware value and reducing operational waste.

Lifecycle Extension

Extend data center hardware lifecycles by 2-4 years through thermal-aware workload scheduling and proactive health monitoring.

AI Infrastructure Cost Optimization

Increase GPU utilization from 40% to 75%+, reducing cost-per-inference and deferring multi-million dollar refresh cycles.

Sovereign & On-Prem Optimization

MENA-ready solution addressing climate realities, import constraints, and data sovereignty requirements.

Use Case #1

Data Center Lifecycle Extension

The Challenge

Traditional data centers reach end-of-life due to thermal stress, unpredictable failures, and mounting maintenance costs—forcing expensive hardware refresh cycles every 3-5 years.

The Software Layer

1

Thermal-Aware Scheduling

Dynamic workload placement based on real-time temperature data and hardware health metrics.

2

Predictive Maintenance

ML-driven failure prediction reduces unplanned downtime by 60%.

3

Cooling Optimization

Intelligent cooling coordination cuts HVAC costs by 20-30%.

4

Non-Disruptive Deployment

Software overlay integrates with existing orchestration—no infrastructure replacement.

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Impact Summary

2-4 years
Years Extended
Hardware lifecycle extension
25%
Cost Savings
Reduction in total ownership cost
60%
Downtime Reduction
Fewer unplanned outages

Impact Summary

75%
GPU Utilization
Up from 40% baseline
40% ↓
Cost Per Inference
Reduction through optimization
$8M+
CapEx Deferred
Per 100-node cluster annually
Use Case #2

AI Infrastructure Cost Optimization

The Challenge

GPU clusters run at 40-50% utilization while consuming maximum power and cooling. Training and inference workloads compete inefficiently, driving premature hardware expansion.

The Software Layer

1

Workload Orchestration

Dynamic scheduling between training, inference, and batch jobs maximizes GPU density.

2

Power-Aware Placement

Match workload intensity to thermal capacity and power limits.

3

Multi-Tenant Optimization

Intelligent resource sharing across teams without performance degradation.

4

Real-Time Economics

Continuous TCO tracking and optimization recommendations.

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Why This Works in MENA

Purpose-built for regional realities: climate, sovereignty, and strategic infrastructure goals.

Climate Tax

50°C+ ambient temps increase cooling costs 40%. Our thermal-aware scheduling reduces this burden dramatically.

Import Dependency

Hardware refresh delays cost millions. We extend lifecycles, reducing exposure to supply chain volatility.

Data Sovereignty

On-premises deployment model. No cloud dependencies. Full control over data and operations.

Vision 2030 Alignment

Supports strategic tech sovereignty goals while optimizing existing infrastructure investments.

Non-Disruptive Architecture

A software overlay that integrates with existing infrastructure without replacement or migration.

Inputs

  • • Hardware telemetry
  • • Thermal sensors
  • • Workload patterns
  • • Power metrics

Optimization Layer

  • • Thermal-aware scheduling
  • • Workload orchestration
  • • Predictive maintenance
  • • Real-time optimization

Outcomes

  • • Extended lifecycles
  • • Reduced cooling costs
  • • Higher utilization
  • • Deferred CapEx

Integrates with: Kubernetes, VMware, OpenStack, bare metal orchestration, existing monitoring tools

Outcome-Linked Pricing

Our fees are a fraction of the value we create. You retain the majority of savings and lifecycle extensions.

Metric Typical Value Created Our Fee Model
Hardware lifecycle extension $5-15M deferred CapEx over 2-4 years 15-20% of value retained
Cooling + power optimization $2-5M annual OpEx reduction 20-25% of savings
GPU utilization gains 35% increase = $8M+ deferred expansion Subscription based on node count
Pricing structured as annual subscription with outcome guarantees. No savings = no full fee.
💬
"We were facing a $12M hardware refresh in 2025. The optimization layer extended our lifecycle by 3 years and cut cooling costs by 28%. The ROI was measurable within 90 days."

— VP of Infrastructure, Regional Data Center Operator

*Client name withheld per NDA. Full case study available under confidentiality agreement.

Leadership Team

Experienced leaders driving infrastructure modernization through software optimization.

NE

Noaf Ereiqat

Chairwoman and Acting Managing Director

Strategic leader driving the company's infrastructure modernization vision with deep expertise in enterprise technology transformation.

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OM

Osman Masud

Director

Technology strategist with extensive experience in scaling infrastructure solutions across enterprise environments.

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SE

Saqr Ereiqat

Director

Infrastructure specialist focused on operational excellence and software-driven optimization strategies. With over 20 years of experience...
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SM

Sebastian Melz

Director

Operational leader with proven track record in building and scaling enterprise technology businesses.

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Own your infrastructure. Optimize its destiny. Multiply its value.

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