engineering capabilities

Foundation AI’s team is fluent in all the usual languages, platform, tools, and software stacks. We’re always looking for new tricks and tools to excel. Where they don’t exist, we build them. We’ve listed out the technology we prefer to use when building solutions, but even if you don’t see a tool or technique here, chances are we use it.


AI & ML Libraries / Frameworks

  • TensorFlow

  • MXNet

  • Caffe2

  • Theano

  • PyTorch

  • Keras

  • Microsoft Cognitive Toolkit

  • Microsoft Azure ML

  • Amazon Rekognition

  • Amazon Sagemaker

  • DeepLearning4J

  • Neo4j

AI & ML TECHNIQUES

  • Convolution Neural

  • Networks

  • Recurrent Neural Networks

  • LSTM

  • GRU

  • Deep Attractor Networks

  • Clustering techniques

  • Ensemble Learning

  • Auto Encoders

  • Hidden Markov Chain

  • Generative Adversarial

  • Networks

  • Belief Networks

  • Reinforcement Learning

PROGRAMMING LANGUAGES

  • Python

  • Java

  • JavaScript

  • Scala

  • C

  • C++

  • R

  • SAS

  • SQL

Database

  • Hadoop

  • Hive

  • NoSQL

  • Cassandra

  • Sqoop

  • MS SQL

  • MySQL

  • PostgreSQL

Data Visualization

  • Tableau

  • Qlik

  • PowerBI

  • Pentaho

  • SpagoBI

  • SAS BI

  • Metabase

  • Superset

DEVOPS

  • Microsoft Azure

  • Amazon AWS

  • Google Cloud

  • On-premise servers

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