Consensus built an AI-powered search engine for scientific papers launched in late 2022, now serving millions globally. The stack reveals a data-intensive operation: Next.js + FastAPI frontend backed by PostgreSQL, BigQuery, and a full orchestration layer (Airflow, Dagster, Prefect, Spark). Current hiring priorities—engineering, product, and data roles—align with active work on RAG/search refinement, agentic research flows, and third-party data pipelines, suggesting the company is moving from core search toward autonomous research capabilities.
Consensus operates an AI search platform targeting students, researchers, doctors, and consumers seeking peer-reviewed scientific literature. The product launched in winter 2022 and has achieved millions of users globally. The company is privately held with 2–10 employees based in San Francisco. Current operational focus spans improving search latency, expanding user engagement, scaling cloud infrastructure on GCP/AWS/Azure, and broadening adoption in academic settings. Hiring and project roadmap indicate active investment in data pipelines, personalization, and go-to-market expansion via outbound sales and campus partnerships.
Consensus runs Next.js and React on the frontend with FastAPI and Python backends, storing data in PostgreSQL and BigQuery. The platform orchestrates data workflows via Airflow, Dagster, and Prefect, runs compute on Spark, and deploys on GCP, AWS, and Azure.
Current projects include RAG and search features, third-party data pipelines, agentic research flows, personalization and recommendations, SEO experiments, and go-to-market execution via outbound sales and customer onboarding.
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