Elicit is an AI research assistant that accelerates scientific literature review through automated paper discovery, summarization, and insight extraction. The platform applies natural language processing to identify relevant research, extract key findings, compare methodologies, and highlight contradictions across studies, significantly reducing the time required for comprehensive literature analysis while enhancing research quality.
Consensus is an AI-powered search engine specifically designed for scientific research that provides evidence-based answers drawn directly from peer-reviewed studies. The platform uses advanced natural language processing to analyze millions of academic papers, extracting claims, methodologies, and conclusions to deliver precise scientific answers with direct citations, enabling users to rapidly explore research evidence across disciplines.
Labguru AI enhances laboratory research by integrating artificial intelligence into the entire experimental workflow. This platform enables predictive experiment design, automated protocol optimization, intelligent data analysis, and machine learning-driven insights from experimental results. By leveraging AI throughout the research cycle, Labguru significantly improves reproducibility, accelerates discovery, and maximizes the value of laboratory data across life sciences.
SciSpace is a comprehensive AI-powered research platform that transforms how researchers discover, read, and understand scientific literature. The system intelligently connects papers, authors, and concepts while providing powerful features like simplified explanations of complex research, interactive figure analysis, and personalized research recommendations, creating an enhanced reading and discovery experience across the scientific literature landscape.
Iris.AI is an artificial intelligence engine that helps researchers navigate the scientific literature landscape through conceptual search and automated research mapping. The platform uses natural language processing to understand research questions, identify relevant scientific documents across disciplines, generate comprehensive knowledge landscapes, and extract key insights from papers, dramatically reducing the time required for literature exploration and synthesis.
scite.ai is an intelligent citation analysis platform that evaluates the quality and context of scientific citations. Using machine learning and natural language processing, the platform analyzes how papers are cited, classifying citations as supporting, contrasting, or mentioning, providing researchers with critical context about scientific claims and enabling evidence-based evaluation of research reliability and impact beyond traditional citation metrics.
BenchSci is an AI-powered platform that decodes scientific literature to help researchers find and apply the most appropriate reagents and experimental methods. The system uses machine learning to extract experimental context and results from millions of published papers, enabling scientists to quickly identify validated antibodies, compounds, and protocols for their specific research applications, ultimately accelerating laboratory research while reducing failed experiments.
Semantic Scholar is an AI-powered research tool that uses machine learning to analyze scientific papers, extract meaning, and provide intelligent search capabilities across millions of academic publications. The platform identifies key concepts, influential citations, and research connections while delivering personalized paper recommendations and research trend insights, enabling researchers to navigate the exponentially growing scientific literature with unprecedented efficiency and insight.
Litmaps is a visual literature mapping tool powered by artificial intelligence that helps researchers discover, organize, and visualize scientific papers and their connections. The platform generates interactive citation maps, identifies research gaps, creates personalized monitoring systems for new publications, and enables collaborative literature reviews, providing an intuitive visual approach to navigating complex research landscapes and accelerating scientific discovery.
ResearchRabbit is an AI-powered literature discovery and monitoring system that automatically creates personalized research collections based on a user's interests. The platform builds intelligent paper networks, identifies academic communities, delivers timely alerts about new relevant publications, and enables serendipitous discovery across disciplines, helping researchers stay current with literature while uncovering unexpected connections beyond their immediate field.
Octopus is a revolutionary scientific publishing platform that uses AI to transform how research is shared and evaluated. The system breaks down traditional research papers into smaller, interconnected modules (problems, methods, results, interpretations) that can be individually published, peer-reviewed, and credited, enabling more rapid dissemination of findings, reduction in publication bias, and creation of a more transparent and collaborative scientific ecosystem.
AI Labs Molecule is a deep learning platform for drug discovery that accelerates pharmaceutical research by predicting molecular behavior, optimizing chemical compounds, and identifying promising drug candidates. The system employs sophisticated neural networks to simulate molecular interactions, generate novel structures with desired properties, and forecast potential efficacy and toxicity profiles, significantly shortening the early stages of drug development and reducing costs.
