Our job is to help grow the product from prototype & MVP
to production at planet-scale.

Many of our clients already have their back end selections locked. We help them deploy on their cloud platform. We then work with each client's needs; Node.js back ends, many different SQL and NoSQL databases, and Elasticsearch.

Amazon, Azure and on-premises / hybrid clouds are all familiar to us.

If we choose a cloud platform for a project ourselves, we use the fully managed Google Cloud Platform.

Serverless

This frees up the developers to focus on delivering great products. We can grow from prototype to planet-scale with excellent capacity, reliability, and performance.

We typically use Redis, MongoDB or Google's Cloud Datastore, BigQuery, Cloud Pub/Sub, Cloud Storage, App Engine, Cloud Functions and Firebase.

For machine learning and AI, we use the many Cloud AI solutions, Tensorflow and Keras.