Revelo. We shed light on your data.
We turn complex data, methods and research into software that people can use.
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Data scienceSoftware solutionsOur services
We combine data science, AI and software development to solve complex problems and turn ideas into working solutions.
Applied AI & data science
We develop analytical and AI-based solutions for complex data and real-world problems. Our focus is on using the right methods for the problem — from statistical modelling and machine learning to modern AI — and turning them into robust, transparent and useful solutions.
Rapid prototyping
We turn ideas into working prototypes quickly, using real data and involving users early. Our experience with visual programming and Orange allows us to explore different approaches, test what works and reduce the time and cost of developing the final solution.
Data-driven software & infrastructure
We build applications and infrastructure around data, analytics and scientific methods — from specialised analytical tools to complete web applications and data platforms. We take solutions beyond the model or prototype and make them usable in practice.
Scientific & domain-specific solutions
We work closely with domain experts in areas where understanding the problem matters as much as the technology. We translate complex methodologies, research processes and domain knowledge into analytical tools and software tailored to how people actually work.
Orange data mining
Visual programming for data science
We have been working closely with the team behind Orange Data Mining for many years. Orange combines visual programming, interactive data exploration and machine learning in an environment that allows ideas to be tested and analytical workflows to be developed quickly. We use Orange for prototyping, education and specialised analytical solutions, and develop custom components and applications where needed.
Learn more about Orange data mining tool →Orange Lab
We are working on Orange Lab, a web-based environment for visual data analytics that brings Orange workflows to the browser. It supports collaborative work and makes it possible to embed interactive parts of analytical workflows directly into web pages and applications.
Learn more about Orange Lab →
Selected work
PAY DAY
Pay transparency in practice
PAY DAY turns the requirements of the EU Pay Transparency Directive into a practical analytical tool for employers in Slovenia. It processes payroll data, calculates gender pay gap indicators and helps organisations identify where pay differences occur and where further analysis may be needed.
Developed as part of the EU-funded PAY DAY project, it also provides a free job evaluation methodology that organisations anywhere can use to evaluate jobs and establish job categories.
Pay transparencyPayroll analyticsPaygap.report
From job evaluation to pay gap analysis
We are partnering with experts in job evaluation and pay structures to develop Paygap.report, a new solution for gender-neutral job evaluation and pay transparency.
Paygap.report is designed to help organisations evaluate jobs, establish job categories and analyse employee and pay data in a structured workflow — connecting job evaluation with pay gap analysis in one practical process.
Job evaluationPay gap analyticsResearch infrastructure
Connecting research data
We develop data infrastructure that brings together information from multiple sources and makes it searchable, explorable and useful.
Our work includes large-scale data integration, research databases, semantic search and analytical interfaces for discovering connections across complex scientific and research information.
Data integrationSemantic searchScientific analytics
Data science for R&D
We work with scientific and industrial R&D teams on problems where experimental data, domain knowledge and advanced analytics come together.
Our work includes machine learning, image and experimental data analysis, predictive modelling and visual analytics, as well as specialised software for scientific workflows.
R&D analyticsMachine learningDALI4US
Interactive data science education
DALI4US brings data science and machine learning into an interactive learning environment.
Revelo developed the infrastructure connecting web-based educational content with live Orange workflows, allowing students and teachers to experiment with data and machine-learning methods directly through their browser.
Interactive learningOrange workflows