SciWhiz is an AI-driven research assistant that transforms complex scientific concepts into accessible explanations and visualizations. The platform analyzes research papers, textbooks, and scientific data to create intuitive interactive models, simplified explanations, and knowledge graphs that make advanced scientific concepts more approachable for students, educators, and researchers from different disciplines, democratizing scientific knowledge and facilitating interdisciplinary understanding.
NeuronVision is an advanced AI platform for neuroscience research that automates brain imaging analysis, neural circuit mapping, and behavioral correlations. The system employs deep learning algorithms to process and analyze diverse neuroimaging data, identify cellular structures, trace neural connections, and correlate brain activity with behavior, empowering neuroscientists to extract deeper insights from complex neural data while significantly reducing analysis time.
GenomeForge is a comprehensive AI platform for genomic research that automates sequence analysis, gene function prediction, and variant interpretation. The system leverages advanced machine learning to identify patterns in genetic data, predict phenotypic impacts of genetic variations, design precise gene editing strategies, and integrate multi-omics data, accelerating genomic research from basic science to clinical applications while improving accuracy and reproducibility.
ClimatePulse is an AI research platform dedicated to climate science that processes vast environmental datasets, improves climate models, and generates actionable insights. The system combines earth observation data, historical climate records, and simulation outputs using advanced neural networks to detect climate patterns, enhance predictive accuracy, identify regional climate vulnerabilities, and evaluate mitigation strategies, supporting evidence-based climate research and policy development.
QuantumLab is an AI-enhanced quantum research platform that accelerates quantum computing experiments, algorithm development, and theoretical explorations. The system combines machine learning with quantum simulation capabilities to optimize quantum circuits, predict quantum system behaviors, discover novel quantum algorithms, and translate between classical and quantum computing paradigms, dramatically reducing the complexity of quantum research and expanding access to this cutting-edge field.
SpaceDiscovery is an AI-powered astronomical research platform that analyzes vast telescope datasets, identifies celestial phenomena, and accelerates cosmic discoveries. The system employs computer vision and pattern recognition to process astronomical imagery, detect celestial objects, classify galaxies, identify exoplanet candidates, and predict astronomical events, enabling astronomers to explore the universe more efficiently and democratizing access to advanced astronomical research capabilities.
SyntheticBio is a comprehensive AI platform for synthetic biology research that revolutionizes genetic circuit design, metabolic engineering, and biological system optimization. The system employs machine learning algorithms to predict gene interactions, design efficient biological pathways, optimize protein functions, and simulate synthetic organism behaviors, accelerating the development of engineered biological solutions for pharmaceutical, agricultural, and industrial applications.
ProteinIQ is an advanced AI platform for structural biology that predicts, analyzes, and designs protein structures with unprecedented accuracy. The system combines deep learning algorithms with biophysical modeling to determine protein folding patterns, simulate protein-protein interactions, optimize protein stability, and design novel proteins with specific functions, revolutionizing drug discovery, enzyme engineering, and therapeutic protein development.
StatForge is an AI-powered statistical analysis platform designed specifically for scientific research that transforms complex data analysis workflows. The system employs machine learning to automate statistical model selection, identify hidden patterns, detect potential confounding variables, optimize experimental design, and generate intuitive visualizations, enabling researchers with various levels of statistical expertise to conduct rigorous analyses while avoiding common pitfalls and improving scientific reproducibility.
RoboticLabs is an AI-driven platform that revolutionizes laboratory automation and robotic research systems. The platform employs machine learning to optimize experimental workflows, control laboratory robots, analyze real-time experimental data, and autonomously adapt protocols based on emerging results. This system enables the creation of self-optimizing laboratories that can run complex experimental campaigns with minimal human intervention, dramatically increasing research throughput while reducing experimental variability.
