AI Search & Research platforms enhance information discovery and analysis through artificial intelligence. These tools provide advanced search capabilities, research synthesis, and knowledge management features to help users find, understand, and utilize complex information effectively.
46 verified AI-first sites in Search & Research.
AI search company now focused on web search APIs for agents and LLMs. Search, Contents, Answer, and Research APIs return fresh web results, clean page content, and grounded cited answers, plus live stocks, crypto, weather, and prediction-market data; ranks among top providers on independent search-API benchmarks.
Pricing: $100 in free API credits; usage-based pricing (Web Search from $5 CPM); enterprise plans.
Research citation analysis platform. Features smart citation context, research validation, and literature exploration. Includes citation network analysis, trend identification, and reference management. Supports academic and research workflows.
Pricing: Free plan available. Premium: $20/month. Institution plans with custom pricing.
Research synthesis and search platform. Features paper analysis, claim verification, and evidence mapping. Includes literature review tools and citation tracking across scientific papers.
Pricing: Free tier. Premium: $20/month. Enterprise: Custom pricing.
Search engine with real-time information synthesis. Features source-cited answers, file analysis, and advanced research capabilities. Includes multiple AI models and comprehensive search modes. Supports academic and professional research needs.
Pricing: Free tier. Pro: $20/month. Enterprise: From $40/month
Research paper search engine. Features semantic analysis of scientific literature, citation analysis, and research tracking. Includes paper recommendations and impact metrics. Supports academic and scientific research workflows.
Pricing: Free service. API access available.
AI literature-review and enterprise knowledge platform. RSpace is its literature-review product for R&D teams; Axion and Neuralith turn a company's own documents and systems into a controlled answering engine. The live site now targets manufacturing, life sciences, energy, and telecom teams that need answers grounded in internal knowledge.
Pricing: Enterprise pricing. Contact for demo.
AI agents for professional search, academic research, and writing. Liner Search delivers cited answers; Liner Scholar finds papers, compares studies, and drafts literature reviews; Liner Write drafts and edits documents in one workspace. Replaces the former getliner.com highlighter product.
Pricing: Free tier available. Pro and team plans on site.
Scientific research assistant that analyzes thousands of papers to find relevant research. Features include deep literature review, citation analysis, research gap identification, and cross-disciplinary insights discovery. Used by researchers at major institutions.
Pricing: Free tier available. Pro: $60/month. Team: $60/user/month. Enterprise: Custom pricing.
Scholarly literature search and exploration system using natural language queries. Features integration with Open Research Knowledge Graph (ORKG) containing over 80 million scientific publications, Retrieval-Augmented Generation (RAG) approach for precise answers, automatic extraction of key information from articles, and neuro-symbolic approach combining LLMs with structured knowledge. Supports efficient literature discovery and analysis.
Pricing: Free open-source platform
Research assistant used by 400,000+ researchers monthly. Raised $22M Series A at $100M valuation in 2025 led by Spark Capital. Features automated literature review, paper analysis, and research synthesis with evidence-backed decisions. Expanding beyond academia to enterprise evidence-based AI decision-making.
Pricing: Free tier. Pro: $20/month. Team: Custom pricing.
Ad-free AI search engine that answers questions with cited web sources instead of a classic results page. Queries stay private, with no tracking or personal data collection, and you can ask follow-ups in the same thread. Positions itself as a privacy-first alternative to ad-supported search.
Pricing: Free
AI research assistant over 200 million-plus peer-reviewed papers, with semantic search, paper Q&A, and summarization. Related-work graphs and filters help narrow a literature review, and citation tools export bibliographies. Used by students, developers, and clinical research teams.
Pricing: Free tier available. Premium features available.
AI article summarizer that turns research papers into referenced flashcards and structured extracts of methods, results, and conclusions. A browser extension summarizes papers while you browse, and batch mode processes many PDFs for a literature review. Citation export is included for writing up the sources you keep.
Pricing: Free tier available. Premium plans available.
AI search and research API designed for AI agents and LLM applications. Features search API with AI-scored source ranking and content optimized for AI consumption, plus Research API for comprehensive multi-source analysis and report generation. Supports multiple search depths and streaming research output. Used by developers building RAG systems, agents, and research tools. Integrates with LangChain, LlamaIndex, and major AI frameworks.
Pricing: Free tier with credits. Pay-as-you-go. Enterprise: Custom pricing.
AI research assistant for literature review and document analysis. Features automatic summarization of papers and PDFs, key information extraction, and research note organization. Includes citation management, reference generation, and integration with research workflows. Supports researchers and students conducting literature reviews and synthesizing academic content.
Pricing: Free tier. Pro: $12/month. Team and institutional plans available.
