Turning ideas into solutions
with Machine Learning 

For over 20 years, RINA Systems has been the partner of choice for providing innovative software solutions for clients in different industries

RINA Systems

RINA Systems is a full-service software partner with over two decades of experience serving clients.

Our team has extensive experience in processing large volumes of data, information retrieval, machine learning, specifically solving classification and regression problems, natural language processing, data mining and manipulation, data analysis, information in social systems, and others.

RINA's ability to identify key problems and create intelligent technologies for the challenges facing your organization or industry is unparalleled.

Both emerging startups and established businesses have benefited from our reliable, affordable development services.

Let us solve your problems.

texture
about
texture
texture

Our products

Some of the companies we have worked with

ge capital financial
procter gamble
the boeing company
intel corporation
mastercard logo
tradestation trade stocks technical analysis
deutsche bank
landesbank
ABN AMRO
RBC Capital Markets
ADIA
Clarium
Credit Suisse
Compass
penske truck leasing company
time warner cable inc
anthem blue cross blue shield
Tele-Town Hall communication tool
Carespring rehabilitative services

Our latest news

Sentio highlighted in iConect latest Case Study $1.8 billion dollars the largest settlement in US International Trade Commission history

Sentio highlighted in iConect's latest Case Study: $1.8 billion dollars and the largest settlement in US International Trade Commission history

Through its partnership with iConect, Sentio Software’s predictive coding workflow was used to target issues and identify high value documents in a two year intellectual property dispute between two South Korean electric vehicle battery makers.

With 5.8TB of data, in which 95% were documents in Korean language (277,000 documents were in different languages), Sentio’s capabilities helped reviewers find documents that were conceptually similar and eliminate those with a low threshold of relevance from the collection to be reviewed.

At the height of the review process, the client was able to run 20 issue tags concurrently and create a model for each issue to prioritize and rank of the review.

Click here to read the complete press release.

close