AI Consulting and Data Services Designed to Solve Real Business Problems

Transform Operational Data into Strategic Business Value.

Identify Business Challenges Through Data Discovery Services

Align Data Initiatives with Business Objectives

To overcome data processing and storage challenges and craft an effective data strategy, we work towards several goals: innovation, addressing the needs of users, risks, and regulations. Correct data strategy provides an in-depth market and competitor analysis view, enabling stable business growth.

Design Scalable and Compliant Data Architectures

To achieve the best solution and business goals in ecosystem development, an in-depth analysis of the business is required as the data procession solution options are endless, and data engineers may achieve the same task in multiple ways.

Build Robust Data Platforms for Future Growth

The design of a data platform is not a single step and requires data lakehouse architecture, database modeling, and ETL (Extract, Transform, Load) data pipeline design. Standard programming is not a solution when handling large amounts of data due to the data size. Opinov8 team analyzes and considers all aspects before even a single diagram is drawn.

Design Scalable Data Architectures
Aligned with Business Goals

Create scalable data models that drive AI, analytics, and decision-making

Data modeling involves identifying the correct data sources within your system. We document the architecture using UML Entity Relationship Diagrams or, when applicable, JSON representation. These diagrams guide our data engineers and scientists in effectively operating the system.

Architect data systems for real-time processing and AI-driven insights

Our Business Analysts identify the core needs of your product, clarify any uncertainties, and create a clear roadmap for your development team. At Opinov8, we collaborate on strategic and functional roadmaps to deliver a unified, actionable strategy.

Build and Deploy Custom AI and Data Solutions at Scale

Implement AI Solutions for Predictive Insights

Opinov8 team has experience in both integrations of cloud ML solutions and the building/training process of the neural networks. Our expertise is recognized by IEEE white papers for deep image compression and image super-resolution, authored by the Opinov8 engineering team.

Streamline Data Flow for Real-Time Decision Making

As data volume, variety, and velocity has dramatically grown in recent years, architects and developers have adapted to “big data.” Data pipelines enable data to flow from an application to a data warehouse, from a data lake to an analytics database, or into a payment processing system.

Continuously Optimize Data Systems for Performance and ROI

BI

Business intelligence (BI) combines business analytics, data mining, data visualization, data infrastructure, and best practices to help companies make data-driven decisions. You know you have modern business intelligence when you have a comprehensive view of your organization’s data and use it to drive change and quickly adapt to the market.

Data Analytics

Data analytics is the process of analyzing raw data to draw out meaningful, actionable insights. It helps you make sense of the past and predict future trends and behaviors; rather than basing your decisions and strategies on guesswork, you’re making informed choices based on what the data tells you.

Operationalize Machine Learning for Continuous Improvement

With Machine Learning Model Operationalization Management (MLOps), we want to provide an end-to-end machine learning development process to design, build and manage reproducible, testable, and evolvable ML-powered software. MLOps aims to unify the release cycle for machine learning and software application releases.