Grooper's AI Solutions
Leverage the Latest AI like LLMs, AI Search, AI Assistants, and More
We at BIS have long been proponents of AI. It’s one of the reasons we broke off from the crowd to build Grooper.
But we know that AI is scary for a lot of organizations. That’s why we’ve gone to great lengths to ensure AI is accessible, secure and inspectable. Most importantly, we’ve created an AI solution that is easy to use and deploy for your organization.
Large Language Models (LLMs)
Grooper was the first to the market with an LLM integration. We’ve used LLMs to enhance Grooper in many ways that m
ake it easier to set up and get improved data extraction.
Here are just several ways we have integrated LLMs into Grooper:
Ask AI:
This was Grooper’s first extractor using an LLM. Simply choose your model, pass a prompt, and get results.
AI Extract Fill Method:
This is our newest extraction with LLM innovation in Grooper. Simply turn on the extraction method and Grooper uses information from the data model, tables, fields, etc., to automatically build prompts. The result? You get multiple data fields back from a simple set up.
AI Data Model Creation:
This is a new way to import a schema with AI. Simply define your data model with natural language. The AI then builds objects in Grooper required for extraction.
AI Generator:
Create output formats like HTML reports with natural language.
AI Classification & Separation:
Leverage large language model embeddings to understand documents in relation to classification and separation.
AI Helpers:
Grooper is leveraging LLMs to help designers build models faster. You can leverage an LLM to create regular expressions, SQL queries, or other search queries as needed. This method greatly accelerates developing a solution in Grooper.
AI Search
Grooper now leverages vector indexing for your data. This new feature empowers you to create vector indexed databases to search for documents and data based on meaning. This is a big improvement over 
traditional methods such as key-value pairs or fuzzy text searching.
Create Vector Indexes from Your Data
You can use this feature to import existing documents from your repositories directly into Grooper and automatically create vector indexes.
- Find document based on meaning – not just keywords or full text
- Rapidly find similar documents
- Act on similar documents to create batches, PDFs, summaries, etc.
- Give meaning to your existing document repository
RAG-Enabled AI Assistants
This is a vast leap forward from a simple chatbot. Grooper’s RAG-enabled AI assistants have access to vector indexed data an
d any other data you expose to them, such as databases, web sites, etc.
So the responses from an AI assistant will adhere to your company policies and are influenced by your data. Essentially, your AI assistants become experts on the data you give them.
Knowledgeable Assistants for Any Use Case, Quickly and Easily
If enabled, AI assistants can access multiple data resources to empower specific assistants for a variety of use cases, regardless of industry.
For example, would you like a super-powered customer service chatbot? How about a bot dedicated to answering your employee’s questions about HR policies or practices?
But there are many industry-specific examples. If you are in financial services, how about an AI assistant that can accelerate and give greater insights to collection efforts?
Link Internal or External Resources Directly to Bots
Leveraging industry standard tools, Grooper’s AI assistants can be deployed outside of Grooper. So your internal or external data can be linked to standard messaging apps like Microsoft Teams, Slack, web sites, etc.