Building the future of AI-powered scientific research
We're building AI co-scientists and engineers that accelerate discovery and development. Our fully end-to-end platform combines the best of our open source tools into a powerful multi-agent system—no setup required.
Our flagship product integrates all our open source tools into a cohesive, hosted platform:
- ✅ Fully end-to-end — From hypothesis to publication
- ✅ Multi-agent system — Specialized AI agents working together
- ✅ Zero setup — Start immediately in your browser
- ✅ Free to start — No credit card required
- [Public Health] Understanding air pollution patterns enables data-driven public health interventions to protect respiratory health
- [Oncology] Identifying molecular vulnerabilities in triple-negative breast cancer to accelerate drug discovery for patients lacking targeted therapies
- [Drug Discovery] Computational screening of natural products to combat antimicrobial resistance and accelerate antibiotic discovery
- [Immunology] Investigating sex-based differences in immune responses when dataset constraints require adaptive analysis approaches
- [Bioinformatics] Reproducing cutting-edge cancer research by predicting malignancy from platelet RNA sequencing data
- [Oncology] Analyzing chemotherapy resistance mechanisms in breast cancer using publicly available clinical trial data
- [Astrophysics] Prioritizing exoplanets for habitability assessment to focus telescope time on the most promising targets
- [Network Science] Using network science to understand how mathematical knowledge flows between research communities
- [Physics] Machine learning approaches to improve turbulence modeling for aerospace, energy, and environmental engineering
- [Biotechnology] Computational metabolic modeling to design sustainable bio-based production of industrial chemicals
- [Finance] Mapping the competitive landscape of GLP-1 therapeutics to identify market opportunities in a $50B+ space
- [Climate Tech] Identifying early-stage carbon dioxide removal investment opportunities by triangulating grants, patents, and academic output
- [Proteomics] Demonstrating AI's ability to translate natural language research requests into complete proteomics analysis pipelines
- [Personal Finance] Optimizing complex travel loyalty programs to maximize value across work and personal travel patterns
- [Clinical Medicine] Identifying prognostic biomarkers for sepsis mortality to enable early intervention in ICU patients
- [Biomedical Engineering] Analyzing ICD adverse events to reveal failure patterns and inform safer medical device design
- [Digital Health] Developing HRV-based biomarkers for wearable stress detection and digital health applications
- [Biomaterials] Connecting biodegradable polymer chemistry to clinical outcomes for next-generation orthopedic implants
- [Oncology] Identifying rational drug combinations to overcome EGFR inhibitor resistance in lung cancer
- [Geopolitics] Analyzing geopolitical and geological factors for strategic investment in renewable energy metals
- [Healthcare] Combining patient education with evidence-based provider recommendations for informed medical decision-making
- [Genetics] Testing whether longevity genes encode metabolic rate-limiting enzymes amenable to therapeutic intervention
- [Biochemistry] Investigating the molecular basis of holiday spices' warming effects and traditional health benefits
- [Nutrition] Debunking the turkey-tryptophan myth and revealing the true biochemistry of post-holiday drowsiness
- [Intellectual Property] Systematically identifying prior art vulnerabilities in pharmaceutical patents for IP litigation strategy
- [Drug Discovery] Discovering overlooked drug targets with strong genetic validation to improve R&D success rates
- [Medicinal Chemistry] Computationally rescuing kinase inhibitors from cardiac toxicity liability through targeted structural modifications
- [Astrobiology] Prioritizing exoplanets for JWST biosignature detection to maximize chances of finding extraterrestrial life
- [Nanomedicine] Predicting nanoparticle protein corona composition to enable rational nanomedicine design
- [Neuroscience] Enabling wearable-triggered brain stimulation by predicting neural states from peripheral autonomic signals
- [Oncology] Developing transcriptional adiposity signatures to predict breast cancer clinical outcomes
- [Economics] Analyzing Indian census data to understand demographic contributions to GDP and formulate a contextual happiness index
- [Cardiology] Predicting heart disease presence using multiple ML models with health economics cost analysis
Built with ❤️ for the scientific community
