Data and decision systems
Unify fragmented sources into trusted pipelines, dashboards, segmentation, forecasting, and commercial decision tools.
Data and AI consulting — strategy through implementation
Senior data and AI consultants who turn fragmented data and stalled pilots into working systems.
We work directly with multinational and operational teams to build analytics, AI workflows, and decision tools—from validation through implementation and handover.
20+
data sources unified into one commercial decision layer
80+
markets moved from weekly consolidation to daily visibility
3 in 4 months
operational AI agents deployed into live workflows
What we solve
From the decision problem to a system your team can run.
We combine strategy, data work, engineering, and adoption. The engagement starts with the business decision or workflow, then uses the smallest useful mix of analytics and AI.
AI validation and implementation
Test whether an AI use case is feasible, compare models honestly, and build the surrounding workflow, controls, and integration.
Operational AI and automation
Embed controlled AI into document review, risk scoring, knowledge retrieval, and other repeatable operational processes.
Selected work
Evidence from real operating environments.
The detailed case studies hold the full context. These are the decisions, systems, and outcomes that best show how we work.
Global fashion retailer
One commercial decision layer across more than 80 markets
We consolidated more than 20 sources, standardized customer segmentation, and automated daily commercial visibility in BigQuery and Power BI.
Weekly Excel consolidation became a shared daily view for finance, marketing, and leadership.
Read the case study
Industrial manufacturer
Three controlled AI agents inside live operational workflows
We embedded task-specific agents into Microsoft 365 for engineering changes, invoice-risk review, and internal process knowledge.
AI moved from strategic ambition to governed operational capability in four months.
Read the case study
Climate technology startup
Evidence before committing an AI product roadmap
We benchmarked leading models on financial records, documented the trade-offs, and built an API-based carbon-accounting prototype.
The product team left with a tested model choice, working prototype, and practical integration path.
Read the case studyIndustry context
Strongest where adoption depends on the real workflow.
We focus our claims where the team has direct experience or closely relevant delivery evidence.
Industrial operations
Controlled review, knowledge, supplier, and engineering workflows.
Explore the industryRetail and e-commerce
Customers, campaigns, channels, demand, and commercial decisions.
Explore the industryMining and construction
Data systems for asset-heavy projects, documents, risk, and field decisions.
Explore the industryPublic sector and procurement
Responsible analytics, automation, evaluation, and partner-led delivery.
Explore the industrySenior delivery
The people you meet are the people who do the work.
Evolve On C is a lean senior team based in Amsterdam and Barcelona. We stay accountable from scoping and validation through implementation, adoption, and handover.
Meet the team
Rafael Perez
Data strategy and commercial analytics · Barcelona
Sebastian Paik
Machine learning and data engineering · Barcelona
Sharon Sciammas
AI transformation and enablement · Amsterdam
Have a data or AI workflow that needs to become real?
A first conversation can clarify the decision, available data, operational constraints, and the smallest useful system worth building.
Discuss your project
Or email info@evolveonc.com