Data Services
Advanced
Analytics
Unleash the true value of data using powerful data science
packages and algorithms with best-of-breed tools
Rapinno helps enterprises derive the true value of complex data
ecosystems with its Advanced Analytics and AI/ML services
The Challenge
IN DIGITAL, DATA IS THE FUEL AND AI IS THE ENGINE
The growing digitization and connectivity of all things alongside the massive rise in computing power has made data analytics a critical priority of every business executive today. And many are looking to AI to offload specific cognitive tasks and gain speed, cost-efficiency and agility. However, many lack a comprehensive approach and roadmap to scale enterprise-grade AI for their business.
What we do
Harness the Power of Modern Analytics with the Latest Digital Technologies
Rapinno provides consulting, engineering, and packaged software solutions covering the entire spectrum of advanced data application and management — business, financial and technical. Our solutions are based on deep mathematical and statistical foundations and state-of-the-art techniques, including deep learning, machine learning, neural networks, and natural language processing.
We tailor these solutions to your needs, leveraging both on-premises and cloud infrastructure while leveraging the latest AI tools and methodologies to create practical applications that provide the insights needed to enhance customer experiences, accelerate product lifecycles, improve resource allocation, and increase operating efficiencies.
Our Offerings
END-TO-END
ADVANCED ANALYTICS
& AI/ML SERVICES
Image & Video Analytics
Automated identification and labelling of objects from images and videos. Rapinno computer vision analytics services allow businesses to develop a Visual Analytics Processing capability that can enable AI and computer vision-based programs to extract meaningful information from images and videos in near and real-time
Personalized Data Analysis Workbenches
Data discovery, wrangling, model-building, model management, model consumption, visualization and workflow management in an integrated platform to accelerate the data science lifecycle.
Natural Language Processing (NLP)
Identify key insights from unstructured data. Use NLP algorithms to provide smart and self-learning systems that can extract information and insights contained in the NLP system as well as categorize and organize the systems themselves.
Forecasting & Optimization Models
Forecast and predict opportunities, customer behavior as well as financial, economic, and market risks of future unknown events, by applying statistical algorithms to historical data.
Cloud AI/ML Services
Accelerating and managing ML model development and deployment lifecycles, using real-time and batch data processing AI/ML use cases and various cloud machine learning features like AutoML, hyperparameter optimization, cloud-based cognitive, bot services and MLOps techniques.
Anomaly Detection
THE OUTCOMES WE DELIVER
Advanced
Analytics for Deep Business Insights
Better, More Informed Decision-Making
As a result of more manageable data and more timely access to critical data.
Faster Data & Operational Speed
Feed better data quality into business workflows and gain a more accurate understanding of actual operational performance
Operational Efficiency and Value
Free up data scientists to work on higher-value analytics activities instead of dealing with the complexities of DevOps and data engineering.
Improved User Experiences
Detailed SLA analytics highlight gaps in customer service and support.
Increased Compliance, Reduced Costs
Identify and prevent potential legal issues and fines before they become a problem – especially in highly regulated industries like healthcare and financial services.
Lower TCO for Data Management
Via more automated systems, reduced storage requirements, and application/service licensing.
Future Innovation, Competitive Advantage
Predictive analytics provide insights into emerging trends, focusing future development and innovation initiatives.
Our methodology
how we do it
how we do it
Our approach
A comprehensive approach to Service Virtualization
Rapinno uses a consultative approach by combining data engineering, cloud, data privacy, and compliance skills with proprietary frameworks and maturity models to construct a modern data ecosystem. In addition, our flexible resourcing model allows for the rapid scaling of teams through a pod or virtual pod-based approach.
DATA STRATEGY
Data strategy and roadmaps in <12 weeks
Delivered using structured methodology
Key Deliverables: Architecture options, business case, ROI driven program schedule, design patterns
DATA MANAGEMENT
Open source, micro-service data services
Comprehensive metadata models
Data catalog, lineage and data virtualization services
Seamless adoption to API and all data consumption patterns
MANAGED DATA SERVICES
iC4TM delivers true self-service capabilities for curation, catalog, context and consumption needs
Growing inventory of analtics as service products – virtual combo, merchant services
TYPICAL ENGAGEMENT
1 16 week assessment w/POC
2 1-2 Year exucution and delivery
3 Ongoing managed data services
Flexible terms
Fixed bid, time and materials, and managed data services
Data Services to accelerate the data transformation journey.
