# greatwave.ai

> Build and manage multi-agent GenAI with trust and control


## Posts

- [Using a Multi-Agent Flow to Examine NDAs](https://greatwave.ai/using-a-multi-agent-flow-to-examine-ndasusing-a-multi-agent-flow-to-examine-ndas/)
- [What is a GenAI Agent and RAG](https://greatwave.ai/what-is-a-genai-agent-and-rag/)
- [Creating an Agent for Gov AI Docs](https://greatwave.ai/creating-an-agent-for-gov-ai-docs/)
- [GenAI can Release Human Potential](https://greatwave.ai/genai-can-release-human-potential/)
- [GenAI Adoption Cycle](https://greatwave.ai/genai-adoption-cycle/)
- [GenAI; Ethics and Value](https://greatwave.ai/genai-ethics-and-value/)
- [Using GenAI on NDAs](https://greatwave.ai/using-genai-on-ndas/)
- [Pointless Paperwork, GenAI and NDA’s](https://greatwave.ai/pointless-paperwork-genai-and-ndas/)
- [Accidental Compounding without an Orchestration Platform](https://greatwave.ai/accidental-compounding-without-an-orchestration-platform/)
- [There are Risks with Truly Agentic GenAI](https://greatwave.ai/there-are-risks-with-truly-agentic-genai/)
- [Don’t Hire the “AI Genius” just yet](https://greatwave.ai/dont-hire-the-ai-genius-just-yet/)
- [Bridging Skill Gaps for Ongoing AI Refinements](https://greatwave.ai/bridging-skill-gaps-for-ongoing-ai-refinements/): Your team might have the expertise to start an AI project, but what happens when it needs ongoing refinements? Without the right tools or support, maintaining and improving AI solutions can feel like a never-ending challenge. Great Wave AI provides more than just software; we’re your partner in AI success. Our platform simplifies maintenance and refinement, while our onboarding and managed services ensure your team gets the most out of the solution. With us, you can focus on delivering outcomes while we handle the technical heavy lifting.
- [Overcoming Resistance to AI Adoption](https://greatwave.ai/overcoming-resistance-to-ai-adoption/): Adopting AI in a compliance-heavy industry can feel like swimming upstream. Even when you’re satisfied with the results, stakeholders often ask, “How do we know it’s right?” Without clear answers, adoption stalls, and projects lose momentum. Our platform is built around trust and control. By providing quantifiable metrics—like factuality and adherence scores—and benchmarking AI outputs against human processes, we give you the tools to prove the technology’s value. From there, building stakeholder confidence becomes much easier.
- [Scaling AI Solutions Across Projects](https://greatwave.ai/scaling-ai-solutions-across-projects/): 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.
- [Demonstrating Transparency and Building Stakeholder Trust](https://greatwave.ai/demonstrating-transparency-and-building-stakeholder-trust/): 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.
- [Guardrails for Security and Accuracy](https://greatwave.ai/guardrails-for-security-and-accuracy/): Imagine this: you’re using AI to analyze medical studies, but a query about “dosage window” unexpectedly triggers a response about “broken windows.” This kind of output not only wastes time but can also erode confidence in the technology. Our platform incorporates robust guardrails to prevent such issues. Input and output checks ensure queries stay on topic, while low-temperature settings reduce the risk of creative reinterpretation. With Great Wave AI, your AI behaves predictably and reliably, adhering to strict parameters for every use case.
- [Limited Resources for AI Development](https://greatwave.ai/limited-resources-for-ai-development/): AI projects are exciting, but they’re often a sideline to your team’s core responsibilities. Let’s say your team has an AI expert managing a pipeline while also juggling other strategic initiatives. Progress slows, and the solution never quite reaches its full potential. We’ve designed Great Wave AI to remove these bottlenecks. Our platform automates much of the technical setup, allowing you to build and iterate AI solutions quickly. Whether you’re summarizing documents or generating insights, our tools let you focus on delivering value without being bogged down by development hurdles.
- [Meeting Stringent Regulatory and Compliance Standards](https://greatwave.ai/meeting-stringent-regulatory-and-compliance-standards/): 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.
- [Managing Complex RAG Pipelines](https://greatwave.ai/managing-complex-rag-pipelines/): 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  [...]
- [ Avoiding Data Contamination and Knowledge Overlap](https://greatwave.ai/avoiding-data-contamination-and-knowledge-overlap/): 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  [...]
- [Ensuring Accuracy and Trust in AI Responses](https://greatwave.ai/ensuring-accuracy-and-trust-in-ai-responses/): 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  [...]
- [Authentic Legal launched using a Great Wave AI multi-agent workflow](https://greatwave.ai/authentic-legal-launched-using-a-great-wave-ai-multi-agent-workflow/)

