Technology Stack

The tools we use to deliver our projects.

Main knowledge areas

Machine Learning

Classification, Regression, Ranking, Survival Analysis, Anomaly Detection, Clustering, Semi-Supervised Learning, Active Learning

Deep Learning

Convolutional Neural Networks, Recurrent Neural Networks, Transformers, Transfer Learning, Multitask Learning

Computer Vision

Image classification, Object Detection, Image Segmentation

Natural Language Processing

Text Classification, Named Entity Recognition, Text Summarization, Text Generation

Recommender Systems

Collaborative Filtering, Content-based models, Basket Analysis

Optimization

Linear & Integer Programming, Metaheuristics

Forecasting

Uni & Multivariate time series forecasting, anomaly detection

Technical tools

We cover a comprehensive range of tools. Below, we showcase some of the tools we use on a daily basis. In case you are using a different stack, contact us to validate if we can cover it.

Programming languages

The languages we use to speak with our machines on a daily basis.

Python
R
Data Analytics

Core analytics tools we use to bring intelligence to our projects.

Tensorflow
Keras
Pytorch
Scikit-learn
XGBoost
PySpark
Spacy
NLTK
OpenCV
HuggingFace
GPT3
RapidCanvas
Data Visualization

Numbers are hard to understand, they need to shine with a story.

Matplotlib
Seaborn
Plotly
Streamlit
Databases

Information needs to be preserved. We handle a wide variety of databases to transform raw data into actionable knowledge.

PostgreSQL
MongoDB
BigQuery
Hive
SQL Server
Snowflake
Operations

From conceptual consulting to production code, we handle a wide set of tools to bring your project to live.

Git
Docker
DVC
Jenkins
Apache Airflow
Prefect
FastAPI
Flask
Neptune.ai
MLFlow
Cloud & Edge

On the cloud, premises, or on the edge. You name it. Some environments we have used to deploy our projects.

AWS
GCP
Azure
Google Coral
Nvidia Jetson
Raspberry Pi
Intel Neural Compute Stick

Want to know how we are using these technologies in our projects?

Article
Five Years Helping Entrepreneurs Embrace AI

We celebrate the 5th anniversary of NILG.AI with immense pride and gratitude. Over the years, we’ve embarked on a transformative journey, and today, as we commemorate this milestone, we want to take a moment to reflect on our accomplishments and share our exciting plans for the future. NILG.AI Fifth Anniversary: A Year of Remarkable Achievements […]

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Article
Classifying text using LLMs

  Text classification is one of the most common use cases in Natural Language Processing, with numerous practical applications – now easier to access with Large Language Models. Companies use text classification in multiple scenarios to become more efficient: Tagging large volumes of data: reducing manual labor with better filtering, automatically organizing large volumes of […]

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Article
NILG.AI will be at the Iqony Technology Days 2023

Innovation drives the future of the industry, and at NILG.AI, we’re committed to leading this charge. Therefore, we’re excited to announce our participation in the upcoming Iqony Technology Days 2023, scheduled for this September in Brühl, Cologne. Our enthusiasm is fueled by our recent victory in the Hands On Data (HOD) challenge earlier this year.  […]

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