In regulated industries, even a minor deviation from source data can have significant consequences. Imagine this scenario: a team relies on an AI model to summarize clinical research. The output appears accurate at first glance, but subtle inaccuracies—like paraphrasing that misrepresents data—are uncovered during expert review. For industries like healthcare or finance, such errors are unacceptable.

At Great Wave AI, we tackle this challenge by building specialized “agentic architectures.” Instead of a single AI model handling every task, we break the process into smaller, focused agents. One agent retrieves data, another formats it, and another validates the output. This modular approach ensures AI responses align strictly with the provided source material, instilling confidence in the technology and maintaining compliance.

Building AI solutions often feels like running a marathon. Let’s say your team is working on three different use cases: summarizing research, creating plain language documents, and analyzing conference trends. Each project requires its own pipeline, tailored to specific datasets and objectives. Without the right tools, this process can be time-consuming and overwhelming.

Great Wave AI simplifies this complexity. Our drag-and-drop interface enables you to quickly create RAG (Retrieval-Augmented Generation) pipelines for each use case. Need a model that pulls from a specific dataset? No problem. Want to adjust how data is retrieved or structured? Easy. By automating the heavy lifting, we let your team focus on outcomes rather than infrastructure.

Have you ever asked an AI a simple question only to receive an answer that feels… off? In many cases, this happens because the AI mixes its pre-trained general knowledge with the specific data you’ve provided. For example, if an AI is analyzing proprietary medical studies, it might inadvertently include unrelated information it “knows” from its training.

Our solution? We employ rigorous backend prompts and evaluation metrics to ensure AI outputs are derived solely from the data you supply. By decoupling the AI’s pre-trained knowledge from your proprietary content, we eliminate the risk of “contaminated” responses. Whether you’re analyzing clinical studies, summarizing legal documents, or extracting trends, our approach guarantees AI operates only within the defined dataset.

Even if your AI model works well, stakeholders often demand proof of reliability. How can you demonstrate that the AI consistently produces accurate outputs? Without clear metrics, it’s hard to build confidence in AI solutions.

Great Wave AI offers detailed observability tools, logging every query, response, and retrieved chunk. Our evaluation metrics measure adherence and factuality, giving you hard data to validate AI performance. Whether you need to meet internal standards or comply with external regulations, our platform provides the transparency you need to earn trust.

When dealing with sensitive data, trust is paramount. Some organizations flatly prohibit AI solutions due to fears about data leakage or insufficient security. This presents a major hurdle for companies trying to innovate while adhering to strict regulatory requirements.

Great Wave AI offers deployment models designed to address even the most stringent security needs. Whether it’s a SaaS solution hosted in our secure environment, a client-hosted model for added control, or a fully air-gapped on-premise system, we tailor our approach to your compliance requirements. With our platform, you can innovate confidently without compromising on data security.

Starting with a single AI use case is manageable, but what happens when you need to scale? For example, you may want to use AI to summarize medical studies, extract competitive trends, and create plain language documents. Building separate pipelines for each task can quickly become overwhelming.

With Great Wave AI, scaling is seamless. Our reusable architecture allows you to create modular agents tailored to specific tasks, which can then be combined or expanded as needed. Whether you’re working on one project or dozens, our platform grows with you, enabling consistent, scalable solutions.