MedResearch AI is a comprehensive platform for medical and clinical research that employs artificial intelligence to transform health data into actionable scientific insights. The system integrates and analyzes diverse medical data sources, identifies potential biomarkers, optimizes clinical trial designs, predicts patient responses, and extracts patterns from health records while maintaining strict privacy standards, accelerating the translation of medical research into clinical applications.
NanoScience Explorer is an AI-powered platform dedicated to nanoscale research that revolutionizes how scientists explore, visualize, and manipulate nanomaterials. The system combines machine learning with advanced simulation capabilities to predict nanomaterial properties, design novel nanostructures, optimize nanofabrication processes, and analyze nanoscale imaging data, enabling breakthroughs in nanotechnology across electronics, medicine, energy, and materials science applications.
OceanSense is an AI-driven marine research platform that transforms oceanographic data collection, analysis, and modeling. The system integrates data from autonomous underwater vehicles, satellite observations, acoustic sensors, and historical records, using machine learning to improve ocean circulation models, track marine species, predict ecosystem changes, and monitor ocean health indicators, providing marine scientists with unprecedented insights into oceanic processes and supporting conservation efforts.
ArchaeoAI is an innovative platform that applies artificial intelligence to archaeological research, heritage preservation, and ancient civilization studies. The system employs computer vision to analyze archaeological artifacts, ground-penetrating radar data, and satellite imagery, while using machine learning to reconstruct ancient structures, translate historical texts, and model past cultural developments, transforming how researchers understand human history and preserving cultural heritage.
ToxiScreen is an advanced AI platform for toxicology research that predicts compound toxicity profiles without traditional animal testing. The system employs deep neural networks trained on extensive biological data to simulate chemical interactions with cellular targets, forecast potential adverse effects across organs and systems, model toxicokinetics, and evaluate environmental impact, accelerating pharmaceutical development while promoting ethical research practices and regulatory compliance.
PaleoNet is a specialized AI research platform for paleontology and evolutionary biology that transforms fossil analysis, species identification, and evolutionary modeling. The system applies deep learning to fossil imagery for taxonomic classification, reconstructs extinct species appearances, models evolutionary relationships, simulates paleoenvironments, and analyses ancient DNA, providing unprecedented insights into Earth's biological history and supporting museum collections and field expeditions.
ImmuneDesigner is a cutting-edge AI platform for immunology research that accelerates vaccine development, immunotherapy design, and autoimmune disease understanding. The system applies machine learning to analyze immune system interactions, predict antigen responses, optimize vaccine epitopes, model immune system dynamics, and simulate immunotherapy outcomes, dramatically enhancing the efficiency of immunological research and supporting the development of precision immunological interventions.
Meta AI is at the forefront of AI research and development, driving innovation in fields such as natural language processing, computer vision, and conversational AI. With a commitment to open research and collaboration, Meta AI develops technologies that enhance user interactions, improve content accessibility, and facilitate more natural and efficient communication across digital platforms.
ResearchRabbit is an AI-powered research assistant that helps scientists and researchers organize and prioritize their research papers, collaborate with colleagues, and stay updated on the latest research in their field. The platform uses machine learning to analyze research papers and provide personalized recommendations.
Scite is a smart citation index that uses AI to evaluate how scientific papers cite each other. It classifies citations as supporting, mentioning, or contrasting, helping researchers quickly understand the credibility and impact of findings.
Connected Papers is a visual tool for discovering and exploring academic papers. It builds a graph of related research, helping scholars understand the context and evolution of ideas within any scientific field.
Galactica is a large language model for science developed by Meta AI. It's trained on scientific literature and designed to assist with citations, concept explanations, and hypothesis generation in scientific domains.
Kagi is a premium search engine enhanced by AI to deliver curated, research-oriented results. With tools like LLM-powered summaries and topic clustering, it helps researchers cut through noise and find relevant information faster.
Raycast AI extends the Raycast productivity tool with powerful AI features, including scientific search, summarization, and task automation—all directly from your desktop command bar.
