semXaiTechnologies Pvt. Ltd.
semXai builds the world’s first Agentic AI Data Center platform, unifying intelligent AI silicon, adaptive software, and secure compute infrastructure.
We deliver 45× higher efficiency, 70% lower energy use, and next-generation AI performance—making global AI deployments faster, greener, and economically sustainable.
AI that thinks. Silicon that adapts. Infrastructure that lasts.
Beyond Silicon.
semXai is a deep-tech company redefining how the world runs AI. We engineer custom AI System-on-Chips, hardware-aware optimization software, and multi-tenant agentic AI runtime systems that autonomously tune performance, power, and thermal behavior across workloads.
Our integrated stack replaces power-hungry GPUs with intelligent, self-optimizing silicon, enabling hyperscalers, enterprises, and edge platforms to deploy AI with radically lower costs and environmental impact.
Research Footprint
152
Conference Papers
100
Journal Publications
53
Patents Filed
Corporate partners
Agentic AI
The Challenge
Generative AI and agentic AI applications are revolutionizing industries, but their rapid growth comes with alarming operational realities. Data centers are struggling under the load of massive AI models, facing skyrocketing power consumption, thermal management challenges, and ballooning operational costs. Latency-sensitive workloads and edge deployments are particularly affected, making high-quality AI services expensive, inefficient, and environmentally unsustainable. As AI adoption scales globally, these issues threaten both profitability and the ability to deliver responsive, multi-tenant AI experiences.
The Solution
semXai addresses these challenges by redesigning AI compute from the ground up, integrating hardware and software intelligence for maximum efficiency and adaptability.
Compile-Time Intelligence
Standard GPU/NPU Performance
The Approach
At compile time, semXai applies hardware platform-aware model compression and operator fusion, aligning neural networks to silicon datapaths for peak efficiency. This process ensures that models are not just smaller and faster, but also fully optimized for the underlying hardware.
The Impact
By analyzing the chip architecture and data flow paths, the system reorganizes computations, reduces redundancy, and maximizes compute utilization. This approach minimizes memory footprint, energy consumption, and unnecessary computation before deployment, creating a foundation for highly efficient AI workloads that are ready for both data center and edge operations.
Runtime Intelligence
Standard Runtime Metrics
Adaptive Tuning
During runtime, semXai's platform employs user-experience–driven power, performance, and thermal tuning, which adapts dynamically using proprietary lightweight reinforcement learning. The system monitors workload intensity, task priority, and operational constraints in real time, autonomously adjusting power budgets, clock speeds, and thermal profiles to maintain smooth, responsive AI performance.
The Benefit
This intelligence ensures consistent quality of service for multi-tenant applications while reducing operational energy use. The platform balances speed, latency, and energy efficiency, enabling cost-effective AI at scale and supporting continuous, uninterrupted operations even under varying workloads.
Design-Time Intelligence
semXai Advantage
Architecture
At the architectural design stage, semXai introduces a reconfigurable chip architecture optimized for agentic, multi-step reasoning and complex task flows. The design incorporates fine-grained power domains, allowing selective activation and deactivation of chip components to conserve energy across multiple nodes.
Sustainability
By combining modular compute units with dynamic task scheduling, aggregated energy consumption can be reduced dramatically across clusters of chips. This design philosophy ensures that hardware is not just powerful, but intelligent, adaptable, and sustainable, supporting ultra-low-power operation without sacrificing compute capacity or multi-tasking capabilities. The architecture is built to scale efficiently across hundreds of nodes while maintaining peak performance under variable AI workloads.
Why semXai
Integration
semXai uniquely integrates compile-time, runtime, and design-time intelligence into a single cohesive platform. By optimizing software, hardware, and system-level interactions, semXai delivers AI compute that is secure, energy-efficient, and highly responsive.
The Future
Unlike traditional GPU-based solutions, our agentic AI platform adapts continuously, scales seamlessly, and minimizes operational overhead, enabling businesses to deploy advanced AI applications sustainably and cost-effectively. semXai is not just building chips or software; we are redefining how AI is computed, delivered, and scaled for the next generation of intelligent infrastructure.
Agentic AI
The Challenge
Generative AI and agentic AI applications are revolutionizing industries, but their rapid growth comes with alarming operational realities. Data centers are struggling under the load of massive AI models, facing skyrocketing power consumption, thermal management challenges, and ballooning operational costs. Latency-sensitive workloads and edge deployments are particularly affected, making high-quality AI services expensive, inefficient, and environmentally unsustainable. As AI adoption scales globally, these issues threaten both profitability and the ability to deliver responsive, multi-tenant AI experiences.
The Solution
semXai addresses these challenges by redesigning AI compute from the ground up, integrating hardware and software intelligence for maximum efficiency and adaptability.
Compile-Time Intelligence
The Approach
At compile time, semXai applies hardware platform-aware model compression and operator fusion, aligning neural networks to silicon datapaths for peak efficiency. This process ensures that models are not just smaller and faster, but also fully optimized for the underlying hardware.
The Impact
By analyzing the chip architecture and data flow paths, the system reorganizes computations, reduces redundancy, and maximizes compute utilization. This approach minimizes memory footprint, energy consumption, and unnecessary computation before deployment, creating a foundation for highly efficient AI workloads that are ready for both data center and edge operations.
Standard GPU/NPU Performance
Runtime Intelligence
Adaptive Tuning
During runtime, semXai's platform employs user-experience–driven power, performance, and thermal tuning, which adapts dynamically using proprietary lightweight reinforcement learning. The system monitors workload intensity, task priority, and operational constraints in real time, autonomously adjusting power budgets, clock speeds, and thermal profiles to maintain smooth, responsive AI performance.
The Benefit
This intelligence ensures consistent quality of service for multi-tenant applications while reducing operational energy use. The platform balances speed, latency, and energy efficiency, enabling cost-effective AI at scale and supporting continuous, uninterrupted operations even under varying workloads.
Standard Runtime Metrics
Design-Time Intelligence
Architecture
At the architectural design stage, semXai introduces a reconfigurable chip architecture optimized for agentic, multi-step reasoning and complex task flows. The design incorporates fine-grained power domains, allowing selective activation and deactivation of chip components to conserve energy across multiple nodes.
Sustainability
By combining modular compute units with dynamic task scheduling, aggregated energy consumption can be reduced dramatically across clusters of chips. This design philosophy ensures that hardware is not just powerful, but intelligent, adaptable, and sustainable, supporting ultra-low-power operation without sacrificing compute capacity or multi-tasking capabilities. The architecture is built to scale efficiently across hundreds of nodes while maintaining peak performance under variable AI workloads.
semXai Advantage
Why semXai
Integration
semXai uniquely integrates compile-time, runtime, and design-time intelligence into a single cohesive platform. By optimizing software, hardware, and system-level interactions, semXai delivers AI compute that is secure, energy-efficient, and highly responsive.
The Future
Unlike traditional GPU-based solutions, our agentic AI platform adapts continuously, scales seamlessly, and minimizes operational overhead, enabling businesses to deploy advanced AI applications sustainably and cost-effectively. semXai is not just building chips or software; we are redefining how AI is computed, delivered, and scaled for the next generation of intelligent infrastructure.
Government & research partners
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