Our engineering teams are experts in AI/ML integrations, full-stack development, security, and DevOps solutions.

At LiftCentro, our Latin America-based IT Services team infuses AI into IT, combining advanced AI skills with more traditional IT services.
We pride ourselves in helping our customer organizations evolve digitally with solutions such as:
Successful AI initiatives require more than access to new technologies. Organizations that see long-term results often start with:
We partner with clients to focus on measurable outcomes, so we can prioritize the right opportunities and make informed decisions.
We start by understanding your current environment, your goals, and where the gaps are. From there, in consultation with you, we can figure out the skillsets, experience levels and collaboration model that makes the most sense for the job.
Our collaboration models range from fixed-price projects ) fit for clearly- defined feature requirements), and engineering staff augmentation to a more flexible time & material approach for more projects with more dynamic and changing requirements.
One of the hardest challenges in technology is finding experienced engineers who can ramp up quickly and deliver without hand-holding. Our Americas-based IT Services team has deep, hands-on expertise across DevOps, AI/ML, data engineering, QA, and security — and we've built that experience across dozens of real-world projects in healthcare, fintech, SaaS, and beyond.


Organizations often face complex challenges that require specialized expertise, scalable resources, and a clear implementation strategy.
Implementing AI Systems
Evaluate practical ways to leverage automation, data, and AI-driven solutions.
Modernizing Legacy Systems
Improve performance, reliability, and scalability while reducing technical debt.
Strengthening Security and Compliance
Protect applications, infrastructure, and business-critical data through proactive security practices.
Accelerating Software Delivery
Streamline development processes and improve the speed and quality of releases.
Scaling Cloud Environments
Support growth with resilient infrastructure designed for flexibility and long-term sustainability.
Blending AI with traditional IT services

Infrastructure as Code

Container orchestration

Monitoring, alerting, and observability

Serverless architecture and cost optimization

App modernization

Custom AI agent development

GenAI application development

AI API integration

AI-powered chatbot development

AIOps implementation

AI-native development

Data preparation and feature engineering

Model training, deployment, and ongoing monitoring

Custom model development

MLOps pipeline setup

Predictive analytics solutions

Model monitoring and drift detection

RAG pipeline implementation and context engineering

Manual and automated software testing

Unit, integration and regression testing strategy

Performance and load/stress testing

QA automation framework setup

Mobile and cross-browser website QA

Penetration testing using OWASP methodology

Web application security assessments

Infrastructure and network penetration

Security compliance support

Ethical hacking engagements (with reporting)

Post-remediation validation testing