Research AI apps

Agentic AI platform for turning proprietary data into decision-grade artifacts.

Capitol is an agentic AI platform that turns proprietary data and expert judgment into trusted, decision-grade artifacts — due-diligence reports, regulatory documentation, and executive briefings. Built for regulated, high-stakes institutions in financial services, professional services, and government, it runs entirely inside enterprise infrastructure with no data egress and keeps every output auditable. It is model-agnostic, working with whichever LLMs an organization approves, and exposes a web interface plus an API and SDK for builders.

AI R&D and innovation intelligence over patents and research.

An enterprise R&D and innovation-intelligence platform that aggregates patents, scientific literature, market data, and grants into a searchable AI workspace. Built for research and IP teams doing technology scouting, competitive analysis, freedom-to-operate assessments, and landscape reports.

Open agentic research assistant for scientists, from Ai2.

Asta is an open ecosystem of AI agents for science from the Allen Institute for AI (Ai2). The Asta assistant helps researchers find relevant papers, generate cited literature summaries, and (in beta) run basic data analyses, with planned hypothesis generation and experiment replication. It ships alongside AstaBench, a benchmark suite for evaluating scientific agents.

Agentic AI for life-sciences R&D, grounded in a biomedical knowledge graph.

Causaly is an agentic AI platform for life-sciences research and development that distills tens of millions of scientific publications and datasets into a high-precision biomedical knowledge graph, then lets domain-specific AI agents plan, search, reason, and synthesize evidence. Researchers use it to map biomarkers, molecular targets, and disease mechanisms and to move from hypothesis to evidence-backed decision in hours rather than weeks. It is sold to pharmaceutical and life-sciences enterprises.

AI research assistant for citation-backed answers and literature reviews.

AnswerThis searches academic literature and returns comprehensive answers with line-by-line citations linked back to the source papers. It drafts structured literature reviews, organizes a research library, and helps write research content grounded in verified sources rather than open-web text. A free tier covers everyday searching, with an Enterprise plan aimed at pharma, biotech, and medical-device teams.

AI research assistant for searching, reading, and writing across scientific papers.

Anara builds a personal library from a researcher's uploaded PDFs and connected sources, then lets you search the literature, ask questions across documents with inline citations, and draft and cite papers. It searches PubMed, arXiv, and JSTOR directly and connects to Zotero, Mendeley, Notion, and cloud drives. A free plan covers core reading and search; paid Plus, Pro, and Max tiers raise limits and add team features.

Real-time search and deep research API for AI agents.

Valyu is a search and retrieval API built for AI agents and LLMs. Its DeepSearch returns full extracted, structured content — not just links — from the open web plus proprietary and paywalled sources like academic papers, regulatory filings, patents, and financial data. A separate DeepResearch API runs asynchronous, multi-step research across those sources and synthesizes the results into reports and structured data.

AI research assistant and reference manager for academics.

Paperguide is an all-in-one academic research platform combining an AI assistant, reference manager, and chat-with-PDF in one workspace. It searches papers with real citations, runs literature-review workbooks, extracts data into tables, annotates PDFs, and drafts with an AI writer and plagiarism checker. Built for students, educators, and research teams, with a browser extension to save sources.

AI that turns research papers into structured, referenced summary flashcards.

Scholarcy reads full-length academic papers, articles, and book chapters and breaks them into interactive summary flashcards that surface the synopsis, key findings, methods, figures, tables, and references. It imports from PDFs, Google Drive, Zotero, and the web, and highlights cited claims so researchers can grasp a paper's core arguments quickly. A premium Scholarcy Library adds unlimited use plus saving, annotating, sharing, and exporting of flashcards.

AI answer engine that searches the web and cites its sources.

Scira (formerly MiniPerplx) is an open-source, AI-powered answer engine — a Perplexity alternative built on the Vercel AI SDK. It plans a query, retrieves from the web, and returns concise answers with inline citations, drawing on 60+ models including Grok, Claude, Gemini, GPT, and DeepSeek. The AGPL-3.0 code is self-hostable, and a hosted app at scira.ai offers a free tier plus a Pro plan with connectors, memory, and voice.

Visual graphs that map the literature around any academic paper.

Connected Papers builds an interactive similarity graph around a seed paper, clustering related work by how strongly papers share references and citations rather than direct links alone. Researchers use it to get up to speed on a field, find prior and derivative work a keyword search misses, and explore a visual map of a research area. The free tier allows a handful of graphs per month, with unlimited graphs on paid academic and business plans.

AI co-scientist for designing and running experiments.

Potato is an AI platform for life-science researchers that pairs literature search and synthesis with an AI co-scientist, 'Tater,' to plan and run experiments end to end. It can generate hypotheses and protocols, translate them into robotic scripts, and analyze results, with human review at each step. It's used in academic and biotech labs and offers free and paid plans.

AI agents that automate scientific literature research and discovery.

FutureHouse is a nonprofit AI-for-science lab building AI agents that automate steps of the research process. Its free FutureHouse Platform exposes specialized agents — including Crow, Falcon, Owl, and Phoenix — for literature search, synthesis, and chemistry, plus Kosmos, an 'AI Scientist' that runs autonomous multi-step analyses. The agents are available through a web app and an open API.

Citation-based literature mapping that visualizes how papers connect.

A literature-discovery tool for researchers that maps the scholarly landscape instead of returning flat result lists. Start from one or more "seed" papers and it surfaces related work, citing/cited papers, and relevant authors as an interactive network — drawing on 270M+ papers — so connections appear even when articles don't cite each other directly. Collections sync to Zotero and can trigger new-paper alerts.

AI-powered academic search with one-sentence TLDR paper summaries.

