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We deploy cutting-edge generative AI solutions for medium-sized and large businesses. Our MLOps team of experts is dedicated to revolutionizing industries by creating tailor-made implementations based on top large language models (LLMs) and retrieval augmented generation (RAG). We specialize in developing sophisticated AI agents and robust knowledge bases. Our mission is to cut operational costs, decrease working hours for repetitive tasks, enhance productivity, streamline processes, and deliver innovative solutions with advanced AI/ML technologies such as AI process automation, internally tailored chatbots, business intelligence based on predictive analysis and big data, image recognition, and advanced machine learning. We continuously research, develop, and refine our AI solutions to meet the evolving needs of our clients across various sectors and implement the best AI infrastructure for them.
We understand that in today’s business, data security is everything. When you choose NoExcel.AI, you are partnering with a trusted provider. Our AI systems adhere to the strictest security protocols and regulatory standards, ensuring your data remains protected at all times. Whether you need to automate tasks, optimize decision-making processes, or enhance customer experiences, our intelligent systems are designed with security and compliance in mind to drive your success.
Our team consists of elite professionals who have successfully executed the largest and most complex AI/ML projects for companies like Novartis, Bank of China, Deutsche Telekom, and L’Oréal. With their expertise in deep learning, natural language processing (NLP), big data analytics, cloud computing, and leveraging large language models (LLP), we provide unique solutions that deliver real results.
As with most things in IT, the answer is: it depends. Several key factors influence the price, including:
We can provide a more precise price range after an initial consultation.
You pay for the implementation and then a small monthly fee for maintenance, support (e.g., updates to your knowledge base), and the computing power needed to run it (the fee varies depending on whether we use AWS, Google Cloud, or Azure).
Yes. If you are not satisfied with the results, you will not be charged. At the beginning of the project, we prepare a feasibility test using small data samples provided by you (you can use documents with fake data if you prefer, which won’t affect the process). We also sign an NDA to protect your data. So, even in the worst-case scenario, if we don’t implement any AI into your business, you will still benefit from a free audit and consulting from the top 1% in the industry.
We want to build long-term relationships, so you will be supported as long as you choose to cooperate with us.
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