Problem

Scientific research is difficult to navigate at scale: researchers must find relevant peer-reviewed papers, determine what they actually say, and synthesize evidence into a defensible answer. Conventional academic search largely returns documents rather than conclusions, making literature discovery and review a time-intensive bottleneck. Consensus targets that problem by helping users find, organize, and analyze scientific evidence substantially faster.

The primary use case is answering a focused research question or accelerating a literature review. Instead of manually screening a large body of papers before forming an evidence-based view, a researcher can use Consensus to identify relevant studies and quickly understand the direction of the literature. The economic value is time saved for academics, clinicians, students, analysts, and other knowledge workers whose work depends on reliable research synthesis.

Product / Service

Consensus is an AI workspace and academic search engine built specifically for scientific research. It searches a database of more than 220 million peer-reviewed papers and uses AI to help users find, organize, and analyze the literature. Its Deep Search research agent can conduct a full literature review across roughly 200 million scientific papers in about two minutes, while its Pro experience provides cited AI analysis and searches that use full text across multiple papers.

The product is delivered as a web application with a free tier and optional paid subscriptions. Consensus’s Pro plan is priced at $20 per month or $144 per year when billed annually, giving users unlimited Pro searches. The core benefit is faster research throughput while preserving links back to peer-reviewed evidence rather than presenting an unsupported answer.

Market

Consensus competes in the growing market for AI-powered academic search, literature-review automation, and research workspaces. Its closest alternatives include Elicit, Scite, Semantic Scholar, and ResearchRabbit, which address overlapping parts of scientific discovery and synthesis. Semantic Scholar is a particularly adjacent product because it also applies AI to understanding the meaning of scientific literature, while Consensus differentiates around cited synthesis and an AI workflow for answering research questions.

Consensus is not pre-revenue. In its July 2024 Series A announcement, the company reported more than 400,000 monthly active users and $1.5 million in annualized revenue; it also announced $11.5 million in Series A funding. By May 2026, the company said additional funding would support reaching its next 10 million users and expanding beyond search toward an AI operating system for researchers. Its free-to-paid subscription model gives it a broad acquisition funnel, while the reported user, revenue, and funding milestones indicate meaningful early traction.