Solutions

AI Build and Engineering

Design, build and scale enterprise-grade AI solutions from concept to production. We help organizations operationalize AI through robust architecture, engineering rigor, and cloud-native deployment models.

What We Offer

End-to-end AI engineering across agents, GenAI applications, and machine learning systems. Our expertise spans LLM-based platforms, prompt engineering, RAG architectures, intelligent data pipelines, multi-model orchestration, and automated CI/CD - delivering secure, scalable, and production-ready AI.

AI-Agents for Business Workflows

Design and deploy AI agents that automate and augment business processes across sales, operations, finance, and customer service—enabling intelligent task execution, decision support, and workflow orchestration.

GenAI & LLM-based Applications

Build LLM-based solutions powered by advanced prompt engineering, platform deployment, and full-stack web applications—enabling conversational interfaces, knowledge copilots, and enterprise productivity tools.

RAG-based Systems

Develop enterprise document ingestion pipelines with intelligent retrieval, Retrieval-Augmented Generation (RAG) architectures, and contextual knowledge access—ensuring accurate, secure, and explainable AI outputs.

ML Engineering & Cloud-Native Deployment

Deliver ML model development, tuning, validation, and MLOps frameworks with multi-model orchestration and automated CI/CD pipelines—enabling scalable, cloud-native AI deployment and continuous model improvement.

Impact Stories

Our work speaks through results. From market entry strategies to competitive turnarounds, these stories showcase how our intelligence has powered real-world outcomes for global leaders.

Conducting Customer Satisfaction Study for an Online Innerwear Brand

Objective & Scope

The client, a leading online retailer of innerwear, sought to deepen its understanding of customer preferences and experiences across the innerwear purchase journey. It engaged Benori to combine customer analytics with primary research to generate a comprehensive view of buying behavior. The scope included analyzing an existing set of customer data provided by the client and augmenting it with a customer perception survey to triangulate insights on: Overall preferences of Indian women across color, pattern, fabric, and usage occasion City-wise and regional variations in lingerie buying behavior

Approach

Benori adopted a mixed-method approach that integrated customer analytics with primary survey research. Historical customer data shared by the client was analyzed to identify patterns in browsing, purchase, and category preferences. These findings were validated and enriched through a detailed customer perception survey focused on purchase drivers, brand expectations, and value-added features. Insights from both data sources were triangulated to ensure robustness and presented through intuitive infographics and insight-led narratives.

Impact

The combined analytics and survey-led insights enabled the client to: Surface nuanced and data-backed insights, including engaging fun facts, on innerwear preferences across regions and customer segments in India Use customer education and insight-led storytelling to influence future buying behavior and strengthen brand engagement

Contact Us

Get in touch with us to explore how Benori can be your strategic partner.