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