Data Science Consulting & Tool Development

Sciligent’s approach to creating customized solutions to unique client problems is through leveraging various cutting-edge open-source data science tools while developing the programming code to bring these elements together in an environment that supports open-ended analysis of the client’s use cases. These methods include implementing algorithms found in the academic literature, operationalizing research-grade toolkits in a user environment, and developing customized dashboard interfaces for open-source data science platforms.

Data Visualizations

Use the most effective visualizations that best represent the data

Visualization Dashboards

Combine multiple visualizations into an efficient analytical view

Data Analytics Platform

Develop a complete system to manage, analyze and visualize your data

Our Toolkit

We develop solutions for our clients' unique problems by carefully selecting and then bringing together multiple open-source and proprietary tools in an integrated environment

Python

Open-source coding language

Superset

Open-source visualization and dashboard platform

Termolator

Open-source technical term extraction

Carrot2

Open-source semantic clustering

Docker

Container systems

Elasticsearch

Open-source database with enhanced search

Google Charts

Open-source web-based chart plotting

MALLET

Open-source machine learning for language

igraph

Open-source graph analytics

STATA

Proprietary statistical analysis software

LabView

Scientific instrument dashboard development software

Kibana

Open-source visualization and dashboard platform

Neo4J

Open-source graph analytics

Gensim

Open-source topic modeling

Mathematica

Proprietary computational and simulation software

VM Ware

Virtual Machine systems