Elevata Achieves the AWS SMB Competency

Elevata has achieved the AWS Small and Medium Business Competency, a designation for AWS Partners with validated experience serving small and medium businesses on AWS.

The recognition matters because SMB cloud work is not a smaller version of enterprise cloud work. These companies often run with lean teams, tighter cost controls, and less tolerance for architecture that takes months to justify itself. They need cloud environments that are secure, practical, and sized to the way the business actually operates.

In December 2025, Elevata achieved the AWS Generative AI Competency. Four months later, we have added the AWS SMB Competency. Together, the two designations reflect a deliberate direction for the company: help growing organizations modernize on AWS, adopt production-grade AI, and scale without carrying the weight of enterprise-first delivery models.

What the AWS SMB Competency means

The AWS Competency Program validates AWS Partners in specific industries, use cases, and workloads. For the SMB Competency, AWS says partners must undergo technical validation and assessment of their SMB solutions and practices, including architecture review and SMB customer case study review.

For customers, that validation is useful. It gives them a clearer way to separate partners with real SMB delivery experience from firms that only market to the segment. It does not replace diligence, but it is a meaningful signal that AWS has reviewed the partner's work.

Why SMB matters to Elevata

SMB customers are central to Elevata's delivery work in Canada and across Latin America.

These teams often come to AWS with clear pressure points. They need migrations that reduce operational drag. They need modernization projects that control cost. They need AI initiatives that can move beyond pilots without creating new governance problems.

The work has to match that reality. An SMB does not benefit from a cloud program designed for a global enterprise and then trimmed down after the fact. It needs the right foundation from the start: practical architecture, clear controls, and enough room to grow.

The business behind the recognition

Elevata's SMB engagements on AWS grew 60 percent year over year from 2024 to 2025. That growth reflects repeatable delivery: right-sized architectures, production migrations, and AI adoption scoped to what the business can actually operate.

As part of its deepening AWS partnership, Elevata is committed to expanding its SMB practice across Canada and Latin America — with the goal of nearly tripling that engagement base over the next two years.

Where GenAI fits

The SMB Competency also gives more weight to Elevata's AWS Generative AI Competency.

For many SMBs, generative AI is already practical. It can support internal workflows, customer-facing experiences, knowledge retrieval, and faster analysis. But it only works when the surrounding cloud foundation is ready.

That means secure access to data, cost controls, monitoring, governance, and an operating model the customer's team can maintain. Elevata's role is to help SMBs adopt AI at a scale that fits the business, instead of forcing them into delivery models built for much larger organizations.

"Two AWS Competencies in four months reflects how we have built Elevata: with intention. We are not collecting badges. We are building a practice deep enough to be validated and practical enough for the customers we serve. The SMB Competency, alongside our Generative AI Competency, gives us a stronger foundation to grow with AWS across North America and Latin America in a way that is earned."

— Luciana Prieto, Co-Founder and Head of Partnerships, Elevata

What customers should take from this

For current customers, the designation confirms the technical discipline behind Elevata's AWS work. For organizations evaluating AWS partners, it provides independent validation of Elevata's experience with SMB environments, including architecture, delivery, and customer outcomes.

It also clarifies where Elevata is headed: deeper AWS specialization, practical AI delivery, and cloud work built for companies that need speed, cost control, and systems that can hold up in production.