The
era
of
agentic
science
is
here
We reimagine scientific research by automating hypothesis generation and validation at scale.
Powered by multi-agent AI systems and knowledge graphs, we transform how discoveries are made, pushing the boundaries of what’s possible in science.
Powered by multi-agent AI systems and knowledge graphs, we transform how discoveries are made, pushing the boundaries of what’s possible in science.
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[How it works]RESEARCH PROPOSAL GENERATION AT SCALE
01
GATHERA swarm of AI agents scours the internet, extracting and filtering scientific data to retain only the most relevant and valuable insights.
02
STOREThe collected data is integrated into domain-specific Knowledge Graph, enabling clear representation of complex scientific relationships and hypothesis generation.
03
REFINEAI filters low-quality data, retaining only high-value information, while experts handle edge cases for a reliable dataset essential for a robust scientific exploration.
04
PRODUCEAgents autonomously generate hypotheses and research proposals from the knowledge graph, mirroring human scientific inquiry while ensuring rigor and creativity at scale.
05
HARVESTGenerated hypotheses undergo rigorous validation through automated testing, converting high-level ideas into testable statements, validating them efficiently at scale.
KEY FEATURES
- Knowledge Graph-Driven DiscoverySwarms of AI research agents map, organize, and interconnect scientific data into dynamic knowledge graphs. These structured insights fuel deeper analysis, hypothesis generation, and novel research breakthroughs.
- AI-Powered Research GenerationSpecialized AI agents traverse curated knowledge graphs to mine insights and refine hypotheses. By scaling test-time compute, these agents can debate and refine hypotheses into verifiable research proposals.
- AI x Human CollaborationAI-generated proposals undergo expert validation, ensuring rigor, novelty, and reliability. This recursive feedback loop enhances scientific quality, reducing bias while continuously refining research outputs.
- Toward a Scientific World ModelBuilding an open and continuously evolving scientific world model that integrates multiple scientific domains into a highly comprehensive structural representation of current knowledge.
BeeARD IN NUMBERS
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Projects in development
HypGen Infinity
Infinite Autonomous Research Generator designed to produce and validate scientific hypotheses at scale, advancing discovery through autonomous agents and knowledge-driven exploration.
PsyBee
AI system designed to accelerate psychedelic science and therapeutic discovery, fostering innovation by identifying missing links and uncovering novel connections within research.
BEEARD PARTNERS