M4 Data Strategy Roadmap
and predictable steps for data modernization. It helps map use cases to modernize
architecture and migrate to the cloud while giving all stakeholders a clear view of expectations.
m1
map
Map business OKRs and IT goals to build a comprehensive view of strategic intent for the program
Map current state challenges with strategic goals to showcase critical milestones (Quarterly view)
Map milestones (Quarterly) with specific data assets, data products and capabilities delivered
m2
modernize
Map current state challenges with strategic goals to showcase critical milestones (Quarterly view)
Map milestones (Quarterly) with specific data assets, data products and capabilities delivered
m3
migrate
Map current state challenges with strategic goals to showcase critical milestones (Quarterly view)
Map milestones (Quarterly) with specific data assets, data products and capabilities delivered
m4
monitize
Map current state challenges with strategic goals to showcase critical milestones (Quarterly view)
Map milestones (Quarterly) with specific data assets, data products and capabilities delivered
A cloud-native, advanced data analytics framework that provides intuitive, flexible self-service access to BI, visualization and analytics insights to help business leaders and analysts make smarter, faster decisions. iC4 provides best-in-class tools for the four foundational principals of information management — Curate, Catalog, Context, and Consume. This stepwise approach and architecture allow organizations to capitalize on the benefits of analytics applications without having to build and maintain a huge data warehouse, visualization capabilities, and reporting platforms.
nlp engine
Rapinno leverages a Sentence Similarity Engine as part of its Natural Language Processing capabilities. This allows us to analyze unstructured content in the form of text and documents to compute semantic similarity and unearth new data insights.
vizsense
edgedetect
intelpredict
cxwatch
talkative
XtractIQ
XtractIQ is an AI-based document-processing solution that detects and interprets the content and structures of documents. Blending advanced technologies like OCR, ML, NLP, and computer vision, XtractIQ can effectively recognize patterns and extract intelligence from unstructured content in a range of forms and turn it into actionable data, generate inferences, and advance your move towards hyper-automation.
Our Offerings
END-TO-END
ADVANCED ANALYTICS
& AI/ML SERVICES
XtractIQ is an AI-based document-processing solution that detects and interprets the content and structures of documents. Blending advanced technologies like OCR, ML, NLP, and computer vision, XtractIQ can effectively recognize patterns and extract intelligence from unstructured content in a range of forms and turn it into actionable data, generate inferences, and advance your move towards hyper-automation.
key
partnerships
why rapinno
Deep Data Analytics
Experience
large, multi-tenant, heterogeneous enterprise
data assets, including ML/AI platforms.
A Structured
Methodology – M4
consistent methodology to guide the data
modernization process, developed from
decades of data and information
management experience.
Foundational
Data Principles
data, or “The 4 C’s” – to every data
analytics engagement: Curate, Catalog,
Context, and Consume. These four
principles are critical for every
organization to get their data analytics
initiatives right.
Increased Adoption
of Data Solutions
into customer behaviour for a more
personalized customer experience.
FAQ’s – Advanced Analytics
Advanced analytics services involve the use of sophisticated techniques such as machine learning, artificial intelligence, and predictive modeling to analyze data. These services help businesses extract deeper insights, predict future trends, and make data-driven decisions to enhance performance and innovation.
Analytics and machine learning work together by using data analysis to identify patterns and trends, which machine learning algorithms can then learn from and improve upon. This combination allows for the automation of complex decision-making processes and the development of predictive models that can adapt and evolve with new data.
AI plays a crucial role in advanced analytics by enabling the automation of data analysis, enhancing the accuracy of predictions, and providing more nuanced insights. AI algorithms can process large volumes of data at high speeds, uncovering patterns and trends that traditional analytics methods might miss.
Industries such as healthcare and life sciences, finance, retail, and manufacturing benefit significantly from advanced analytics services. These sectors can utilize data to predict customer behavior, optimize supply chains, improve patient outcomes, and enhance risk management, driving both operational efficiency and growth.
