Our experience in implementing OpenAI ChatGPT, Microsoft Copilot, and AWS Bedrock has taught us how to create applications that work on an organization's closed data. This data is not forwarded, and the machine learning process is limited to the customer's infrastructure. Thanks to this, we are able to ensure compliance with regulations and a company's internal policies.
We can harness OpenAI, Microsoft Copilot, or AWS services to analyze existing content in text, image, audio, and video form and present it in a helpful and engaging way for the user.
We implement generative AI to analyze existing content—texts, images, audio, and videos. We feed artificial intelligence with data indicated by the customer to optimize processes of multi-tasking, summarizing, classifying, and more.
Retrieval-augmented generation (RAG) is a technology that combines artificial intelligence with traditional information retrieval systems (such as databases). As a result, we use the advanced capabilities of generative large language models (LLM) to analyze closed data sets, which include texts, images, audio (podcasts), and videos.
Web scraping is a process of using bots to extract content and data from websites and then replicate and save that data to a database elsewhere.
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