Elicit

Consensus

AI search engine for scientific research

An AI search engine that answers questions by citing peer-reviewed scientific studies.

Genesis Therapeutics

AI-powered drug discovery for novel medicines

Genesis Therapeutics uses artificial intelligence to accelerate the discovery of new medicines. The platform analyzes molecular structures and biological data to identify promising drug candidates. It aims to reduce the time and cost of traditional pharmaceutical research.

Elicit

The AI research assistant

Automates research tasks like summarizing papers, extracting data from PDFs, and finding relevant academic literature.

Tavily

Search API built specifically for AI agents & LLM retrieval

Tavily is a specialized search engine and API architecture designed from the ground up to power autonomous AI agents and Retrieval-Augmented Generation (RAG) pipelines. Unlike traditional consumer search engines designed to serve human-readable web pages packed with ads and banners, Tavily extracts clean, factual, and token-optimized Markdown and JSON data ready for direct LLM ingestion. Developers using Tavily eliminate the complex, brittle pipelines of web scraping, HTML parsing, and ad stripping. Tavily queries hundreds of real-time web sources in parallel, evaluates domain credibility, and returns concise synthesized snippets alongside full source attribution in under one second. Whether building an autonomous research assistant in LangChain, an automated market intelligence agent, or a real-time factual verification bot, Tavily serves as the definitive live information retrieval gateway for modern AI applications.

SciSpace

Your AI research workspace

An all-in-one research platform with a powerful 'Copilot' for reading and understanding complex papers.

Qdrant

High-performance vector database and similarity search engine for AI

Qdrant is an open-source, high-performance vector database and similarity search engine engineered in Rust for production AI systems, semantic search engines, and Retrieval-Augmented Generation (RAG) pipelines. It provides lightning-fast nearest-neighbor search with rich payload filtering and custom distance metrics. Unlike traditional databases adapted for vectors, Qdrant was designed from day one to handle high-dimensional neural embeddings at scale. Its Rust engine provides memory-efficient vector quantization (scalar, product, and binary), allowing engineering teams to search billions of vectors on cost-effective cloud hardware.