Generative AI Development Services That Think, Create, and Scale

Generative AI development services involve building, customizing, and integrating AI solutions that can generate and process text, images, code, and other business content. These solutions can be powered by large language models (LLMs), foundation models, and other generative AI technologies.

As a leading GenAI development company we offer:

• Model Fine-Tuning: Customizing existing AI models with domain-specific or proprietary data for more relevant outputs.
• RAG Development: Connecting AI models with private knowledge bases, documents, and databases to provide context-aware and reliable responses.
• AI Agent Development: Building AI agents that can perform multi-step tasks, interact with business systems, and automate workflows.
• Generative AI Integration: Integrating AI capabilities such as copilots, intelligent search, chatbots, and content generation into existing applications, CRM, ERP, and enterprise platforms.
• AI Guardrails & Optimization: Implementing controls for data security, output validation, hallucination reduction, model monitoring, and AI usage costs.

The development timeline typically ranges from 6 weeks to 6 months or more, depending on the solution’s complexity, data requirements, and level of customization.

Basic AI application: 6–10 weeks for API-based solutions using existing models.

RAG-based solution: 10–16 weeks, including knowledge-base integration, retrieval pipelines, testing, and optimization.

Custom AI platform or AI agents: 4–6+ months for complex workflows, multiple integrations, model customization, and enterprise requirements.

We define the development roadmap after evaluating the use case, data readiness, model requirements, integrations, security, and deployment environment.

The development timeline depends on the complexity of the solution, data requirements, model customization, integrations, and testing needs. A basic Generative AI application may take 6–10 weeks, while more complex solutions involving RAG, custom model fine-tuning, AI agents, or multiple enterprise integrations can take several months.

Do you want a precise estimate for your Gen AI solutions? 

Contact us now.

Security is central to our process. We adhere to GDPR, HIPAA, and ISO guidelines, implement encryption and anonymization, and customize compliance frameworks to meet industry-specific regulations.

The cost of Generative AI platform development typically ranges from $30,000 to $500,000+, depending on the solution’s complexity and level of customization. A basic AI application using existing models and APIs may cost around 30000-80000 while enterprise solutions involving RAG, model fine-tuning, AI agents, multiple integrations, and advanced security can range from $100,000 to $500,000+.

Key factors affecting the cost include:

• AI model and technology selection
• Custom model training or fine-tuning
• RAG and proprietary data integration
• Number of APIs and enterprise systems involved
• AI agent complexity and workflow automation
• Security, compliance, and infrastructure requirements
• Ongoing model usage, monitoring, and maintenance

Talentelgia can assess your use case, data, existing technology stack, and integration requirements to provide a project-specific cost estimate.

To build a successful Generative AI solution, you need high-quality, relevant, and well-structured data that matches the intended use case. The data should be properly cleaned and prepared to minimize errors, bias, and inconsistencies and improve the model’s performance.

RAG is a way to connect AI to your data. Instead of guessing, the model pulls in real information from your documents and systems. This helps it give more accurate, relevant, and useful answers.

Talentelgia has 14+ years of AI development expertise, backed by a team of certified professionals and experienced AI developers. We use technologies such as LLMs, RAG, AI agents, model fine-tuning, and Generative AI APIs to build customized AI solutions that address specific business needs. Our experience enables us to deliver secure, scalable, and practical Generative AI solutions from development to deployment.