Best Research AI Agents (2026)
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A curated guide to the best Research AI Agents—autonomous tools that search sources, synthesize findings, and produce cited reports across academic, market, and competitive research workflows.
Research AI Agents u brojkama
Cjenovni miks
Best Research AI Agents (2026)
- 1
Lila SciencesPlatform combining autonomous labs & AI to accelerate discovery in life, chemical, and materials sciences.5.0 (5) - 2
Isomorphic LabsAn AI-driven drug discovery company leveraging AlphaFold to accelerate therapeutic development.5.0 (4) - 3
ResearchClawOpenClaw-powered agent that finds and ranks researchers from papers, writes plain-English hiring theses, and drafts cold emails referencing their work.4.8 (6) - 4
Atelier RuixenPartner za znanstveni um koji precizira pitanja i uređuje čitav list članaka, omogućujući pretvaranje raspršenog informiranja u djelotvorene saznanke.4.8 (6) - 5
KosmosAutonomous AI scientist for long research campaigns that analyzes data and literature to produce fully cited scientific reports.4.8 (6) - 6
OpenAI Deep ResearchAutonomous AI agent that runs multi-step web research and delivers structured reports4.8 (5) - 7
AutoresearchProstopeni projekat koji omogućava AI agentima samostalni pokretanje LLM trening eksperimenata i spremanje najboljih ažuriranja modela.4.8 (5) - 8
AMIEMultimodalni AI dijagnostički agent koji provodi klinička razgovora i tumači medicinske slike za točne dijagnoze.4.7 (6) - 9
Company Status AgentIstočno provjerite registraciju i aktivno stanje tvrtke širom svjetskih službenih registara u trenutku.4.6 (5) - 10
THEUS (Aigora)Enterprise AI research system that turns proprietary studies into traceable insights with fact IDs, citations, and expert avatars for synthesis.4.6 (5)

Lila Sciences
Platform combining autonomous labs & AI to accelerate discovery in life, chemical, and materials sciences.

Lila Sciences is a platform that combines autonomous labs and AI to accelerate discovery in life, chemical, and materials sciences. It generates hypotheses, designs and runs experiments, and learns from new data in real time. The platform consists of an advanced AI model and proprietary AI Science Factory instruments, allowing scientists to think, test, and learn at a speed and scale that traditional approaches cannot match. Lila Sciences focuses on various industries, including advanced materials, energy and environment, therapeutics, chemicals, oil and gas, aerospace and defense, and biotech. Its goal is to solve humankind's greatest challenges by executing the entire scientific method autonomously.
- Autonomous hypothesis generation
- Experiment design and execution
- Real-time learning from data
- AI Science Factory instruments
- Advanced AI model for complex analysis and reasoning

Isomorphic Labs
An AI-driven drug discovery company leveraging AlphaFold to accelerate therapeutic development.

Isomorphic Labs is a company that uses AI, specifically building on the AlphaFold system, to accelerate therapeutic development and ultimately solve all diseases. They leverage machine learning to transform drug discovery, with the goal of designing novel molecules, anticipating drug performance, and developing innovative medicines. The company is founded on the principle of harnessing the power of information science to model complex biological phenomena. This is done through the Isomorphism concept, which aims to uncover the underlying symmetry between biology and information science. By using AI to overcome the limitations of traditional discovery methods, Isomorphic Labs aims to improve human health. Their interdisciplinary team of experts in drug discovery and machine learning builds predictive and generative AI models. These tools enable digital biology, allowing for faster breakthroughs and life-changing medicines. The company is on a mission to advance human health through the application of frontier AI. Isomorphic Labs was founded by Sir Demis Hassabis, who believes that there is no more important application for AI than helping to improve human health. The company has received investments and entered into research collaborations, showing their commitment to the development of AI-powered drug discovery.
- Predictive AI models
- Generative AI models
- Digital biology
- Novel molecule design
- Drug performance anticipation
- Innovative medicine development

ResearchClaw
OpenClaw-powered agent that finds and ranks researchers from papers, writes plain-English hiring theses, and drafts cold emails referencing their work.

ResearchClaw is a Research AI Agents tool listed on Agent Pantheon.

Atelier Ruixen
Partner za znanstveni um koji precizira pitanja i uređuje čitav list članaka, omogućujući pretvaranje raspršenog informiranja u djelotvorene saznanke.

