Generative AI development is the practice of building applications powered by large language models (LLMs) — such as chatbots, copilots, autonomous AI agents and retrieval-augmented (RAG) assistants — that understand language, reason over your data and automate work. iMagic Solutions, an AI development company in India, designs, builds and deploys production-grade generative AI on OpenAI, Anthropic Claude and AWS Bedrock.
Generative AI has moved from impressive demos to mission-critical systems that businesses depend on every day. The hard part is no longer calling a model — it is building something accurate, secure and reliable enough for production. That is where iMagic Solutions focuses: turning AI potential into software that delivers measurable ROI.
As an AI development company, we are model-agnostic and outcome-driven. We choose the right approach for your problem — whether that is a fine-tuned model, a retrieval-augmented (RAG) assistant grounded in your private data, or an autonomous agent that completes multi-step tasks. Because the same team also runs your AWS cloud, your AI ships on infrastructure that is secure, scalable and cost-aware from day one.
Most engagements begin with a focused proof-of-concept that proves value in weeks, so you can validate ROI before committing to a full build. From there we engineer the production system with guardrails, evaluation and monitoring so quality stays high as you scale.
We assess your data and workflows, identify high-ROI use cases, and define a clear, compliant roadmap before any code is written.
Autonomous agents that execute multi-step tasks — research, customer support, data entry and internal-tool automation — with human-in-the-loop controls.
Chat-with-your-documents systems grounded in your private data using vector search, so answers are accurate and citable.
Add smart search, summarization, drafting and recommendations to apps you already run, via OpenAI, Claude or AWS Bedrock APIs.
24/7 support and sales assistants with natural language understanding, integrated with your CRM and helpdesk.
Secure, scalable deployment with monitoring, evaluation and cost controls so your AI stays reliable in production.
We build AI that holds up in the real world — with evaluation, guardrails and monitoring, not just a flashy prototype.
OpenAI, Anthropic Claude, AWS Bedrock and open models — we pick the best fit for your accuracy, cost and privacy needs.
Enterprise API tiers that don't train on your data, RAG that keeps documents in your control, and deployment inside your own AWS account.
Certified AWS architects mean your AI runs on infrastructure that's reliable, scalable and cost-optimised.
A few of the things we deliver under ai & generative ai development:
Map use cases, data sources and success metrics.
Ship a working proof-of-concept in weeks, not months.
Engineer the production system with guardrails and evaluation.
Deploy, monitor, optimise cost and iterate.
Yes. iMagic Solutions is an AI development company based in India, serving clients across India and the USA. We build production-grade generative AI — chatbots, copilots, RAG assistants and AI agents — on OpenAI, Claude and AWS Bedrock.
Generative AI development is building software powered by large language models — chatbots, copilots, RAG assistants and AI agents — that generate text, reason over data and automate tasks. iMagic builds these on OpenAI, Claude and AWS Bedrock.
Yes. AI integration is one of our most popular services. We add features like smart search, summarization, drafting and recommendations to your current web or mobile app using LLM APIs — typically without rebuilding it.
Most proofs-of-concept take two to four weeks. The goal is to validate a single high-value use case with real data so you can measure ROI before committing to a full production build.
It depends on the task. We're model-agnostic and benchmark options against your accuracy, latency, cost and privacy requirements — sometimes combining models. We recommend the best fit rather than defaulting to one vendor.
Most clients start with a fixed-scope proof-of-concept (a few weeks) to validate ROI before committing to a full build. We scope pricing after a free discovery call based on your use case and data.
Yes. We use enterprise API tiers that do not train on your data, deploy RAG so your documents stay in your control, and can run within your own AWS account for full data residency.
Cloud architecture, migration, serverless, CI/CD and cost optimisation by AWS-certified architects.
Custom web apps and full SaaS products on React, Next.js and Node.js — MVP to scale.
Native and cross-platform iOS & Android apps with React Native and Flutter.
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