AI Research Lab
Building AI that solves real problems
We are a research-driven team working on open and responsible AI.
About us
We are a small team of researchers, engineers, and designers working on practical AI systems.
View Open Source Projects
AI Research in action
A closer look at the innovations driving our work forward.
AI for Document Understanding
- Extract key insights automatically
- Reduce manual work
AI safety and model behavior
- Study model decisions
- Reduce harmful outputs
Lightweight AI models
- Faster response time
- Works on low-resource systems
Open Source Tools
Tools you can use
We believe AI should be open and accessible. These are some tools we've built for developers and researchers.
Tech stack
PythonPandasNumPy
A powerful toolkit designed to simplify data preprocessing.
Tech stack
PythonPyTorchPytest
A tool to test and evaluate AI models before they ship.
Tech stack
PythonPyTorchONNX
A lightweight training framework for small AI models.
Data clean kit
Streamline and prepare datasets for reliable AI development.
Easy to use
Works with large datasets
Saves time in preprocessing
Model check
A tool to test and evaluate AI models.
Check performance
Find errors
Improve results
Fast train lite
A lightweight training framework for small AI models.
Quick setup
Lower compute cost
Great for experiments
Our research papers
We regularly publish our findings to share knowledge with the community.
Meet the team
Led by proven builders
A group of people who care about building useful AI.
Dr. Emily Carter
Research Lead
James Walker
AI Engineer
Sophia Müller
Data Scientist