Atelier Ruixen je platforma koja pomaže korisnicima da poboljšaju svoje upite i uređuju čitance spiskove kako bi se rasprostranjeno informiranje preturtalo u djelotvne saznanke. Nudi široki arhiv znanja koji se sastoji od 11,897 dijelova, razvijenih u 1,063 cjelovita kognitivna niti. Ove niti su proizvod 'Majstora' koji koriste nastavak uzorka da spajaju složene informacije u razumljiva formati. Plijeća se platforma ne kao dokumentacija poput Wikipedije, nego kao ogromna, uređena zbirka znanja koja je prezentirana u jedinstvenom i uzorcima temeljenom formatu. Ugradi u nju je mudrost prošlog znanja s moćmi buduće inteligencije. Korisnici mogu interagirati s platformom kroz konvencionalni sučelje, gdje mogu postaviti pitanja i primati uređene spisice za čitanje na odgovor. U konačnici, Atelier Ruixen nastoji pružiti korisnicima moćan alat za pronalazenje operativnih informacija iz složenih podataka.
- Izrađeno pitanje postavljivanja
- Uređena čitanka
- Oblik za prikazivanje složene informacije s uzorcima
- Interaktivna građanska razgovor
- Sveobuhvatni znanstveno-umjetnički ekosistem

Kosmos
Autonomous AI scientist for long research campaigns that analyzes data and literature to produce fully cited scientific reports.

Kosmos is an autonomous AI scientist designed for biopharma R&D teams and researchers. It analyzes data and literature to produce fully cited scientific reports, accelerating the drug development process from hypothesis to registration in days, not months. Kosmos works autonomously, reading literature, generating hypotheses, steering investigations, and executing scientific workflows. It supports the full lifecycle of drug development, from target identification through clinical development and filing. The AI tool collaborates with human scientists through Slack, Teams, and email, and learns from the organization's knowledge, building on experimental history and proprietary scientific data.
- Autonomous hypothesis generation
- Literature analysis
- Data analysis
- Scientific workflow execution
- Collaboration through Slack, Teams, and email
- Model agnostic for future state-of-the-art models

OpenAI Deep Research
Autonomous AI agent that runs multi-step web research and delivers structured reports

OpenAI Deep Research is an agentic feature inside ChatGPT that browses the web on your behalf, reading and synthesizing information from many sources to produce a long-form, cited report. Instead of a single quick answer, it plans a research path, follows links, compares findings, and iterates over several minutes to handle questions that would normally take a human hours of digging. It is aimed at tasks like competitive analysis, market and academic research, due diligence, and detailed product or policy comparisons. Users submit a prompt, optionally answer clarifying questions, and receive a written report with inline citations they can verify. The tool is available to paying ChatGPT users with usage limits that vary by plan tier.
- Autonomous multi-step web browsing
- Long-form reports with inline citations
- Clarifying questions before research starts
- Reasoning over text, images, and PDFs
- Progress updates during research runs
- Exportable results within ChatGPT

Autoresearch
Prostopeni projekat koji omogućava AI agentima samostalni pokretanje LLM trening eksperimenata i spremanje najboljih ažuriranja modela.

Autoresearch je projekt otvorenog koda kojim se omogućava učenicima AI autonomno izvršavati eksperimente treninga LLM-a i očuvati najbolje promjene modela. Projekt omogućava korisnicima postaviti malen ali realni sustav treninga za LLM i omogućava učionicu AI eksperimentirati s njim tokom noće, mijenjajući kôd, vježbajući kratko vrijeme i provjeravajući da li su rezultati poboljšani. Cilj je automatisati proces istraživanja, omogućavajući učionicu da istražuje različite arhitekture modela, hiperrazmere i strategije optimizacije bez ljudske intervencije. Projekt uključuje pojednostavljenu implementaciju jedne GPU na osnovi nanochat-a i pruža temeljnu strukturu za programske potpore istraživanja procesa učenice koristeći datoteke s markdowom. Projekt je dizajniran također da bude dostupan za nadogradnju, dopuštajući korisnicima da dodaju više učionica ili poboljšaju postupak istraživanja tokom vremena.
- Autonomni LLM trening eksperimenati
- AI agent-pokretan istraživački proces
- Single-GPU implementacija nanochata
- Markdown-usmeren program za istraživački proces
- Buget vremena učenja od 5 minuta s ocjenjivim metričkim (val_bpb)

AMIE
Multimodalni AI dijagnostički agent koji provodi klinička razgovora i tumači medicinske slike za točne dijagnoze.

