10 Best Collaboration for Researchers Tools in 2026

Stempad is an AI-powered online platform designed for creating, editing, and publishing scientific notes. It aims to streamline the note-taking process for STEM students, educators, and professionals by integrating various essential tools into a single, collaborative environment. Users can easily incorporate complex mathematical equations, chemical structures, graphs from experimental data, and diagrams without needing extensive knowledge of LaTeX or switching between multiple applications. The platform supports real-time collaboration, allowing multiple users to work on documents simultaneously. It integrates with popular educational and productivity tools like Google Drive, Notion, Canvas, and Overleaf, and is compatible with PDF, LaTeX, and Markdown formats for import and export. Stempad is particularly beneficial for those who need to quickly capture and organize scientific concepts, offering an intuitive interface that simplifies the creation of detailed and visually rich scientific documents.

Inciteful is a tool designed to help researchers and academics navigate the vast landscape of academic literature by leveraging citation networks. It allows users to input a paper and then discover highly cited, influential, and related works, both forward and backward in time. This helps users quickly identify foundational papers, recent developments, and key authors in a specific research area. The platform is ideal for students, researchers, and anyone conducting literature reviews who needs to efficiently uncover relevant publications. By visualizing citation relationships, Inciteful streamlines the process of understanding the impact and evolution of research topics, saving significant time compared to traditional search methods. It aims to make the discovery of important academic works more intuitive and less reliant on keyword matching alone.

Benchling is a comprehensive cloud-based platform designed to accelerate biotech and biopharma research and development. It provides a unified digital environment for scientists to plan, record, and share experiments, automate workflows, and leverage AI tools for increased efficiency. The platform helps build a robust data foundation by allowing users to model and track scientific data for various biomolecules, small molecules, cell lines, animals, and reagents, ensuring a unified data model across experiments. Benchling caters to a wide range of R&D teams across discovery, pre-clinical, and process development, with specialized solutions for areas like gene therapy, cell therapy, antibodies and proteins, RNA therapeutics, agritech, industrial biotechnology, and microbial strains. It integrates traditional ELN, LIMS, and molecular biology tools into a single, flexible system that adapts to evolving scientific needs. The platform is built to scale, offering out-of-the-box integrations, custom app development capabilities, and connectivity with instruments and other software, ultimately aiming to reduce time spent on data capture, increase throughput, and save scientists valuable time.

AIcrowd is a platform designed to host and manage AI challenges and research collaborations. It provides an environment where researchers, data scientists, and AI enthusiasts can participate in competitions, contribute to open science projects, and learn from a global community. The platform facilitates the entire lifecycle of an AI challenge, from problem definition and dataset hosting to submission evaluation and leaderboard management. It caters to individuals and organizations looking to benchmark AI models, discover new talent, or foster innovation in specific AI domains. Participants benefit from hands-on experience with complex datasets and real-world problems, while organizers gain access to diverse solutions and a broad talent pool. The platform emphasizes open science and collaboration, allowing for the sharing of knowledge and advancements within the AI community.