Graypes IRIS search engine, answers to business and innovation related questions, with a textual layout similar to a business plan.

IRIS, originating from Information Retrieval on Innovation Search, is a proprietary search engine based on a proprietary NLP, proprietary LLM, and content rating algorithm.

Your queries on innovation or business topics produce a document with a business plan and market analysis layout.

Not a list of web pages, but a complete and well-structured document similar to a business plan and a market analysis.

"IRIS" is continuously improving and calibrating, aiming to become the de facto search engine for researches, innovators and entrepreneurs.

Over the last years, Graypes has established a versatile search tool for businesses by retrieving and presenting knowledge and information! Based on a set of proprietary Natural Language Processing (NLP), proprietary Large Language Models (LLM), and content rating algorithms, this engine can read your query, search on a variety of technology repositories, rate their content and provide you an answer similar to a business plan structure.

This AI-powered service, under our code name IRIS (Information Retrieval on Innovation Search), offers powerful copywriting tools for businesses and a versatile search engine providing results similar to a business plan structure.

IRIS searches only business and innovation related queries, being able to identify the content category of the query.

IRIS logic is partitioned into the next sections:

[1]. Indexing content into the next databases:
  ● proprietary technical documents repository with information on:
    ○ Information and Computer Technology
    ○ Energy
    ○ Biomedicine
  ● purchased technical documents repository with information on the above sectors

[2]. Query Search in the next pools:
  ● the entire web
  ● Graypes proprietary technical repository
  ● purchased technical repository

[3]. Page Rating according to the query search results.

[4]. Paragraph Rating according to the Page Rating results.

[5]. Paragraph Merging of the contextual related paragrpahs.