PaperLab is an AI-powered platform that helps researchers, academics, and R&D teams rapidly extract insights from thousands of scientific papers at once. Instead of manually reading and summarizing articles, PaperLab lets you ask high-level questions and get structured, synthesized answers; saving weeks of work in literature reviews, meta-analyses, and discovery.

We founded PaperLab because we saw a deep inefficiency in research workflows: talented scientists and researchers were spending up to 40% of their time just reading papers and organizing notes. With the explosion of published research, it became clear that human processing couldn’t keep up. PaperLab was built to free up researchers’ time so they can focus on thinking, testing, and innovating; not paperwork.

Today’s researchers are drowning in information. Whether you're writing a grant, validating a hypothesis, or conducting a systematic review, finding relevant knowledge across 500-5,000 papers is a massive bottleneck. PaperLab removes that barrier by:

-Automating insights extraction across entire libraries

-Organizing key findings into accessible, exportable formats

-Accelerating research cycles by weeks or months

-Enabling collaboration across teams with shared knowledge maps

For organizations, this means faster innovation, better decision-making, and reduced research overhead.

PaperLab is laser-focused on speeding up research discovery without compromising quality. Our mission is to become the go-to knowledge engine for researchers and R&D teams; starting with academic institutions and expanding into corporate research, clinical trials, and government agencies.

We’re not just building a tool; we’re building a new research infrastructure that will define the future of how knowledge is gathered and shared.

Several tools summarize PDFs, but PaperLab goes far beyond that. Here’s what sets us apart:

-Query 1,000+ papers at once, not one-by-one

-Structured insights (not just unstructured summaries)

-Research-grade accuracy built for scientists, by scientists

-Collaboration-first design, so teams can work on shared libraries and exportable reports

-Lightning-fast performance with scalable cloud infrastructure

Where others help you read faster, PaperLab helps you understand faster, and at scale.