Semantic Scholar is a free scholarly search engine from the Allen Institute for AI that indexes over 200 million papers across every field of science and uses NLP to surface the most relevant and influential work. Its TLDR feature generates ultra-short, one-sentence summaries of papers, and the Semantic Reader adds inline citation cards and skimming highlights to PDFs. An open API and adaptive Research Feeds let developers and researchers build on the same corpus.

Kosmos, the AI scientist — autonomous literature and data-analysis research runs.

The for-profit spinout commercializing nonprofit lab FutureHouse's scientific agents. Its flagship Kosmos runs autonomous research campaigns — iterating data analysis, literature search, and hypothesis generation — and returns fully cited research reports. The Edison Platform took over FutureHouse's hosted literature agents, with the first Kosmos runs free for academic researchers.

Opera's subscription agentic browser — built to act, not just browse.

An agentic AI browser from Opera built around three agents: Neon Chat answers with page and history context, Do executes tasks directly on web pages, and Make generates mini-apps, sites, and documents. Tasks group related tabs and chats into workspaces, Cards package repeatable prompt workflows, and the ODRA agent compiles sourced deep-research reports. Opened to the public in December 2025 after an invite-only waitlist.

AI research assistant built on citation-context Smart Citations.

Scite helps researchers find and evaluate scientific literature using Smart Citations — citations classified by whether they support, contrast, or simply mention a paper's claims. Beyond search, its AI Assistant answers research questions with grounded, cited references, and reliability dashboards flag retracted or heavily disputed work. Available on the web and via browser and reference-manager plugins.

AI search and research copilot with cited answers.

An AI search and research assistant that returns cited, fact-checked answers across the web, YouTube, and PDFs, with dedicated modes for academic literature review (Liner Scholar) and professional writing (Liner Write). It grew out of a popular web-highlighting tool and now spans browser, mobile, desktop, and a browser extension. The free tier covers everyday search; Pro unlocks more models, file uploads, and unlimited copilot use.

High-accuracy web search and research APIs for AI agents.

Parallel gives AI agents programmatic access to the web through a suite of APIs — a Search API, a Task API for structured extraction, and a Deep Research API for multi-hop questions — all served from its own proprietary web index and retrieval stack. It optimizes for high-signal, low-noise context fed straight into a model rather than ranking URLs for human clicks. Pricing is per request (the Search API starts at $0.005 per call) with a free allotment to start.

Enterprise AI that analyzes vast document sets for finance and law.

Hebbia is an enterprise AI platform that lets analysts ask complex, multi-step questions across huge libraries of filings, transcripts, and internal documents. Its Matrix interface returns answers in a spreadsheet-style grid, with each cell traceable back to its source. It is used heavily across investment banking, private equity, and legal research.

AI deep-research agent that finds every relevant paper on a scientific question.

A research-discovery platform that takes a natural-language question and autonomously searches, reads, and evaluates hundreds of academic papers — following citation trails and explaining each result's relevance, mimicking how an expert runs a literature review. Built by MIT quantum-physics PhDs and backed by Y Combinator; used by researchers at MIT, Harvard, and Caltech.

AI research assistant for literature review and evidence synthesis.

Searches, summarizes, and extracts structured data across 125M+ academic papers, with sentence-level citations. Goes beyond chat-over-papers with a guided systematic-review workflow covering search, screening, extraction, and report synthesis. A free Basic plan offers unlimited search and summaries; paid tiers add data-extraction volume and the review pipeline.

AI search over peer-reviewed research papers, with inline citations.

An academic search engine that runs natural-language questions against a corpus of more than 200 million peer-reviewed papers and synthesizes the findings with inline citations. Its Consensus Meter aggregates how much the studies agree or disagree, and a copilot helps draft literature reviews. Aimed at researchers, students, and clinicians.

Multi-model AI search and enterprise research agents.

You.com is an AI search and answers product offering multi-model chat over OpenAI, Anthropic, and Google models on web and mobile. It has shifted toward enterprise with ARI, a research agent that synthesizes cited reports across hundreds of sources, alongside Search and Research APIs for developers.

AI research assistant: search, read, and review the literature.

AI workspace for academics that searches a corpus of 280M+ papers, runs literature reviews, and answers questions over PDFs with citations. Adds writing aids like a paraphraser and citation generator, plus an agentic 'Deep Review' literature search introduced in 2025. Free Basic tier with paid upgrades.

Grounded research notebook — chat your sources, get Audio Overviews.

Google's source-grounded research tool — upload docs, PDFs, and links, then ask questions answered only from your material, with citations and shareable Audio Overviews. Powered by Gemini.

Prototype with Gemini — prompts, multimodal, and instant API keys.

Google's free playground for building with Gemini — prompt design, multimodal input, structured output, and one-click export to API code. The fastest way to start building on Gemini.

AI second brain that chats with your docs and the web, local or hosted.

An open-source "AI second brain" for chatting with local or online models, searching across your personal documents and the internet, building custom agents, and automating research. Self-host it on your own machine, or use plugins for Obsidian, Emacs, desktop, and mobile. Licensed AGPL-3.0; a paid managed cloud tier also exists, so it's freemium.

Autonomous AI agent that runs deep multi-source web research and writes cited reports.

An open-source autonomous research agent that plans a task, runs parallel multi-source web searches, validates sources, and synthesizes a cited report. It runs locally as a Python package, FastAPI server, or MCP server, and works with any LLM provider plus a search/retriever backend. Free and Apache-2.0 licensed — you only pay your own LLM and search-API costs.

Models, datasets, papers, spaces. The AI research commons.

Source-of-truth for open-weights models and datasets. Daily-paper feed for tracking research; Spaces for trying ideas without setting up infra. The default home for any model not behind a paid API.