Data · Analytics · SAP · Cloud · AI

We turn scattered data into decisions with a measurable return


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.

Upcoming event

September 2–4 · Stand 2.9 · Complejo Las Américas, Cartagena

Meet us at ANDICOM 2026, in Cartagena

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.

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Companies that trust our models

Where it starts

The data already exists. What is missing is turning it into decisions


If three of these five sound familiar, your analytics gap is already costing money.

01

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.

02

Projects that never reach production

Pilots that work in a demo and get switched off before deployment, leaving nothing running.

03

Time lost preparing data

The analytics team spends most of its hours cleaning and integrating information instead of analyzing it.

04

SAP that will not talk to anything else

SAP data lives isolated from the rest of the ecosystem, and every join with another source turns into a project.

05

Specialized talent is hard to find

Data and SAP profiles are difficult to hire, and harder to keep once they are trained.

What we do

From platform design to AI-assisted operations


Thirteen services in five families. Full coverage of the analytics cycle, not disconnected pieces.

01

Data platforms

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.

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02

Analytics and visualization

Dashboards the organization actually opens every day to decide, and models that anticipate what is coming instead of reporting what already happened.

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03

Artificial intelligence

Assistants and agents that talk to your data and to your processes, and automation of manual, repetitive work with end-to-end traceability.

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04

Governance, cloud and FinOps

So the right data reaches only the people who should see it, and so the cloud bill matches what is actually used.

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05

Advisory and support

Assessment and roadmap before building; Analytics Desk, specialized staffing and training to sustain and grow what has been built.

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See all five families in detail

Why Scitis

Specialists, not generalists


One hundred percent focused on data, analytics, SAP, cloud and artificial intelligence. We do nothing else, which is why we do it well.

2016The year Scitis was founded
20+ yearsThe founding team working with data and analytics
30+People across Colombia and the United States
100+Projects delivered across Latin America and the U.S.

Scitis has existed since 2016. Our experience with data goes back considerably further.

Results with a measurable return


Every solution is designed around a business impact you can measure — time, efficiency, revenue — not around shipping one more dashboard.

SAP and cloud in the same team


Real depth in SAP integration combined with architectures on AWS, Azure and Google Cloud. Few firms deliver both.

Nearshore, in your time zone


Teams in Colombia and Orlando working U.S. business hours. Same-day answers, not overnight handoffs.

AI on governed data


Data governance and security as the foundation of every AI project, not an appendix at the end.

How we do it

A reference architecture that is ready to deploy


Modular and cloud-agnostic. It adapts to what the organization already has instead of forcing a fresh start.

Arquitectura de referencia de Scitis: fuentes de datos, ingesta, data lake por capas bronce, plata y oro, analítica, agentes de IA y visualización, con gobierno, monitoreo, redes y FinOps como capas transversales.
Scitis reference architecture

See how we work

Results

What changes when data starts deciding


Automated billing extraction

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.

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A corporate Data Lakehouse

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.

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A finance assistant in plain English

Retail · AWS. Finance leaders depended on manual reports. We built an AI assistant that interprets natural-language questions and answers from company data.

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See the four case studies

Alliances and certifications

Technical depth certified by the leading vendors


Team certifications

AWS Certified Data Analytics — Solutions ArchitectGoogle Cloud Professional Data EngineerSAP Certified Application Associate — Analytics Cloud and BW/4HANAMicrosoft Azure Data Engineer and AI EngineerScrum Master and Agile PM
Where we are

Two headquarters, projects in ten countries


Scitis 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.

Mapa de América con la presencia de Scitis: sedes principales en Colombia (Scitis Group S.A.S.) y Estados Unidos (Scitis LLC), y oficina u operación en Estados Unidos, México, Honduras, El Salvador, República Dominicana, Panamá, Ecuador, Perú y Chile.
Headquarters in the United States and Colombia · office or commercial operations in eight more countries
Colombia
Scitis Group S.A.S.
Calle 3 Sur # 43A-52
Medellín, Antioquia 050021
Colombia
+57 304 654 2584
United States
Scitis LLC
3564 Avalon Park E Blvd
Orlando, FL 32828
United States
+1 (786) 794-4652
Scitis

Tell us what you are up against with your data

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.

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