Frequently asked questions
Everything you need to know about AXYS Platform
AI, LLM, Prompting, and Search
Data Management and API Features
General AXYS Platform Overview
Usability, Support, and Operations
AI, LLM, Prompting, and Search
Yes, AXYS allows you to test prompts live against your structured data directly within the platform. You can quickly see how different prompts perform, review AI-generated answers, and refine your prompts in real time—all through an intuitive, no-code interface. This helps you optimize prompt quality, accuracy, and relevance before deploying them for wider use.
AXYS provides a no-code, guided approach to AI prompting and model integration. The platform analyzes your connected data schemas and suggests optimized prompts for more accurate AI results. You can fine-tune prompts and model interactions with intuitive controls—no engineering needed. AXYS even uses its own AI to recommend better prompts and streamline model integration, making it easy to leverage the full power of OpenAI and other LLMs for your business workflows.
Yes, AXYS actively helps you build better prompts for AI-based questions. The platform analyzes your connected data, understands the schema, and suggests optimized prompts to improve accuracy and relevance. You can also use AXYS’s no-code interface to test and refine prompts, and leverage built-in AI assistance for additional recommendations, making it easy to get high-quality results from OpenAI and other LLMs.
Data Management and API Features
Yes, AXYS gives you full control over which fields and data are indexed from each connected source. Using the no-code interface, you can select or exclude specific fields, tables, or document sections both during initial setup and at any time afterward. You can easily add or remove fields—including new fields that appear in your sources—without writing a single line of code or redeploying the backend. This flexibility lets you optimize data storage, maintain privacy, and keep your indexing perfectly aligned with your business and compliance needs.
AXYS automatically detects and harmonizes data schemas from all your connected sources, standardizing field names, data types, and relationships for unified analysis. You can further customize schema mapping with intelligent or manual tagging, overwrite field names, and create relationships between sources—all through a no-code interface. AXYS also supports advanced data transformation, letting you condition, enrich, and adapt data to fit your business needs. This flexibility ensures your structured and unstructured data is always ready for analytics, AI, and workflow automation.
General AXYS Platform Overview
Not at all. While AXYS is an enterprise-grade platform, it is purposefully designed to serve organizations of any size, including small and medium businesses. AXYS’s no-code, user-friendly interface makes powerful data orchestration and AI capabilities accessible without large technical teams. The platform is ideal for companies that have multiple data sources or growing integration needs but face limited resources, tight deadlines, or budget constraints. AXYS eliminates complexity and accelerates time to value, so even smaller teams can unify, automate, and analyze their business data quickly and affordably.
Usability, Support, and Operations
No, you do not need backend engineers, data engineers, or DevOps staff to operate AXYS. The platform is fully no-code and designed for easy use by business and non-technical users. All setup, integration, data management, and API generation are managed through intuitive interfaces, so you can launch and run data workflows without technical expertise. However, if you wish to build a custom business dashboard or interface on top of AXYS, you may choose to involve a front-end engineer to develop and style the user experience using AXYS APIs. Additionally, a prompt engineer can be helpful if your use case involves building and refining complex AI prompts, but neither role is required for core AXYS operation.