AI-native search engine and API for retrieving web pages by meaning rather than keyword only. Designed for agentic and RAG workflows with structured search, filtered retrieval, and cleaner relevance for LLM applications. Useful when teams need developer-first semantic discovery across live web content.
Pricing: Free tier; usage-based paid plans; enterprise options; see site.
AI research assistant for scientific literature: paper discovery, summaries, explanations, and citation-backed answers across large academic corpora. Helps students and researchers move from question to evidence quickly with paper-level context and follow-up exploration paths.
Pricing: Free tier; Pro/paid plans; see site.
AI research assistant focused on evidence-based synthesis from scholarly sources. Designed to provide source-grounded answers with explicit references, helping users evaluate claims and accelerate early-stage literature review workflows.
Pricing: Free trial/tier and paid plans; see site.
Search foundation API platform for AI applications, including URL-to-markdown reading, reranking, and retrieval-oriented workflows. Helps developers transform raw web and document content into LLM-friendly inputs for grounded answers and agent reasoning loops. Best suited for teams improving search quality and context construction in AI products.
Pricing: Free usage available. Token-based paid plans available; see cloud.jina.ai/pricing for current tiers.
Web intelligence APIs built for LLM and agent workflows: high-accuracy search, deep research, structured extraction, and enrichment with citations and provenance. MCP and platform tooling aimed at grounding autonomous research and browsing agents.
Pricing: Usage-based per query tier; enterprise options; see pricing page.
AI workspace for scientists and students to find, understand, and write research with citations. Uploads PDFs and corpora for grounded Q&A; searches academic databases including PubMed, arXiv, and JSTOR. Specialized agents for paper discovery, extraction, flashcards, and manuscript workflows with clickable source links. Used by millions at universities and R&D teams.
Pricing: Free tier; paid plans; see anara.com.
Enterprise infrastructure for AI web agents that search, fetch, browse, and complete goals on the live web-including authenticated flows scrapers miss. Agent API runs natural-language tasks; Search and Fetch return structured data from dynamic pages. MCP-native for Claude, Cursor, and agent stacks; hundreds of thousands of enterprise agent runs monthly for Google, DoorDash, and Fortune 500 teams.
Pricing: Free Search and Fetch on all plans; Agent and Browser use credits-500 free credits to start; see agent.tinyfish.ai.
AI document assistant for PDFs and research files. Ask questions across uploaded papers with cited answers, summaries, and comparisons. Team data rooms with role-based access; embeddable widget for customer-facing doc Q&A. Backed by Gradient Ventures; used in academia and enterprise research.
Pricing: Free tier up to 60 pages. Expert from $9.99/month. Team from $49/user/month.
Search and deep-research API for AI agents and knowledge workflows. Returns full-text web and proprietary sources-filings, papers, patents-not just links. Deep Search agents for long-horizon research tasks; SOC 2, zero data retention, and enterprise SLAs.
Pricing: Usage-based API pricing; enterprise plans on site.
Multilingual AI search and creation platform. Combines web search with document workflows for cross-language research, summaries, and content drafting. Free tier for individual discovery and reading threads across sources.
Pricing: Free tier available. Paid plans on site.
AI academic source finder for students and researchers. Paste an essay or abstract to surface relevant peer-reviewed papers with summaries and export options. Focused on literature discovery without manual keyword hunting.
Pricing: Free and paid tiers on site.
AI medical research assistant for patients. Retrieves PubMed and trial evidence, then synthesizes plain-language answers with citations so people can prepare better questions for clinicians.
Pricing: Free core tools.
AI tool that explains academic PDFs in plain language. Highlight confusing passages for simpler rewrites while keeping paper context. Popular student companion for dense scientific reading.
Pricing: Free tier; paid plans on site.
Production-grade web search API built for AI agents and RAG. Returns clean, citeable web results for grounding LLM apps-positioned alongside developer search APIs like Tavily and Exa for agent and research workflows.
Pricing: API usage plans; see Linkup.
AI search and Q&A engine for open-web questions with cited answers. Homework helper and general research chat that synthesizes sources into short grounded responses for students and casual research.
Pricing: Free tier; Plus plans-see iAsk.
DuckDuckGo's private AI chat and search. Multi-model answers without query logging, built for privacy-first web research alongside DuckDuckGo Search.
Pricing: Free; DuckDuckGo Plus for higher-tier models-see Duck.
AI research hub on arXiv: ask questions across papers, follow researchers, and explore literature with MCP and Autoresearch. Built for ML and scientific discovery workflows.
Pricing: Free to explore; see alphaXiv.
AI search engine for conversational web answers with citations. Explores topics and follow-ups without a classic ten-blue-links results page, aimed at everyday research and discovery.
