We automatically assess the novelty of your research question and handle everything—from exhaustive literature discovery to experimental protocol design. A database of 100 million+ papers, combined with AI-driven, fine-grained paper assessment, makes it possible.
Our science-tuned AI sweeps 200 million-plus articles and patents—updated daily—across every discipline to tell you, in seconds, whether your research question is truly novel. No more guesswork, just an evidence-backed originality score and the key papers you must acknowledge.
The engine automatically surfaces studies that support or refute your question and ranks them by journal impact, methodological rigor, and risk of bias—never by crude keyword counts. You see the strongest evidence first and can dismiss marginal work at a glance.
Type your hypothesis and constraints; Licklider assembles a full experimental or clinical protocol: study design, instruments & reagents, quality-control checkpoints, statistical plan, and governance notes. Spend your time running the study, not drafting paperwork.
Instantly spot the long-standing authorities and the fast-rising voices in any niche. Interactive graphs trace who claims what, how their influence has shifted, and where fresh collaboration opportunities lie.
I was stunned to see the system identify precisely the same novelty I have been chasing for years. It surfaced far more literature than I could ever hope to read, then mapped those findings to a clear originality claim—instant peace of mind for any researcher. No more juggling half-a-dozen databases and keyword permutations; its ability to pull papers directly from my research question is nothing short of brilliant.
CTO, BioTech Innovations
In just a few minutes it auto-generated a complete, publication-ready protocol for CRISPR editing in human hematopoietic stem cells—the kind of document that would take a freshly minted PhD the better part of a month. I'm genuinely floored. What does this mean for the future of bench science?
Head of R&D, TechFuture Inc.
I can grasp—in minutes—the entire conversation space outside my own specialty, from the hottest rising experts to long-standing authorities. Only an AI built expressly for R&D could organize that wealth of context so cleanly. The time saved is priceless.
Founder, GreenSolutions
I thought ChatGPT was plenty, but a colleague insisted I try this. I had no idea an AI agent could take a single research question and choreograph the entire workflow to completion. The real showstopper is the way it scores each paper for relevance and credibility. I've just met my new research wingman.
Global Pharmaceuticals
I'm not a data-analysis specialist, so having the AI generate the experimental protocol and propose the downstream analytics and likely outputs is a game-changer. My 'pre-consult' meetings with the stats team have dropped to near zero.
CTO, BioTech Innovations
The platform even retrieved high-quality, up-to-the-minute arXiv preprints. The draft it produced was so polished I only had to tweak a few lines in the discussion section. That level of confidence—before peer review—at this speed, feels revolutionary.
Founder of Slow, Inc.
I was stunned to see the system identify precisely the same novelty I have been chasing for years. It surfaced far more literature than I could ever hope to read, then mapped those findings to a clear originality claim—instant peace of mind for any researcher. No more juggling half-a-dozen databases and keyword permutations; its ability to pull papers directly from my research question is nothing short of brilliant.
CTO, BioTech Innovations
In just a few minutes it auto-generated a complete, publication-ready protocol for CRISPR editing in human hematopoietic stem cells—the kind of document that would take a freshly minted PhD the better part of a month. I'm genuinely floored. What does this mean for the future of bench science?
Head of R&D, TechFuture Inc.
I can grasp—in minutes—the entire conversation space outside my own specialty, from the hottest rising experts to long-standing authorities. Only an AI built expressly for R&D could organize that wealth of context so cleanly. The time saved is priceless.
Founder, GreenSolutions
I thought ChatGPT was plenty, but a colleague insisted I try this. I had no idea an AI agent could take a single research question and choreograph the entire workflow to completion. The real showstopper is the way it scores each paper for relevance and credibility. I've just met my new research wingman.
Global Pharmaceuticals
I'm not a data-analysis specialist, so having the AI generate the experimental protocol and propose the downstream analytics and likely outputs is a game-changer. My 'pre-consult' meetings with the stats team have dropped to near zero.
CTO, BioTech Innovations
The platform even retrieved high-quality, up-to-the-minute arXiv preprints. The draft it produced was so polished I only had to tweak a few lines in the discussion section. That level of confidence—before peer review—at this speed, feels revolutionary.
Founder of Slow, Inc.
For researchers who read just a few papers each month
For heavy readers who also run experiments and publish
For organizations needing APIs or multi-account management
