Drive innovation and
business growth with
Generative AI

Rapid advancements in Generative AI (GenAI) and Agentic AI are transforming business
operations, opportunities, and customer interactions. As a global leader in digital transformation,
we can help you harness the power of GenAI, accelerate ROI and unlock growth

Over 25 Years of Trusted Partnership with Leading Tech
Companies

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Generative AI Services

Strategic Consultation

Our specialists work with you to modernize and identify opportunities to leverage GenAI. We provide a technology roadmap and help establish appropriate governance frameworks.

Generative AI Development

We offer full-spectrum Generative AI development with expertise in retail and eCommerce, healthcare, automotive, financial services, and more. We integrate established GenAI tools or build custom Generative AI solutions including advanced recommendation systems, augmented search, and customer service chatbots.

RAG Pipeline Development

End-to-end RAG (Retrieval-Augmented-Generation) pipeline development ensures accurate, context-aware, real-time AI responses. We provide RAG services including data transformation, vector databases, and custom LLM-powered query interfaces.

LLM Prompt Engineering

Expert LLM prompt engineering to generate accurate and relevant responses from foundation models to help optimize business impact. Our experts can infuse domain knowledge to help your LLM better understand questions (user prompts) and provide appropriate responses (system prompts).

Commercial LLM Customization

We build, train, and optimize large language models (LLMs) for domain-specific accuracy and performance. Our team can customize common commercial LLMs including OpenAI, Claude, Llama and Gemini.

AWS Bedrock Application Development

We build enterprise-grade applications using AWS Bedrock, enabling businesses to leverage powerful foundation models for chatbots, personalized recommendations, content automation, and intelligent search. Our expertise ensures seamless integration, scalability, and AI-driven innovation without complex model training.

Tech stack

  • OpenAI

    OpenAI

  • Claude

    Claude

  • Llama

    Llama

  • Gemini

    Gemini

  • Amazon Bedrock

    Amazon Bedrock

  • AWS Kendra

    AWS Kendra

  • Azure AI Search

    Azure AI Search

  • GCP Vertex AI

    GCP Vertex AI

  • Amazon Bedrock

    Amazon Bedrock

  • Qdrant

    Qdrant

  • Pinecone

    Pinecone

  • Milvus

    Milvus

  • Langchain

    Langchain

  • Haystack

    Haystack

  • Semantic Kernel

    Semantic kernel

Generative AI and Agentic AI Use Cases

While Generative AI learns from data to create something new, Agentic AI takes action and makes decisions. Together, GenAI and Agentic AI are unleashing powerful opportunities to support efficiency and drive innovation in every sector

Generative AI and Agentic AI Use Cases

Retail & eCommerce

GenAI is a powerful tool for eCommerce, delivering real-time hyper-personalized experiences and optimized conversion. Key areas to integrate GenAI include product recommendations, pricing and catalog personalization, search, navigation, virtual assistants / chatbots, and localization.

Sales & Marketing

Powered by LLMs, AI can surface sales leads and recommend or take actions including booking meetings and personalized engagement. AI systems can also support advanced and dynamic audience segmentation, support multi-component A/B testing, surface deep insights about how users are interacting with your content, and create new content (text, images, video, metadata).

IT and Cybersecurity

As AI matures, IT teams are realizing new opportunities to manage complex processes, accelerate development, and combat cyber threats.

Operations

GenAI-powered business process automation and smart assistants / co-pilots automate repetitive tasks, analyse data, and support decision-making, helping increase efficiency and agility within an organization.

Digital Transformation

Migrating from legacy systems to modern systems can be costly and complex. Our experienced developers use Generative AI solutions to support tech stack re-platforming, including code generation and translation, code pattern modularization, code migration, and test case generation.

Customer Service

Unlike scripted chatbots, GenAI and Agentic AI systems are designed around natural conversations, leveraging LLMs and natural language processing (NLPs) to understand intent, independently solve problems, and learn from each interaction.

We Serve Customers Globally. They Love Us.

Frequently Asked Questions

Have questions about working with Net Solutions? Here are some of the most common questions we hear from our clients. If you don’t see what you’re looking for, feel free to reach out—we’re here to help.

What are the business benefits of Generative AI for enterprises?

Generative AI enables enterprises to automate repetitive tasks, produce content at scale, personalize customer experiences, and uncover actionable insights from data. At Net Solutions, we customize GenAI solutions to your business domain, helping reduce operational costs, boost efficiency, and unlock new revenue streams through intelligent automation.

Which industries benefit the most from Generative AI solutions?

Industries rich in unstructured data – such as retail, healthcare, finance, logistics, and media – gain substantial value from Generative AI. Whether it’s enhancing customer support with AI chatbots, automating documentation, or generating product content, our industry-specific solutions help drive measurable impact.

What is the cost of developing and implementing a Generative AI solution?

Custom Generative AI solutions can range from $100,000 to $500,000+, depending on the complexity of your use case, data requirements, integrations, and regulatory needs. Net Solutions offers flexible engagement models tailored to both growth-stage companies and large enterprises.

Can Net Solutions build a Generative AI solution tailored to my business?

Absolutely. We specialize in delivering custom Generative AI solutions built around your unique objectives, tech stack, and workflows. From AI-powered assistants to domain-specific language models and knowledge retrieval systems, we develop end-to-end solutions that align with your goals.

How long does it take to deploy a Generative AI solution for my business?

Deployment timelines vary based on project scope. A proof of concept (POC) or minimum viable product (MVP) can be launched in 6–10 weeks, while full-scale enterprise-grade solutions typically take 4–6 months. We follow an agile, phased approach to deliver quick wins while allowing room for iteration and scalability.

Can Generative AI solutions be integrated with our existing systems and workflows?

Yes. At Net Solutions, we specialize in building seamless, API-driven integrations with your current tech stack, whether it’s CRMs, ERPs, content management systems, data warehouses, or third-party platforms. We ensure that the Generative AI solution works in harmony with your existing workflows, minimizing disruption while maximizing adoption and ROI.

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