InnoTech revolutionizes your data center with AI agents, digital twins, and workflow-driven outcomes—cutting costs and transforming COGS into a competitive edge.

Autonomous data center optimization software fueled by enterprise-grade AI.

InnoTech’s AI-powered end-to-end monitoring and operations platform transforms how hyperscalers, data center providers, & telecom central offices manage performance, efficiency, and scalability.

By digitizing and unifying infrastructure control across power, HVAC, security, GPUs, patching, observability, and workforce scheduling, InnoTech eliminates the complexity and cost of fragmented tools and siloed systems.

Our AI Agent-as-a-Service model delivers flexible, consumption-based optimization with fewer licenses and lower lifecycle costs. Digital twins enable real-time simulation and stress testing of every network path, ensuring resilience and agility.

With smart use of existing data, InnoTech turns operational noise into actionable insights—driving P&L growth, enhancing valuations, and unlocking the full economic value of AI-driven operations.

Purpose-built for data center leaders, our AI-driven platform exposes inefficiencies and unseen performance gaps.

Energy Consumption Forecasting

Uses operational data to project energy needs and manage sourcing efficiently.

  • Enables load balancing based on power demand projections

  • Improves budget forecasting and energy contract decisions

  • Mitigates risk of power shortfalls or surges

Resource Analysis and Optimization

Analyzes utilization rates and optimizes allocation across compute, storage, network, and cooling resources.

  • Improves resource utilization rates across all layers

  • Prevents over-provisioning and idle capacity

  • Drives CAPEX and OPEX efficiency

Intelligent Workload Management

Anticipates demand to optimize compute, storage, and energy use.

  • Improves operational readiness for future workloads

  • Optimizes infrastructure scaling and cost alignment

  • Avoids resource contention and performance degradation

Predictive Analytics and Maintenance

Leverages historical data to detect early signs of hardware failure (servers, disks, power supplies, HVAC systems).

  • Forecast Equipment Failures

  • Prevent Downtime

  • Improve Operational Efficiency

Capacity Planning & Demand Forecasting

Combines real-time telemetry with AI-driven forecasting models to predict workload and resource demand changes.

  • Prevents service degradation by planning ahead

  • Reduces costs by avoiding reactive scaling

  • Supports efficient infrastructure procurement cycles

Security & Threat Detection

Integrates with service desks to auto-triage and escalate infrastructure tickets using AI.

  • Real-time threat monitoring

  • Automated incident response

  • Enhanced vulnerability detection

Dynamic Cooling Optimization

Continuously monitors operational data to identify and recommend areas to reduce OPEX, increase efficiency, and improve budget alignment.

  • Identifies operational inefficiencies in real time

  • Reduces unnecessary spend across energy, hardware, and labor

  • Improves financial predictability and margin performance

Digital Twins

Creates virtual replicas of physical systems to simulate changes, test optimizations, and validate performance scenarios without impacting live environments.

  • Allows safe simulation of infrastructure changes

  • Improves system performance tuning accuracy

  • Accelerates root cause analysis and resolution

Asset Management

Tracks, monitors, and optimizes the lifecycle of physical and virtual assets across inventory, performance, and maintenance metrics.

  • Provides real-time visibility into asset status and location

  • Optimizes asset utilization and ROI

  • Reduces losses from asset mismanagement or underuse