InnoTech redefines telecom infrastructure with autonomous AI agents, real-time digital twins, and outcome-driven orchestration – compressing COGS, unlocking efficiency at scale, and turning your central office into a profit center.

InnoTech streamlines central office operations, reduces costs, and scales enterprise-wide to maximize impact and customer value.

InnoTech’s AI-native operations platform redefines how telecom central offices manage network integrity, operational efficiency, and infrastructure scalability across increasingly complex environments.

Built for high-density, high-availability telecom operations, our platform brings autonomous intelligence to the core of central office management—streamlining performance across edge, metro, and backbone layers.

InnoTech’s AI-native operations platform redefines how telecom central offices manage network integrity, operational efficiency, and infrastructure scalability across increasingly complex environments.
Built for high-density, high-availability telecom operations, our platform brings autonomous intelligence to the core of central office management—streamlining performance across edge, metro, and backbone layers.

By consolidating control across power systems, HVAC, network security, compute nodes, patch management, observability, and technician workflows, InnoTech removes the operational drag of fragmented legacy tools and siloed infrastructure.
This unified orchestration model reduces OPEX, accelerates response times, and ensures infrastructure is always aligned with dynamic network demands.

Our Agent-as-a-Service framework enables flexible, usage-based AI optimization across physical and virtual environments—minimizing license complexity and lowering total cost of ownership.
Integrated digital twins continuously simulate real-time network loads and service disruptions, allowing proactive testing, self-healing capabilities, and resilient path management at scale.

Through intelligent processing of existing telemetry and operational data, InnoTech transforms signal noise into actionable, profit-driving decisions.
The result: higher throughput, improved service assurance, optimized resource allocation, and meaningful P&L impact for telecom operators navigating the AI era.

  Purpose-built for telecom central offices, our platform drives efficiency, lowers costs, and supports scalable enterprise deployment.  

Network Traffic Prediction & Optimization

Solves congestion, poor quality of service (QoS), and inefficient bandwidth utilization by using predictive modeling of traffic surges; dynamic routing via SDN.

  • Reduced latency, improved throughput, minimized packet loss.

Predictive Maintenance for Network Infrastructure

Eliminates unplanned equipment failures, service outages, and reactive maintenance cycles through anomaly detection from IoT sensor data; ML-based failure predictions.

  • Provides Increased uptime, lower MTTR, reduced truck rolls.

Intelligent Network Capacity Forecasting

Prevents overbuilding, under-provisioning, and CapEx misallocation through demand forecasting using historical usage, demographic, and event data.

  • Reduces CapEx, and optimizes resource allocation.

Fraud Detection & Revenue Assurance

Reduces subscription fraud, SIM card cloning, and revenue leakage by leveraging real-time anomaly detection, behavioral biometrics, & pattern recognition.

  • Improves ARPU, regulatory compliance, & reduced financial loss.

Churn Prediction & Proactive Retention

Reduces customer attrition, & low lifetime value (LTV) by analyzing behavioral segmentation, churn risk scoring, & personalized retention offers.

  • Higher retention rate, increased LTV, & targeted marketing.

SLA Monitoring & Automated Resolution

Reduces SLA violations, manual issue triage, and delayed ticket handling through our AI triage engine, auto-remediation bots, event correlation engines.

  • Strengthens compliance assurance, SLA-backed service quality, & reduced penalties.

Energy Consumption Optimization at Base Stations & Edge

Reduces High operational energy cost and carbon footprint through our dynamic power management system based on traffic load; & AI-controlled cooling.

  • Reduces OpEx, promotes ESG alignment, & energy efficiency.

5G Slice Management and Orchestration

Reduces inflexible provisioning and inefficient resource usage in 5G through our autonomous slice lifecycle management system based on service demand.

  • SLA-driven slicing, optimized resource sharing, & ultra-low latency.

Real-Time Quality of Experience (QoE) Management

Reduces invisible network issues impacting user experience by leveraging our end-to-end QoE modeling; & correlation of app metrics with network KPIs.

  • Provides adaptive resource prioritization, customer loyalty, experience guarantees.