Artificial Intelligence Solutions and Services

Infobell helps enterprises identify high-impact AI and ML use cases, evaluate CPU and GPU architectures for performance, and build production-grade Generative AI/ML applications, Agentic-AI, and RAG applications. We deliver AI solutions across industries, including IT operations, Telco, Retail, Healthcare, and Real Estate. From data lifecycle management to performance benchmarking for AI infrastructure and LLM systems, we develop scalable tools and implementation frameworks for various AI/ML use cases like natural language processing, computer vision, and multimodal AI workloads, partnering closely with industry leaders such as NVIDIA, AMD, and Intel.

Introducing Infobell Inference Framework eXpress (IFX)

Inference Framework eXpress is a scalable, open-source LLM inference stack engineered for performance, transparency, and enterprise readiness.

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NVIDIA Powered AI Solutions by Infobell
NVIDIA Powered AI Solutions by Infobell

Infobell is a trusted NVIDIA partner helping enterprises identify high-impact AI and ML use cases, and build and deploy GenAI applications and chatbots using the NVIDIA accelerated computing stack — including GPUs, CUDA, TensorRT, and NVIDIA NIMs. We specialize in performance characterization for LLMs, computer vision, and agentic AI workflows across sectors like IT operations, retail, healthcare, and real estate. From data pipeline design to scalable deployment, Infobell leverages the full NVIDIA ecosystem to deliver state-of-the-art AI solutions at scale. Infobell provides end-to-end product engineering and solution implementation services — from use-case discovery, design, architecture, and AI application development, to model tuning, deployment, and operations. Learn More

AMD Powered AI Solutions by Infobell
AMD Powered AI Solutions by Infobell

Infobell is an AMD engineering and solutions partner helping enterprises unlock GenAI and ML opportunities with AMD’s open, flexible infrastructure — including Instinct GPUs, EPYC CPUs, and the ROCm software stack. We specialize in performance benchmarking, LLM inference frameworks (like IFX), and customized AI solutions such as chatbots, RAG pipelines, and domain-specific model tuning. Sectors served include retail, healthcare, manufacturing, and energy. From use-case discovery and data pipeline design to model development, fine-tuning, deployment, and ongoing operations, Infobell delivers full-stack AI services to accelerate adoption on AMD’s open ecosystem. Learn More

Intel Powered AI Solutions by Infobell
Intel Powered AI Solutions by Infobell

Infobell partners with Intel to deliver robust enterprise AI and ML solutions leveraging Intel Xeon, Gaudi processors, and the OpenVINO™ toolkit. We help customers identify use cases, design architecture, and deploy GenAI applications like internal copilots, RAG pipelines, and industry-specific LLMs — with a focus on performance tuning, cost-efficiency, and secure deployment. Infobell’s expertise spans workload orchestration, vector databases, and optimization of AI workloads for regulated industries like finance, industrial IoT, and telco. We offer end-to-end product engineering and solution implementation services, from design to model development, tuning, deployment, and operations on Intel’s open AI stack. Learn More

Enterprise AI Solutions

RAG logo DocPrep for RAG
Prepare documents for Retrieval-Augmented Generation (RAG) pipelines at scale; discover, parse, and transform large datasets for LLM consumption.
RAG logo ConvoGene
A customizable enterprise chatbot framework with live demo support, optimized for secure and scalable deployment.
RAG logo Transcribe
A conversational AI platform intelligent enough to comprehend and record multi-person conversations across meetings or support calls.
RAG logo VAST
VAST (Video-Audio-Summarization Toolkit) converts video and audio into multilingual, citation-backed text summaries, streamlining compliance, media, and knowledge workflows.
RAG logo SmartE
SmartE applies computer vision to object e.g. vehicles images for fast, explainable deformity (or. damage) assessments, enabling automation and acceleration in business applications like insurance and servicing claim processes.

AI & Cloud Intelligence

RAG logo EchoSwift – LLM Performance Tool
An inference benchmark tool designed for Large Language Models (LLMs), enabling performance analysis across platforms.
RAG logo Carbon Calculator
Track and analyze cloud carbon emissions, helping enterprises minimize environmental impact.
RAG logo Cloud Control
Optimize private cloud infrastructure using advanced analytics for performance and cost-efficiency.
RAG logo Cloud Migration Advisor
A smart solution to assess cloud management costs and recommend cost-reduction strategies through process optimization.

AgenticFlow - Agentic AI Solutions

  • AgenticFlow empowers enterprises to seamlessly design, develop, and deploy intelligent AI agents and end-to-end workflows. From orchestrating autonomous decision-making to integrating multi-agent systems into real-world applications, AgenticFlow provides a unified foundation for building adaptive, scalable AI solutions. Leveraging modular architecture, no-code/low-code interfaces, and enterprise-grade orchestration, it accelerates AI adoption across diverse use cases—enhancing productivity, automation, and responsiveness at scale.

  • AI Agents – Automate queries with human interface

AI Infrastructure and Software Development Services

Gen AI offerings on-prem / Hybrid

  • On Prem K8S – Red Hat OpenShift, VMware Private AI, Nutanix GPT-in-a-Box

  • Cloud – EKS, GKE etc

  • Showcase near-real scaling, LLMOps, deployment on CPU, GPU (Nvidia and AMD)

Performance & Architecture Services

TCO analysis, Sizing, Scaling, Reference Architectures, Benchmarking

  • TCO Analysis for customer solutions
  • Sizing and Reference Architecture for customer use cases
  • Benchmarking-as-a-Service
  • Scale test and identify architectural bottlenecks for production deployments Accelerate AI implementations – Ease of Adoption

Accelerate AI Go To Market – Ease of Adoption

AI Apps Research and Development

  • Research and Investigations on models, training

  • Software and environment bring up and deploy for analysis

  • AI Performance and scale tests

Run Experiments

  • Inferencing

  • Training

  • Comparison of models

Run Benchmarks

  • Build benchmarks (different types of infra / models for comparative analysis) e.g. Ecoswift

  • Generate new datasets

  • Expertise in running MLPerf, TPC-AI, HPC benchmarks on GPU and inference benchmarks for LLMs

  • Fine-tune, analyze, debug

Build Guides

  • Simple to use documents for customers to build their solutions

Reference Architecture

  • Recommended architectures for various solutions which are tried and tested

Infra – Sizing and TCO Analysis

  • Sizing reference architectures for different configurations of GPU, CPU, scale and performance

  • TCO analysis for customers

Live Demo & Templates

  • DIY templates and live demos for various verticals and use cases such as Chatbots, Co-pilots

  • GTM Demos

Support / Drive Customer PoCs

  • Successful PoC translate to customer adoption and we can drive or provide 24/7 support for customer PoCs

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