ResearchCollab
ResearchCollab is an AI-powered research platform that helps graduate students, academics, research teams and industrial R&D groups run the entire research process in one workspace instead of scattering it across a dozen tools.
It covers discovery through to writing: Search Papers and Topic Explorer for mapping a field, a Research Agent for guided investigation, a Knowledge Bank for organising sources, an AI Notes Editor and Own Voice Editor for drafting in your own style, a Virtual Peer Reviewer for catching weaknesses before submission, and a PRISMA diagram tool.
The systematic literature review workflow is built for rigour. Retrieval and deduplication run deterministically with no AI calls, so your search results stay reproducible, auditable and defensible in a methods section.
Teams can collaborate in shared projects with templates, structured notes and consistent citation handling.
Made for researchers who want speed without giving up control of their own writing.
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MiroMind
MiroMind is an AI research and prediction agent designed for high-performance reasoning and autonomous research, optimized for real-world problem-solving. It is positioned as an enhanced open source AI for deep research that goes beyond simple chatbots by acting as a research partner capable of tackling complex challenges through systematic reasoning, real-time web exploration, and evidence-based verification. It offers a Deep Research Mode that delivers comprehensive, evidence-backed reports instead of quick summaries, autonomously searching, browsing, and synthesizing information from hundreds of sources to uncover accurate insights. It includes advanced reasoning capabilities that allow users to solve complex math, coding, and logic problems with confidence, using iterative verification to ensure accuracy at every step. MiroMind also provides predictive intelligence, enabling users to perform tasks such as financial forecasting and competitive analysis by evaluating data.
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moara
Moara is an AI-powered research management platform that helps academics, scientists, and librarians streamline their literature review process. Designed around librarian-led best practices, it supports both narrative and systematic reviews through guided workflows and automation. Researchers can easily import papers from Zotero, citation files, or PDFs, accessing over 200 million publications to build a structured library. AI automatically extracts metadata, tags papers, and assists with triage, annotation, and evidence synthesis. Collaboration tools allow teams to assign papers, track progress, and comment in real time, ensuring efficiency and consistency. With Moara, researchers can conduct comprehensive, organized, and reproducible reviews faster than ever before.
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ScholarIQ
ScholarIQ is a web-based AI research assistant for searching and reviewing scientific literature. Researchers can pose a question, search records from OpenAlex, ORCID and PubMed, or upload search results and source documents. The platform ranks articles against review criteria, supports citation-based snowball discovery, and helps users screen records, highlight relevant passages, and extract specified information from uploaded texts. Answers and suggested values link to cited sources, while reviewers retain control of inclusion decisions, risk-of-bias judgments, and conclusions. ScholarIQ records reviewer identity, decision rationale, and supporting passages to make review work traceable. It also provides a public research metadata atlas linking papers, researchers, journals, institutions, and topics. It serves individual researchers and review teams doing literature searches, evidence screening, and systematic reviews.
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