Gradies.ai is building the AI research companion for the next generation of scientists and students. We believe that if we can reduce the time it takes to find and understand the truth, we can accelerate human progress.
From a simple script to a platform powering thousands. A timeline of innovation.
2024
We identified a fundamental signal-to-noise failure in academic retrieval. Existing engines maximized click-through rates, while we optimized for knowledge acquisition and truth alignment.
Q1 2025
Developed our proprietary Retrieval-Augmented Generation (RAG) core, utilizing specialized planner and synthesizer agents to parse unstructured PDF data into structured insights.
Q3 2025
Deployed to a controlled group of PhD researchers. Feedback loops refined our hallucination-prevention algorithms and citation-integrity protocols to 99.9% accuracy.
Q4 2025
Public release featuring domain-specific inference modes (Literature, Molecules, Gaps), enabling high-fidelity research synthesis for the global scientific community.
Q1 2026
Evolution from passive search to active reasoning. Agents will independently propose hypotheses, design in-silico experiments, and predict outcomes based on aggregated literature.
Building the foundation for autonomous research.
2024
Gradies.ai begins as a hypothesis: Can LLMs be constrained to absolute truth?
Q3 2025
First 100 PhD users confirm that 'citation-backed synthesis' drastically reduces literature review time.
Q4 2025
We scale our knowledge graph to index millions of papers, serving accurate insights at global scale.
Q1 2026
Deployment of autonomous researcher agents capable of independent hypothesis generation.
Researchers building for researchers.

Co-Founder & CTO
Expert in large language models and retrieval systems. Obsessed with hallucination-free citations.
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Co-Founder & Business Development
Building the business strategy and partnerships for Gradies.ai.
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Co-Founder & Head of AI
Turning complex multi-agent workflows into a simple, beautiful interface for students and educators.
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Co-Founder & Head of Cybersecurity
Expert in cybersecurity and data privacy. Building the secure foundation for our platform.
View on LinkedInPrinciples that guide our algorithms and our culture.
We prioritize accuracy and citations over fluency. If the AI doesn't know, it should say so.
Democratizing access to complex scientific knowledge for students and lifelong learners.
We empower the people building the future—scientists, engineers, and policymakers.
AI handles the drudgery of reading; humans handle the creativity of synthesis.
We're looking for engineers and researchers who care deeply about truth, citations, and user experience.