AMIE (Articulirana Medikalna Intelektualna Eksploreatorica) je istraživački AI dijagnosticni agent razvijen od strane Google DeepMind i Google Research-a. Osnovna namjena AMIE je voditi kliničke rasprave i tumačiti medicinske snimke kako bi se postigli ispravni dijagnozi. Po početnoj inačici, AMIE je bio tekstualni medicinski dijagnosticni konverzacijom AI agent objavljen u Nature-u. Najnoviji napredak, multimodalno podešeni AMIE, omogućava inteligentno pozivanje, tumačenje i računanje vizualne medicinske informacije tijekom kliničkih rasprava. Ovaj razvoj cilja poboljšati dijagnostičku točnost uključivši multimodalne podatke, kao što su slike i dokumenti, u proces dijagnostike. AMIE koristi sustav za razumu koji se spoznaje u stanju i građen je na multimodalnoj modelu Gemini. Prošao je evaluaciju stručnjaka uključujući objektivne struktuirane kliničke ispitivanja (OSCE) koji upoređuju njegovu učinkovitost s osnovno opskrbne liječnike (PCPs) u raznim scenarijima bolesti ili zdravlja pacijenata.
- Multimodalna dijagnostička razgovorna platforma
- Tumačenje vizualne medicińke informacije
- Izvedeničan svjesti razumijevanja sustava
- Integracija s Gemini modelima
- Simulirana okolina za dijagnostičke razgovore

Company Status Agent
Istočno provjerite registraciju i aktivno stanje tvrtke širom svjetskih službenih registara u trenutku.

Company Status Agent je automatizirani algoritam za provjeru koji koristi umjetnu inteligenciju kako bi provjerio da li je firma službeno registrirana i trenutačno aktivna. On upita vjerodobne državne i korporativne registre širom svijeta, vraćajući jednostavni izvještaj o statusu u sekundama umjesto zahtjeva za rukom provedene pretrage po nekoliko jurisdikcija. Oružilačku prikuplja detalje o tvrtim u svrhu prove sljedećim radnim tokovima: provjere provedbilnosti, primjene propisa, integracije, procjene rizika. Time se ekipe mogu osigurati da provjeraju dobavitelje, partnera ili klijente prije činitegovoraca, otvaranja računa ili izražavanja kredita, smanjujući izloženost lažnim i kartelskim entitetima. Automatizirajući provjere u registru, olakšava procese KYB (Znanje svoje poslovnosti) i omogućava profesionalcima konstantan način potvrditi pravno sjednocení preko granica.
- Snažiočno opremljen AI za pretraživanje registra
- Kovri žarište pokrivanja nad globalnim državnim jurisdikcijama
- Spremnost aktivnih protiv nepostupne statusne provjere
- Identifikacija i provjera identiteta tvrtke
- Uspješnost u skladu s pravnim pretpostavkama i onboarding podrezom
- Brzi zahtjevi za preuzimanje odmah

THEUS (Aigora)
Enterprise AI research system that turns proprietary studies into traceable insights with fact IDs, citations, and expert avatars for synthesis.

THEUS is an enterprise AI research system that transforms proprietary studies into traceable insights with fact IDs, citations, and expert avatars. It's built on Google's Agent Development Kit (ADK) and uses bidirectional modeling for data-grounded knowledge agents. Users can extract, synthesize, and explore their research data, and every claim is backed by a specific Fact ID with page-level citations. THEUS offers two ways to explore: generating new insights with Dr. Reed or analyzing existing knowledge with Dr. Sinclair. This platform is designed for VPs of Insights, Global Sensory Leads, and Innovation leaders evaluating strategic capability build-out. It uses a purpose-built research methodology, not generic enterprise AI, and creates data-grounded knowledge agents trained on actual institutional data. With 85% of new products failing within two years (Nielsen), evidence-grounded exploration dramatically improves decision quality. THEUS offers a solo seat, which includes features such as up to 30 documents ingested per month, up to 1,500 pages parsed per month, and up to 500 questions to Dr. Sinclair per month. One of the key benefits of THEUS is its ability to turn decades of proprietary data into traceable, decision-ready intelligence with AI-powered knowledge agents.
- Extract, synthesize, and explore research data
- Generate new insights with Dr. Reed or analyze existing knowledge with Dr. Sinclair
- Bidirectional modeling for data-grounded knowledge agents
- Connect product and consumer knowledge for bidirectional insight
- Supports cross-study synthesis and research gap analysis
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