Neuralith™
AI-powered platform for streamlined research document processing in R&D.
Executive Summary
Neuralith™, offered as part of the Iris.ai Researcher Workspace, is an AI-powered tool suite designed to significantly streamline and accelerate research document processing. It caters specifically to R&D-heavy industries such as chemistry, pharmaceuticals, MedTech, material science, and biotech, as well as academic institutions like university libraries. The platform empowers researchers to efficiently manage extensive datasets and conduct comprehensive literature reviews. The core functionality of Neuralith™ within the Researcher Workspace involves advanced AI retrieval and evaluation capabilities. It simplifies data ingestion, orchestration, and evaluation through tailored workflows, enabling users to effectively search millions of documents to identify and process highly relevant information. By integrating advanced document retrieval with large language models, Neuralith™ aims to transform the future of innovation by providing secure and powerful solutions for research and development.
Use Cases
- Streamlining literature reviews for academic and industrial research.
- Efficiently searching and filtering large datasets of research documents.
- Accelerating research and development processes in R&D-heavy industries.
- Managing and organizing extensive scientific datasets.
Features
Visibility
- Streamlined Search Interface: Provides an intuitive interface for efficient searching and filtering of research documents.
- Dataset Management: Tools for managing and organizing extensive collections of research data.
Intelligence
- AI-Powered Document Retrieval: Utilizes AI to accurately retrieve relevant documents from vast datasets.
- AI Evaluation Platform: Tools for evaluating the quality and relevance of retrieved information.
- LLM Integration: Seamlessly integrates with Large Language Models for enhanced context and generation.
Support
- Help Center: Access to documentation and guides for product usage.
- Direct Support: Contact options for assistance with the platform.
- Webinars: Educational sessions and demonstrations for users.
Technical Specifications
- Architecture
- The platform's architecture involves AI retrieval, evaluation, and integration with Large Language Models (LLMs), likely utilizing Retrieval Augmented Generation (RAG) principles to deploy secure, high-quality Agentic AI.
- Deployment
- SaaS
- API Available
- Yes
AI/ML Stack
- Large Language Models
- Retrieval Augmented Generation (RAG)
- Agentic AI
Integrations
- Google Drive
- Dropbox
- Microsoft SharePoint
Pricing
- Model
- Subscription-based
- Starting Price
- Contact sales
- Target Customer
- Mid-Market,Enterprise
About Iris.ai Researcher Workspace
Iris.ai is a Norwegian company specializing in AI-driven tools for scientific research and enterprise R&D. It offers an AI platform designed to streamline literature reviews, data extraction, and document summarization, focusing on agentic RAG AI workflows to enhance factuality and efficiency in research and development. Founded in 2015, Iris.ai collaborates with universities and corporate clients to foster open science and innovation.