ConceptViz

Sciscoper is an AI powered research assistant that is used to streamline and accelerate the literature review process for STEM researchers, academics, and R&D teams. Researchers often deal with hundreds or thousands of scientific papers scattered across different sources, making it difficult to extract meaningful insights efficiently. Sciscoper solves this by using AI and natural language processing to automatically: Summarize scientific papers and research findings. Extract key insights, concepts, and relationships across documents. Generate literature reviews with citations in multiple reference styles. Organize and index papers into a structured, searchable knowledge base for easy discovery. This allows users to focus less on manual reading and note-taking, and more on analyzing results, identifying research gaps, and producing new scientific knowledge.

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.