Question 1

What can generative AI actually do for my business?

Accepted Answer

The most immediately useful applications are: answering customer questions from your documentation, generating first drafts of content your team edits, extracting structured data from unstructured documents, building internal knowledge assistants, and automating text-heavy manual processes. We focus on use cases with measurable ROI, not demos that look impressive but do not change anything.

Question 2

Which AI models do you work with?

Accepted Answer

We work with OpenAI GPT-4o, GPT-4 Turbo, Google Gemini Pro and Ultra, Anthropic Claude 3.5, Meta Llama and Mistral. The choice depends on your use case: GPT-4o is strong for general tasks, Claude is excellent for document analysis, Llama and Mistral are good for on-premise deployments where data cannot leave your servers.

Question 3

What is retrieval-augmented generation (RAG) and why does it matter?

Accepted Answer

RAG is a technique that lets you give an AI model access to your private documents at query time, so it answers based on your actual data rather than its general training. This solves the hallucination problem for domain-specific questions because the answer comes from your documents, not from the model's memory. It is the right approach for chatbots, knowledge assistants and document Q&A.

Question 4

How do you control costs when using AI APIs?

Accepted Answer

AI API costs depend on token usage. We implement token optimization in prompts, response streaming, intelligent caching of repeated queries, rate limiting, and model selection per use case (using cheaper models for simple tasks, premium models only for complex reasoning). We also build cost monitoring dashboards so you can see usage and costs in real time.

Question 5

Is my data sent to OpenAI or Google for training?

Accepted Answer

When using the API (not the consumer product), OpenAI and Google do not use your data for training by default. Enterprise API agreements include explicit data privacy terms. For projects where data cannot leave your infrastructure, we build using open-source models like Llama deployed on your own servers.

Question 6

Can AI be integrated into my existing product without rewriting it?

Accepted Answer

Yes. We integrate AI as API calls from your existing backend. Your users interact with AI through your existing interface without knowing it is there. The integration points are identified during discovery: where does AI replace manual work, where does it assist users and where does it operate automatically in the background.

Question 7

How do you prevent the AI from giving wrong answers?

Accepted Answer

No AI system is 100% accurate. We implement guardrails: system prompts that define scope, confidence thresholds below which the system says "I do not know" rather than guessing, human-in-the-loop design for high-stakes decisions, and monitoring that flags unusual outputs for review. For RAG systems, answers are grounded in your documents, which significantly reduces hallucination.

Question 8

Can the AI system support Hindi and regional languages?

Accepted Answer

Yes. GPT-4o, Gemini and Claude all handle Hindi effectively. For regional languages like Marathi, Tamil, Telugu and Bengali, the quality varies by model. We test with your specific language requirements during discovery and choose the model that performs best for your target audience.

Generative AI Development Services in India

What We Build Under Generative AI Development

RAG Systems

Content Generation

AI-Powered Search

Document Processing

Developer Tools

Multi-Language AI

How We Deliver Generative AI Development Projects

Discovery Call

Strategy and Scoping

Design and Prototype

Development and QA

Launch and Handover

Technologies We Use

Recent Generative AI Development Projects

BTCC CRM — Team and Project Management

TGI Telemed — Healthcare Management System

SajPe — UPI Bill Payment App

Industries That Use Our Generative AI Development Expertise

Why Businesses Choose Matply for Generative AI Development

Strategy Before Code

Senior Engineers Only

Honest Timelines

3-Month Support Free

What Does Generative AI Development Cost?

Questions About Generative AI Development

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