Plantix is an AI-powered mobile application that enables farmers to identify plant diseases, pests, and nutrient deficiencies through image recognition technology. By simply taking a photo of affected crops, the system provides instant diagnosis with precision accuracy, detailed treatment recommendations, and preventative measures tailored to local conditions, helping farmers reduce crop losses and optimize resource usage while building a global plant health database.
Taranis is an advanced precision agriculture intelligence platform that combines high-resolution aerial imagery with sophisticated AI algorithms to detect early-stage crop threats and field issues. The system captures submillimeter imagery using drones and planes, analyzes millions of data points to identify emerging diseases, pests, weeds, and nutrient deficiencies at their earliest stages, and provides actionable insights that enable timely, targeted interventions across vast agricultural operations.
aWhere is a comprehensive agricultural intelligence platform that leverages AI and weather science to deliver hyperlocal agricultural forecasting and recommendations. The system processes billions of data points daily from global weather stations, satellites, and historical models to create field-level weather intelligence, predictive agricultural analytics, and crop-specific recommendations that help farmers optimize planting, irrigation, fertilization, and harvesting decisions in the face of increasing climate volatility.
Prospera is an AI-powered agricultural intelligence system that transforms farm management through continuous crop monitoring and analysis. Using computer vision, data science, and agronomic expertise, the platform continuously scans fields via sensors and cameras, automatically detecting diseases, nutrient deficiencies, irrigation issues, and pest pressures while providing actionable insights that optimize inputs, increase yields, and improve sustainability across diverse growing operations.
FarmWise is a pioneering agricultural robotics platform that combines advanced computer vision with precision mechanical systems to automate weeding and crop care tasks. The AI-driven robots autonomously navigate fields, identify individual crop plants and weeds with remarkable accuracy, and perform precise mechanical weeding operations that eliminate the need for herbicides, reducing chemical usage while improving crop yields, sustainability, and farm economics in labor-constrained environments.
Agrivi is a comprehensive farm management platform enhanced with AI capabilities for data-driven agricultural decision-making. The system combines field operations tracking, inventory management, and financial analysis with intelligent crop planning, predictive analytics for yield forecasting, pest and disease modeling, and weather impact assessment, enabling farmers to digitize their entire operation while leveraging artificial intelligence to optimize productivity, profitability, and sustainability.
Farmers Edge is an integrated precision agriculture platform that combines IoT sensors, satellite imagery, and advanced AI to deliver comprehensive field-level intelligence. The system collects and processes data from weather stations, soil moisture probes, equipment telematics, and daily satellite imagery to provide field-centric analytics, variable rate prescriptions, predictive modeling, and automated crop health alerts that drive smarter farming decisions across millions of acres worldwide.
Blue River Technology's See & Spray system is a revolutionary precision spraying platform that uses computer vision and machine learning to identify individual plants in the field and make instant spraying decisions. The AI-powered technology distinguishes between crops and weeds in real-time, precisely applying herbicides only to weed targets while avoiding crop plants, reducing chemical usage by up to 90% while maintaining effective weed control and promoting more sustainable, economical crop production practices.
CropIn is a comprehensive agricultural intelligence platform that leverages AI, satellite monitoring, and weather analytics to digitize farm operations and enable data-driven decision making. The system provides farm-to-fork traceability, advanced crop advisory, risk mitigation, supply chain management, and sustainability monitoring across millions of acres globally, helping agribusinesses, governments, and development organizations maximize productivity, ensure food security, and promote climate-resilient farming practices.
Climate FieldView is a comprehensive digital agriculture platform that combines field data collection, visualization tools, and AI-powered analytics to optimize farming decisions. The system seamlessly integrates with farm equipment to capture planting, application, and harvest data while incorporating satellite imagery, soil information, and weather analytics to generate field performance insights, prescriptive planting recommendations, and crop health monitoring that drive increased productivity and sustainability across farming operations.