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Description

Zochi stands out as the first autonomous AI system capable of completing the entire scientific research cycle, ranging from formulating hypotheses to achieving peer-reviewed publication, while generating cutting-edge outcomes. In contrast to previous systems that were confined to specific, well-defined tasks, Zochi thrives in confronting research challenges that are at the cutting edge of artificial intelligence. The system's effectiveness is demonstrated through a series of peer-reviewed papers accepted at the ICLR 2025 workshops, highlighting Zochi's capacity to produce innovative and academically sound contributions. Furthermore, Zochi recognized a significant obstacle within the AI field: the issue of cross-skill interference during parameter-efficient fine-tuning. This problem arises when models are adapted for multiple tasks at once, leading to enhancements in one skill that may negatively impact others. To combat this challenge, Zochi introduced a novel approach called CS-ReFT (Compositional Subspace Representation Fine-tuning), which emphasizes the editing of representations instead of altering weights. This groundbreaking method has the potential to revolutionize how AI systems are fine-tuned for diverse applications.

Description

Moara transforms how researchers organize, review, and synthesize academic literature by combining intuitive workflows with advanced AI assistance. Built by librarians and researchers, it guides users through every phase of a systematic or narrative review, from paper collection to synthesis. Users can import citations and PDFs, integrate with Zotero and LibKey, and automatically extract metadata from millions of scholarly sources. Moara’s AI tools simplify triage, tagging, inclusion/exclusion decisions, and even assist in capturing and organizing key findings from full-text articles. Its collaborative workspace allows multiple reviewers to work simultaneously, assigning roles and tracking review progress in real time. Researchers can annotate PDFs, highlight evidence, and transform insights into structured data for synthesis and reporting. The platform also ensures data consistency and transparency, following librarian-recommended standards for reproducible research. With its user-friendly interface and robust integrations, Moara helps scholars save hours of manual work and elevate the quality of their academic output.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$25/month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Intology

Founded

2025

Country

United States

Website

www.intology.ai/blog/zochi-tech-report

Vendor Details

Company Name

moara.io

Founded

2024

Country

United States

Website

www.moara.io

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Product Features

Alternatives

Alternatives

LeapSpace Reviews

LeapSpace

Elsevier