Gradies.ai AI-Powered
Research Platform
Multi-agent AI that searches academic databases, reads papers, verifies citations, and synthesizes structured research reports for scientists and innovators.
Trusted people works at
FOUR MODESONE WORKFLOW
Analysis Mode
Find datasets, methods, and statistical approaches for your project or thesis experiment.
Research Gaps Mode
Scan recent work to see what's missing, under-explored, and where future papers can go.
Molecules Mode
Explore molecules, properties, and design ideas grounded in existing scientific literature.
From search to understanding.Powered by collaborating AI agents
Behind every answer, Gradies.ai coordinates planner, query-enhancer, retrieval, and synthesizer agents. They search trusted sources, read the papers, and return a single structured explanation with citations you can trust.
Literature Companion
For students & PhDs
Literature Companion
For students & PhDs
Move from a single question to a structured literature overview with themes, key papers, and citations.
- Summarizes dozens of papers into one coherent answer
- Highlights seminal and recent work with authors & years
- Suggests follow-up questions and sections for your review
Research Gap Finder
For early-career researchers
Scan recent work to see what's under-explored so you can position a sharper, more original project.
- Maps out what is well-studied vs. thinly covered
- Surfaces open questions and under-served subtopics
- Helps shape thesis topics, proposals, and grant ideas
Methods & Datasets Scout
For builders & analysts
Find practical ingredients for your project: datasets, methods, and evaluation approaches in one place.
- Lists public datasets and where they are used
- Summarizes common models, baselines, and metrics
- Connects methods back to the original papers
Teaching & Supervision Assist
Research Agent
Keep courses, reading lists, and student guidance aligned with the latest credible research.
- Surfaces recent, relevant, and highly cited papers
- Suggests topic overviews and reading sequences
- Helps design prompts, projects, and discussion angles
HOW IT WORKS
BUILT FOR REAL RESEARCH
NOT JUST BROWSING
Advanced Neural Architecture for Multi-Modal AI Systems
We present a novel neural architecture that enables seamless integration of text, vision, and audio modalities, achieving state-of-the-art performance in cross-modal retrieval tasks.
Understanding Large Language Models in Low-Resource Settings
This paper explores the capabilities and limitations of LLMs when trained and fine-tuned on low-resource languages, proposing efficient adaptation through meta-learning.
Ethical Considerations in Generative AI Deployment
A comprehensive framework for evaluating bias, fairness, and safety in generative AI models prior to large-scale deployment in consumer applications.
Optimizing Transformer Inference at Scale
We introduce a set of optimization techniques for reducing latency and memory footprint of Transformer models during inference without sacrificing accuracy.
Advanced Neural Architecture for Multi-Modal AI Systems
We present a novel neural architecture that enables seamless integration of text, vision, and audio modalities, achieving state-of-the-art performance in cross-modal retrieval tasks.
OUR
APPROACH
CLIENTSUCCESS STORIES
Before Gradies, my literature review was a mess of 50+ open tabs and scattered PDFs. I spent more time organizing than reading. Now, I have a single, structured timeline of every paper relevant to my thesis, with AI synthesizing the connections I missed.
SARAH L., PHD CANDIDATE, NEUROSCIENCE
Hallucinations in LLMs made me skeptical of AI tools. Gradies changed that. Its 'citation-first' approach means every claim is backed by a real paper I can verify instantly. It finding research gaps I didn't know existed.
DR. JAMES C., POSTDOC RESEARCHER, ML
Managing a lab of 15 students meant constant duplication of effort. Gradies gave us a shared knowledge base where we can see what everyone is reading and thinking. It turned our isolated research into a collective intelligence engine.
PROF. ELENA R., LAB DIRECTOR, BIOINFORMATICS
Before Gradies, my literature review was a mess of 50+ open tabs and scattered PDFs. I spent more time organizing than reading. Now, I have a single, structured timeline of every paper relevant to my thesis, with AI synthesizing the connections I missed.
SARAH L., PHD CANDIDATE, NEUROSCIENCE
FAQs
Gradies isn't just a chatbot that predicts the next word. It's a multi-agent system that acts like a human researcher: planning a search strategy, reading actual academic papers, verifying every claim, and synthesizing an answer with citations that point to real, existing research.