NeuroScale™ – Intelligent Infrastructure for Hybrid Cloud

From reactive scaling to proactive intelligence — AI transforms infra into a self-optimizing system.

NeuroScale senses demand, predicts change, and continuously adapts your infrastructure — across cloud, edge, and on-prem — to optimize performance, cost, and availability without human intervention

❗ The Problem with Hybrid Infrastructure

🧱 Manual scaling and provisioning

🔍 Performance tuning handled post-failure

💰 Inefficient use of spot/reserved capacity

📍 Poor workload placement across cloud/edge/core

🧑‍🔧 SREs overwhelmed by low-level tuning tasks

AI-native platforms don’t just need more infrastructure. They need infrastructure that adapts — autonomously, intelligently, and in real time.

The NeuroScale™ Architecture

Adaptive. Autonomous. AI-Native.

AutoPilotAI

Predictive auto-scaler that reacts before your metrics do. Eliminates static thresholds.

WorkloadIQ

Real-time scheduler that places workloads across hybrid environments based on latency, availability, and policy.

FlexCost

Smart cost balancer that moves workloads dynamically across spot, reserved, and on-demand capacity for optimal savings.

PerfTuner

AI-driven runtime optimizer that continuously tunes CPU, GPU, memory, and network resources based on workload behavior.

InfraSense

Observability and anomaly detection layer tailored for hybrid infrastructure — from edge to cloud to on-prem.

🧩 InfraOS

Unified control and policy plane for managing infrastructure intent across multi-cloud, edge, and core systems.

  • Predictive Auto-Scaling

    📈 Anticipate demand spikes — scale ahead of time, not after the fact.

  • Cost-Aware Resource Orchestration

    💸 Dynamically balance performance and cost by shifting between spot, reserved, and on-demand resources.

  • AI-Powered Performance Tuning

    ⚙️ Continuously optimize compute, memory, and network configuration — without human intervention.