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What is ResoluteAI?

ResoluteAI provides a robust platform that enables users to conduct simultaneous searches across a wide range of aggregated scientific, regulatory, and business databases. Its interactive analytics and downloadable visualizations empower users to establish connections that could lead to groundbreaking discoveries. Nebula, the enterprise search solution from ResoluteAI designed specifically for the scientific sector, harnesses structured metadata along with advanced AI tools to enhance institutional knowledge. This innovative system integrates a variety of technologies, including natural language processing, optical character recognition, image recognition, and transcription, facilitating the discovery and retrieval of proprietary information with ease. By using Nebula, researchers can uncover the hidden value in their studies, experiments, market insights, and acquired assets. With the advantage of structured metadata from unstructured text, users gain access to features such as semantic expansion, conceptual search, and document similarity search, ensuring a thorough investigation of their data. This groundbreaking platform revolutionizes the way scientific information is accessed and leveraged, leading to improved research outcomes and fostering collaboration within the scientific community. Moreover, its user-friendly interface and powerful search capabilities make it an essential tool for researchers aiming to push the boundaries of knowledge.

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

CC
Gemini
Google Antigravity

Integrations Supported

CC
Gemini
Google Antigravity

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ResoluteAI

Date Founded

2015

Company Location

United States

Company Website

www.resolute.ai/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google/gemini-for-science/

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Market Research

Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Categories and Features

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