Pricing: Free and Pro plans-see Komo.
AI research workspace to find sources, cite, and write. Formerly Afforai-helps students and knowledge workers draft literature-backed writing with searchable libraries and citations.
Pricing: Free and paid plans-see Logically.
Chat with any PDF using AI. Ask questions across papers and documents to extract answers, summaries, and quotes without reading every page manually.
Pricing: Free tier and Plus plans-see ChatPDF.
AI literature search and reading app across 250M+ research papers. Personalized feeds, paper summaries, and audio listens for academics keeping up with their field.
Pricing: Free app and premium-see R Discovery.
Allen Institute for AI research assistant for scientific literature synthesis. Retrieval-augmented models help scientists find, compare, and summarize papers with transparent citations.
Pricing: Research access-see Ai2 Asta.
Open-source AI answer engine with generative UI and cited responses. Quick and adaptive modes that search the web and read sources instead of returning link lists alone.
Pricing: Open source; self-host free. See morphic.sh for hosted options.
Google Search API built for AI agents and LLM apps. Fast, low-cost SERP results for RAG, agents, and research workflows that need live web grounding.
Pricing: Free credits; paid usage from Serper pricing.
Agentic search that turns a plain-language question into a table with every row found and a cited source behind every cell. You review and edit the plan before it runs, and a fact no source supports stays empty instead of being guessed. Its own context filter model drops more than 90% of each page before the answering model reads it, and its web index labels pages by who stands behind them so searches can target trusted sources. Available through the app, Python and TypeScript SDKs, and a CLI, and it reports higher Recall@100 than Exa, Parallel, and Perplexity agents on the open WANDR benchmark.
Pricing: Usage-based per search; plans on site.
Serverless semantic search that makes uploaded files searchable by meaning with no embedding pipeline or upfront ingestion fees. It runs its own sparse retrieval models, WonderSearch 1.1 Small, Medium, and Large, and publishes nDCG@10 results against dense embedding models on datasets such as SciFact, FiQA, and BRIGHT. Search is available through MCP, API, CLI, and SDK so teams and AI agents can pull context from PDF, text, and Markdown files. Part of Y Combinator's Fall 2026 batch.
Pricing: Pay per query; storage billed separately.
AI research assistant for literature reviews that searches a database of 300M+ papers, trials, and PDFs and judges the relevance of each source to your question. It checks every source and claim against the paper it came from before anything reaches your draft. Workflows run from finding research gaps to PRISMA and Cochrane-style systematic reviews, with personal libraries, collaboration, and more than 2,000 citation styles. The company says over 1 million researchers use it, and it is backed by Y Combinator.
Pricing: Free to start; paid plans on site.
Web search API for AI agents, served from Seltz's own index rather than a live scrape of someone else's engine. Search, Answer, Agent, Fetch, and Monitor endpoints return structured citable documents, synthesized answers, multi-step research, page content, and scheduled change feeds. API keys start with thousands of free queries, and the company reports topping Exa's People and Company Search benchmarks.
Pricing: Usage-based by endpoint; free query credits to start; enterprise private cloud—see Seltz.
Web search, fetch, and crawl APIs for agents, powered by Expand's own models. Iris is a vision model that reads the rendered page and writes layout-aware Markdown; X-Ray is a second model that pulls hidden JSON from the page. Expand Search is $1.50 per 1,000 searches, and the company reports 90.7% accuracy on a 600-question research benchmark at lower cost than Exa and Brave; new accounts get 10,000 free credits.
Pricing: 10,000 free credits; pay-as-you-go $1 per 1,000 credits; Search $1.50 per 1,000; enterprise on request.
Independent web search index of 100 billion-plus documents, built for high-frequency queries from AI agents rather than human SERPs. A Search API and MCP server return model-ready snippets and page fetches at under 250ms p95, with SELECT (Web Query Language) turning many pages into a cited table of extracted values. Self-serve Agent Builder pricing starts at $4 per 1,000 requests with 100,000 free requests; a Frontier tier is $1 per 1,000 at 100+ RPS.
Pricing: 100K free requests; Agent Builder $4/1,000; Frontier $1/1,000 at 100+ RPS.
Real-time web search API for agents with Octen's own embedding models, including Octen-Embedding-8B, which ranks first on the RTEB retrieval benchmark, and octen-vl-embedding-large on MMEB-V2. Endpoints cover web search, extract, auto-decomposed parallel search, embeddings, and deep research, exposed as an API, MCP server, CLI, and coding-agent skill. New accounts get $5 in free balance with no card required, then pay-as-you-go from $0.10 per 1,000 lite retrieval calls.
Pricing: $5 free balance on signup; pay-as-you-go and optional QPS plans on site.