## Pages

- [Transform Carers Assessments With AI](https://greatwave.ai/transform-carers-assessments-with-ai/)
- [Insight](https://greatwave.ai/insight/)
- [Bid Writing Agent](https://greatwave.ai/bid-writing-agent/)
- [People/HR Policy Help Agent](https://greatwave.ai/people-hr-policy-help-agent/)
- [Technical Guidance Agent](https://greatwave.ai/technical-guidance-agent/)
- [Call Centre Agent](https://greatwave.ai/call-centre-agent/)
- [NDA Agent](https://greatwave.ai/nda-agent/)
- [Contract Management Agent](https://greatwave.ai/contract-management-agent/)
- [Government Policy Agent](https://greatwave.ai/government-policy-agent/)
- [Case Work Agent](https://greatwave.ai/case-work-agent/)
- [Challenges We Solve](https://greatwave.ai/challenges-we-solve/)
- [Build for Security & Compliance](https://greatwave.ai/platform/build-for-security-compliance/)
- [Build for Control](https://greatwave.ai/platform/build-for-control/)
- [Build for Usability](https://greatwave.ai/platform/build-for-useability/)
- [Build for Trust](https://greatwave.ai/platform/build-for-trust/)
- [Build for Quality](https://greatwave.ai/platform/build-for-quality/)
- [Trusted GenAI Guide](https://greatwave.ai/trusted-gen-ai-guide/)
- [Thank You](https://greatwave.ai/thank-you/)
- [Home](https://greatwave.ai/)
- [Data Processing Agreement](https://greatwave.ai/data-processing-agreement/)
- [Terms of Service](https://greatwave.ai/terms-of-service/)
- [Enablement - Model Development](https://greatwave.ai/platform/enablement-model-development/)
- [Enablement - DevOps](https://greatwave.ai/platform/enablement-devops/)
- [Enablement - Architecture](https://greatwave.ai/platform/enablement-architecture/)
- [Enablement - Custom LLM Development](https://greatwave.ai/platform/enablement-custom-llm-development/)
- [Enablement - LLM Ops](https://greatwave.ai/platform/enablement-llm-ops/)
- [Enablement - Onboarding](https://greatwave.ai/platform/enablement-onboarding/)
- [Enablement - Training](https://greatwave.ai/platform/enablement-training/)
- [LLM Security](https://greatwave.ai/platform/llm-security/)
- [LLM Infrastructure](https://greatwave.ai/platform/llm-infrastructure/)
- [LLM Integrations](https://greatwave.ai/platform/llm-integrations/)
- [LLM Frameworks](https://greatwave.ai/platform/llm-frameworks/)
- [LLM Agnostic](https://greatwave.ai/platform/llm-agnostic/)
- [LLM Guardrails](https://greatwave.ai/platform/llm-guardrails/)
- [Multi-agent LLM](https://greatwave.ai/platform/multi-agent-llm/)
- [LLM RAG](https://greatwave.ai/platform/llm-rag/)
- [LLM Management Platforms (LLM-MPs)](https://greatwave.ai/platform/llm-management-platforms/)
- [AI Management Platforms (AI-MPs)](https://greatwave.ai/platform/ai-management-platforms/)
- [LLM Document Summarisation](https://greatwave.ai/platform/llm-document-summarisation/)
- [LLM Document Search](https://greatwave.ai/platform/llm-document-search/)
- [LLM Document Retrieval](https://greatwave.ai/platform/llm-document-retrieval/)
- [RAG as a Service](https://greatwave.ai/platform/rag-as-a-service/)
- [LLM Studio](https://greatwave.ai/platform/llm-studio/)
- [LLM Observability](https://greatwave.ai/platform/llm-observability/)
- [LLM Evaluation Tool](https://greatwave.ai/platform/llm-evaluation-tool/)
- [LLM Grounding](https://greatwave.ai/platform/llm-grounding/)
- [LLM Monitoring](https://greatwave.ai/platform/llm-monitoring/)
- [LLM Orchestration](https://greatwave.ai/platform/llm-orchestration/)
- [Case Studies](https://greatwave.ai/case-studies/)
- [The Team](https://greatwave.ai/the-team/)
- [electiondemo](https://greatwave.ai/electiondemo/)
- [Slavery & Trafficking Statement](https://greatwave.ai/slavery-trafficking-statement/)
- [Resources](https://greatwave.ai/resources/)
- [The Platform](https://greatwave.ai/platform/)
- [Privacy Policy](https://greatwave.ai/privacy-policy/)


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