oscar

oscar

About

Advanced analytics used easily in a conversation

• Talk to your database like a human: We use advanced natural language processing techniques to create world class conversational experience
• Get data insights like you never did before: It’s never been so easy to identify factors that impact customers’ engagement and revenue.
• Smart AI-based database understanding: No complex setup required It's never been so easy to get advanced statistics
• Inside your favorite messaging app: One-click integration with Twist gives you more time to do stuff that matters.

Tech

TL;DR Stackshare

Our app consists of four main parts:

• Backend; Here we use microservice based approach with services build using Golang and Python.
• DevOps; We use AWS EC2 as our infrastructure provider. All our microservices are running using supervisor to provide demonization and easy restart/logging access. We use AWS Route53 for DNS related things. Every app is running behind nginx reverse proxy.
• AI; We use two frameworks. CatBoost for Python implementing gradient boosting on decision trees with a native support of categorical features and GoML for Golang to perform sentiment analysis via Naive Bayes classification.
• Frontend; We have build responsive landing page using ES6/Bootstrap/jQuery

Built With

• catboost
• css
• go
• html
• javascript
• jupyter-notebook
• machine-learning
• python
• shell