Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • SciSure Reviews & Ratings
    311 Ratings
    Company Website
  • kama.ai Reviews & Ratings
    9 Ratings
  • Nutrient SDK Reviews & Ratings
    113 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    41 Ratings
    Company Website
  • Bright Data Reviews & Ratings
    1,430 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    443 Ratings
    Company Website
  • Oxylabs Reviews & Ratings
    1,216 Ratings
    Company Website
  • Dynamo Software Reviews & Ratings
    71 Ratings
    Company Website
  • UnForm Reviews & Ratings
    19 Ratings
    Company Website

What is Iris.ai?

At Iris.ai, we have dedicated the past six years to developing an award-winning AI engine that excels in comprehending scientific texts. Our state-of-the-art algorithms for text similarity, extraction of tabular data, learning domain-specific entity representations, and entity disambiguation and linking rank among the finest globally. Additionally, our machine constructs an extensive knowledge graph that encompasses all entities and their interconnections, enabling users to learn from it, utilize it, and also provide feedback to enhance the system further. The Iris.ai Researcher Workspace offers a versatile suite of tools that enables users to tackle projects from multiple perspectives. Its modules feature content-driven exploratory searches, analytical assessments of document collections, systematic extraction and organization of data points, automated summarization of various documents, and highly effective filters based on context descriptions, machine analyses, or targeted data points and entities. Furthermore, the Iris.ai engine for scientific text understanding is a robust interdisciplinary platform that can be automatically fine-tuned for specific research domains, allowing for a deeper machine comprehension without the need for human training or annotation, ultimately streamlining the research process.

What is Gemini for Science?

Gemini for Science revolutionizes scientific discovery by providing AI-powered tools and resources tailored to enhance scientific projects. By combining experimental tools from Google Labs with the scientific workflows available in Google Antigravity, it seeks to accelerate research efforts, enhance analytical capabilities, and empower researchers to explore the future of AI-driven scientific inquiry. The Literature Insights feature aggregates scholarly articles to identify new research opportunities, generate robust research outputs, and transform paper data into organized tables connected to original sources. Simultaneously, Hypothesis Generation utilizes a multi-agent strategy that mimics the scientific method, enabling it to identify gaps in knowledge, propose promising research paths, and outline testable research methodologies that have the potential to yield significant advancements. Furthermore, Computational Discovery aids researchers in pinpointing models and algorithms through a smart research engine that develops and assesses code variations based on user-defined optimization goals, thus further streamlining the research workflow. Overall, these cutting-edge tools are designed not just to enhance the efficiency of scientific research but also to fundamentally change the way it is perceived and executed. The integration of these advanced features signifies a major leap forward in the collaboration between AI and scientific exploration.

Media

Media

Integrations Supported

Integrations Supported

CC
Conspecta
Gemini
Google Antigravity

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

Iris.ai

Date Founded

2015

Company Location

Norway

Company Website

iris.ai/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google/gemini-for-science/

Categories and Features

AI Science

Not specified

Data Extraction

Not specified

Categories and Features

AI Science

Not specified

Popular Alternatives

Popular Alternatives

Luminoso Reviews & Ratings

Luminoso

Luminoso Technologies Inc.