EIC NomAIzo™

Enabling End-to-End AI
From Edge Intelligence to Enterprise Strategy

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Enterprises today face several challenges in adopting and scaling edge-to-cloud AI solutions. Integrating data and intelligence across distributed edge devices and centralized cloud systems creates interoperability, latency, and scalability issues. Lengthy development cycles and high deployment costs slow AI innovation and limit ROI. Managing diverse hardware, communication protocols, and legacy systems adds further complexity. Vendor lock-in restricts flexibility in choosing devices or platforms, while maintaining and updating models across the edge-to-cloud continuum is difficult. Additionally, organizations struggle to build adaptable, future-proof AI architectures that support continuous learning and customization.

What is EIC NomAIzo™ ?

EIC NomAIzoTM is a set of AI-focused services, solutions and platforms to drive edge to enterprise AI adoption. EIC NomAIzoTM provides edge-to-cloud AI capabilities, ready-to-use accelerators across the product lifecycle and vendor independence. It also leverages eInfochips’ three decades of experience in developing connected solutions and silicon-to-software expertise to help customers get the best out of their AI initiatives. EIC NomAIzoTM helps enterprises accelerate growth, build connected ecosystems and unlock efficiencies at scale.

EIC NomAIzo™ Tech Stack

Edge Devices (Sensors & Actuators)​

Camera

Camera​

Lidar​

IMU

IMU​

GPS​

Mic​

ToF

ToF​

Encoder​

Motors

Motors​

Silicon Platforms​

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Analog_Devices_Logo
NXP
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Connectivity Enablement​

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mMTC
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eMBB

Device Engineering Services​

Hardware Design, Embedded system & Software, Multimedia, Industrial/Mechanical Design, Design to Manufacturing

SOMs & Reference Designs​

Aikri (Qualcomm), NXP i.MX93/95, JetCarrier (NVIDIA), Camera Modules​

Frameworks​

Reusable Camera Framework, Edge Virtualization, Wireless Connectivity Test Automation Framework, Bluetooth Qualification Framework, Nvidia/Ambarella based Autonomous Mobile Robot, Digital Twin , NLP based Voice Assistant Quality Automation framework​​

Edge Gateways & Edge Intelligence​

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Azure IoT Edge
Nvidia Deepstream
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AWS-Greengrass
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Network Protocols​

Message Brokers​

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STOMP
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Mosquitto
RabbitMQ_logo
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Apache Kafka logo
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Edge Computing / Edge AI​

IoT Gateway/Framework Development, Data Ingestion & Pre-Processing, Model Porting and Optimization, Model Inferencing, FOTA​

SOMs & Reference Designs​

Industrial Gateway, AMR Reference Design

Frameworks & Libraries ​

IoT Gateway, e-EYE, AutoHears, On device LLM inference accelerator, ​Qualcomm based Edge Computing Accelerator, Real-time Face Recognition, AI driven Perception & Simulation Pipeline for AMRs

Cloud, Apps & Data Engineering​

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  • AWS (IoT Greengrass, RoboRunner, SageMaker)​
  • Microsoft Azure (IoT Hub, Azure ML, Percept)​
  • Google Cloud (Edge TPU, Vertex AI, Cloud IoT Core​
  • EIC PROPEL​
  • Conxero​
  • GenAI Suite​
  • CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD​
  • MLOps, MLFlow, Kubeflow, SageMaker Pipelines​
  • Data ingestion, transformation and integration ​

Generative AI based Conversational chatbot​

Generative AI based Imaging Accelerator​

Threat Modeling ​
Copilot​

SRE
Copilot​

EIC
AI Studio ​

Agentic AI based ​Testing Tool​

Why eInfochips for EIC NomAIzo™ ?

Edge-to-Enterprise Coverage

Faster Time to Market Upto 40%

TCO Reduction Upto 50%

Future-Proof Investment Emphasizing Adaptability, Modularity, and Open-Source Principles

Customizable for Diverse AI Applications

Vendor Independence

Talk To   Our Experts

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Reference Designs

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Partnerships

Quality Partnerships

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