6-Week Generative AI Solutions Prototyping on Azure

With a comprehensive integration of the Azure OpenAI Services and Large Language Models, our team ensures compliance, security, responsible AI, and the best cloud application practices to deliver the best solution.

When it comes to developing AI systems - prototyping is key. It allows the team to evaluate the data quality, test the model's ability to solve the problem, and determine which generative AI approach best suits your specific use case. The insights gained during the prototyping stage are critical in designing an effective and efficient AI system in production.

At DataArt, we understand the importance of generative AI prototyping. We have developed dozens of PoCs with LLMs on Azure – ChatBots with RAG, Document Processing and Generation, Smart Search, and Coding assistance solutions. Our development approach enables our team to deliver results faster within a fixed timeframe, ensuring a streamlined and efficient development process.

The 6-week generative AI solutions prototyping on Azure follows a structured sequence:

1. Use Case Identification (1 week): Our team will work closely with you to define your business objectives and identify the AI use case that aligns with your goals.
2. Experimentation and Development (4 weeks): The DataArt team will explore the data, experiment with different models and enhance the results, build the baseline model integration, and create a simple API or UI for testing the approach.
3. Deployment and Planning (1 week): The final phase focuses on deploying the model on your Azure cloud and planning the next improvement phases, like fine-tuning and scaling.

DataArt's team leverages the power of the Azure Machine Learning stack, including Azure AI, Azure Cognitive Services, Azure OpenAI, and other Large Language Models, like Llama 2, to build robust and cutting-edge generative AI solutions.

How It Works:

After applying for this offer, our AI and ML expert team will contact you to discuss your project needs and requirements. After the intro call, the DataArt team will create a proposal with the time, team, and budget. As soon as the paperwork is signed - the project team will start the generative AI development process, providing the client with regular updates and building the agreed deliverables.

Price:

$20,000 - $40,000, depending on the project's complexity and the scope of work.

By choosing DataArt for your generative AI solutions prototyping on Azure, you can expect the following key business outcomes:

• Accelerating generative AI solutions development and integration
• De-risking and securing the development within a 6-week timeframe
• Improved main business metrics for the selected GenAI use case
• Private and secure way to use generative AI models for the organization
• A clear vision of the production solution

Deliverables:

• Detailed project plan, solution overview, team structure, and budget
• A functioning generative AI application with a private Azure OpenAI model
• Secure application deployment in the Azure cloud environment of your organization
• Complete project documentation, including architecture diagrams and materials
• AI solution design and production integration planning: We will provide a detailed description and presentation of the solution design, including the cloud cost calculation
• Potential GenAI use cases overview for your organization

Throughout the process, we adhere to Microsoft's Responsible AI practices and principles, ensuring the AI system we develop is applicable for unbiased production usage.

Why Choose DataArt?

Founded in 1997, DataArt is a global software engineering firm that has continually evolved to become the trusted technology partner of market leaders. Led by our people-first principle, our world-class team designs and engineers data-driven, cloud-native solutions to create immediate and enduring business value.

Our AI Lab team of experts combines industry sector knowledge and ongoing AI technology research to help clients create custom software and AI solutions that improve their operations, increase revenue, and enhance customer satisfaction, ensuring they stay on the leading edge.