Generative AI development services
& expertise

Itransition provides comprehensive GenAI consulting and GenAI development services, handling the entire software lifecycle, from business analysis, model pretraining, and prompt engineering to generative AI integration and post-deployment solution upgrade and maintenance. We build a wide range of solutions, including copilots, knowledge assistants, and task automation tools, equipping them with robust security measures and guardrails to prevent hallucinations. As part of the generative AI solutions development project, we also improve AI model accuracy with retrieval-augmented generation (RAG) and hyperparameter tuning, as well as perform continuous solution testing to validate its quality before deployment to production.

The budget for a GenAI software development project can range remarkably based on functional and non-functional requirements (including expected AI model accuracy), architectural complexity, availability of out-of-the-box algorithms and foundation models, data management costs, and computational power needed for generative AI model development.

The cost of an entry-level workflow automation solution using low-code AI platforms starts at approximately $5,000. For custom-built Al solutions targeting one or two complex workflows with simple integrations, budgets typically range from $30,000 to $40,000. Enterprise-scale deployments, in turn, are priced based on your unique requirements. Get in touch with our team of AI consultants for a more accurate cost estimate based on your specific needs.

Along with generative artificial intelligence, we use other technologies that fall under the AI umbrella to deliver AI-powered software solutions tailored to your specific business needs, including:

• Machine learning
  including deep learning and neural networks, to build innovative solutions that autonomously learn how to complete complex tasks for business automation, data analysis, and forecasting, improving their accuracy through experience.

• Natural language processing (NLP)
  to develop AI software that can extract valuable insights from textual or audio content and mimic human communication for seamless user interactions.
• Computer vision
  to deliver AI tools that can capture and interpret visual data, deriving insights for better decision-making or triggering specific actions for business process automation.

Consider the following factors to select a software development company for your GenAI project:

• Rich project portfolio
  proving the company's experience with GenAI and, possibly, your industry
• Partnerships and certifications
  from leading AI service providers like Microsoft and AWS
• Suitable pricing model
  including fixed project cost and time & materials
• Positive customer feedback
  typically shared on platforms like Clutch

During our GenAI application development projects, we typically rely on a combination of tools, platforms, and services, which can include:

• Programming languages such as Python and JavaScript
• Deep learning frameworks like PyTorch, TensorFlow, and Transformers
• Generative AI SaaS platforms like Azure OpenAI and Amazon Bedrock
• NLP technologies, including large language models (LLMs) like GPT-4-class, Mistral, DeepSeek models, Langchain, and Llama
• Cloud platforms like AWS, Microsoft Azure, Google Cloud (GCP), and Hugging Face
• Text-to-image solutions like DALL-E, Stable Diffusion, and Midjourney

Apart from these specific tools, we also utilize generative adversarial networks (GANs) and variational autoencoders (VAEs) to develop AI solutions capable of data synthesis and image, video, and text generation.