Every second counts.

Fast and correct systems. Precise and verifiable results.

Microsoft for Startups • OVH Startup Program • McGill Dobson X-1 • IVADO Scientist in Residence

Our engineers have made an impact on the world

A few humble brags never hurt anyone, right?

2025Case study

Low-Resource Language Translation

Translation systems for low-resource languages with community-driven quality improvements.

2025Case study

Food Detection & Nutrition Prediction

ML models for detecting foods and predicting calories and nutrients from images.

2025Case study

Boosting Classroom Engagement with Generative AI

A web‑based tool that turns plain‑language prompts into interactive, curriculum‑aligned learning activities in seconds.

Normav1.0
Turn raw warehouse tables into clean, leakage-safe datasets. No more manual feature engineering, unclear join paths, or guessing which tables matter.
Bridgev1.4.14
Find what you need before you even know it. Combines multiple modalities, novel search algorithms, and outperforms single state-of-the-art retrievers in popular benchmarks.
Mesh [WIP]v0.2.71
Integrate various compute backends for federated paradigms. Designed especially for tensor operations and integrates into frameworks like PyTorch, GGML, and TinyGrad.

We offer a range of services designed to elevate your business. Here's a sneak peek of how we can help you achieve your goals.

Custom AI Solutions. We understand the unique needs of each client. We create tailored AI solutions, including NLP, computer vision, and predictive analytics, to meet your specific business challenges.
Model Development. Our team of expert data scientists and machine learning engineers specialize in developing state-of-the-art models using frameworks like TensorFlow, PyTorch, and Scikit-learn.
Data Preparation and Visualization. We clean, normalize, and transform raw data into meaningful and usable formats, to ensure high-quality datasets for model training and clear visualizations.
Deployment. At the end of the day, we're practitioners with experience in deploying machine learning models into production, offering scalable and efficient solutions with various cloud platforms.