Low analytics maturity
The organization measures, but does not decide with what it measures. The reports exist; the criteria for acting on them do not.
We design the platform that centralizes your information, the models that explain it and the AI that puts it to work. In weeks, not months.
Free discovery call. No commitment.
Colombia's largest ICT congress reaches its 41st edition with artificial intelligence at the center. We will be there all three days — if you want to talk about your data, let's book ahead.
Companies that trust our models
















If three of these five sound familiar, your analytics gap is already costing money.
The organization measures, but does not decide with what it measures. The reports exist; the criteria for acting on them do not.
Pilots that work in a demo and get switched off before deployment, leaving nothing running.
The analytics team spends most of its hours cleaning and integrating information instead of analyzing it.
SAP data lives isolated from the rest of the ecosystem, and every join with another source turns into a project.
Data and SAP profiles are difficult to hire, and harder to keep once they are trained.
Thirteen services in five families. Full coverage of the analytics cycle, not disconnected pieces.
One governed, scalable corporate repository. A cloud Data Lakehouse, SAP and non-SAP source integration, and the full SAP analytics ecosystem from extraction to dashboard.
Learn more →Dashboards the organization actually opens every day to decide, and models that anticipate what is coming instead of reporting what already happened.
Learn more →Assistants and agents that talk to your data and to your processes, and automation of manual, repetitive work with end-to-end traceability.
Learn more →So the right data reaches only the people who should see it, and so the cloud bill matches what is actually used.
Learn more →Assessment and roadmap before building; Analytics Desk, specialized staffing and training to sustain and grow what has been built.
Learn more →One hundred percent focused on data, analytics, SAP, cloud and artificial intelligence. We do nothing else, which is why we do it well.
Scitis has existed since 2016. Our experience with data goes back considerably further.
Every solution is designed around a business impact you can measure — time, efficiency, revenue — not around shipping one more dashboard.
Real depth in SAP integration combined with architectures on AWS, Azure and Google Cloud. Few firms deliver both.
Teams in Colombia and Orlando working U.S. business hours. Same-day answers, not overnight handoffs.
Data governance and security as the foundation of every AI project, not an appendix at the end.
Modular and cloud-agnostic. It adapts to what the organization already has instead of forcing a fresh start.

Energy · Azure. Billing data from the ERP was hard to query, back up and analyze. We automated extraction and centralization, and the finance team gained traceability and autonomy.
Learn more →Distribution · Google Cloud. Critical information sat across multiple systems. We built one governed, scalable repository — a single source, faster queries and a foundation for advanced analytics.
Learn more →Retail · AWS. Finance leaders depended on manual reports. We built an AI assistant that interprets natural-language questions and answers from company data.
Learn more →
AWS Partner · Select Tier Services
AWS Glue Delivery
AWS Qualified Software
Google Cloud Partner
Microsoft Solutions Partner
SAP Partner Open EcosystemScitis LLC operates from Orlando, Florida, and Scitis Group S.A.S. from Medellín, Colombia. From there we have delivered across Mexico, Central America, the Caribbean and the Southern Cone — always in your business hours.


We will propose a data discovery call and an analytics and AI roadmap, at no cost, to find where the biggest return is for your business.
Book a discovery call