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Frontier Science
through Responsible AI.
Pushing the boundaries of scientific discovery with safe, responsible AI. Our mission is to develop advanced AI models and agents designed to accelerate progress and unlock new discoveries in science.
Introducing: ArXivDLInstruct
A new open-source dataset designed for instruction tuning on Python research code.
ARIA Benchmarks
A set of benchmarks evaluating machine learning knowledge in advanced AI models.
Our mission is to create agentic tools that push the boundaries of innovation, while keeping AI safety at the core of our research and development process. We focus on building AI agents that can systematically analyze, test, and contribute to AI research processes.
Our Team
Our team brings extensive experience in deploying machine learning models and conducting AI research. We’ve worked at leading organizations like Apple, Adobe, and EY, and advanced research at Duke University and Northwestern University. This blend of industry and academic expertise fuels our innovative AI solutions.
AI Safety & Evaluation
Our research philosophy prioritizes responsible AI development, acknowledging its growing capability for conducting robust research.
Research
Our research focuses on developing AI agents for literature reviews, research synthesis, experimentation, analysis, and architecture enhancement.
Values
Foster an inclusive AI community by promoting collaboration, accessibility, and open-source innovation for greater efficiency.
Tailored Solutions
Custom AI agent consulting and implementation by our core development team.
Agent Strategy
Designing the right AI agent can make or break your project. Work with our AI experts to develop an effective strategy — whether that's task-specific agents, multi-agent systems, or hybrid human-AI workflows. We'll help you define agent goals, capabilities, and integration points to ensure you're building the right solution for your needs.
Knowledge Base Design
Effective AI agents need well-structured knowledge. Our team can help you develop comprehensive knowledge bases and information retrieval systems. We'll ensure your agents have access to the right information at the right time, improving their decision-making and task performance.
Agent Architecture Development
Most AI agent systems aren't just a single agent, but a collection of modular components that work together. We can help you develop and configure your agent architecture, incorporating best practices and design patterns for scalability, maintainability, and performance.
Performance Optimization
AI agent behavior can be complex and require significant tuning. Our optimization experts can help you evaluate and enhance your agents' performance through continuous learning, feedback loops, and advanced metrics. We'll work with you to define KPIs, implement monitoring systems, and iteratively improve your agents' capabilities
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