
Your innovation
and engineering team.
We join your team to drive innovation initiatives that do not yet have a clear answer. We combine cloud infrastructure, data, AI, and software to take them from a hypothesis to a system in production.





Deciding and building go together.
We work as part of the engineering team to turn innovation opportunities into real systems. We take part in the definition, design, and delivery of cloud infrastructure, data engineering, artificial intelligence, and software development initiatives. With engineering judgment, systems thinking, and technical accountability, we make the architecture decisions that turn a promising idea into a system that works in production.
Before we build, we decide.
Before starting a cloud, data, AI, or software project, we define the business problem, architecture decisions, and risks that shape the outcome. Then we build with the team, validate every iteration, and deliver a maintainable, operable system ready for production.
We understand and decide
We start with the business problem. We assess architecture, data, operations, and risk before deciding what is worth building and what should be ruled out.
We build for production
We take cloud infrastructure, data platforms, AI models, and critical software to production with testing, security, and observability from the start.
We leave you in control
We deliver architecture documentation, knowledge transfer, and operating criteria so your team can maintain and evolve the system.
The problem sets the technology.
Modernizing a cloud platform, restoring trust in data, automating a process, or taking AI to production each calls for different decisions. We start with the system that already exists, the people who operate it, and the change that matters to define an architecture that works for the long term.
Cloud Infrastructure
We design cloud infrastructure, migrations, and observability for platforms that need to scale without disrupting operations or compromising security.
Data Engineering
We build data platforms and reliable pipelines so analytics, product, and operations work with information that is useful, traceable, and available.
Artificial Intelligence
We validate AI use cases, measure their reliability, and build models that work in operations with real data, not only in a demo.
Software Development
We develop custom software for critical workflows, internal applications, and products that must evolve without disrupting operations or increasing technical debt.
FinOps Cloud
We analyze cloud costs by team and service to detect waste, optimize resources, and preserve operational reliability with real usage data.
Technology Consulting
We advise technology leaders on investment priorities, vendor evaluation, platform modernization, and technical due diligence.
The right
stack
We choose the right technology stack for every project. In cloud consulting, data engineering, artificial intelligence, and software development, we review the current architecture, integrations, security, performance, and cost before deciding. AWS, Azure, Google Cloud, Kubernetes, Terraform, and data or AI tools are selected for their fit with the solution and the team that will operate it.
Technical Trust
When there is no margin for error, having a technical team that delivers changes everything. That is why CTOs and product leaders trust us, because what we build works in production.
"At ERIKALUST we wanted any team to ask questions in natural language and receive reliable answers aligned with our metrics directly in Slack. No more endless dashboard searches or rewriting the same SQL queries."
Fredi Fernandez
CPTO, Lust Productions
"Valendra's DevOps team is one of the strongest we have worked with. They led our GCP migration, implemented robust email with AWS SES, and improved monitoring. Their 24/7 availability and ability to resolve incidents quickly bring real peace of mind."
Prasad Fernando
Head of Development, Openprovider
"When I need to deliver a web project for a client, I trust Valendra. Clean design, quality work, and they meet deadlines. That's what you expect from a good team."
Luis Perignat
CEO & Co-Founder, SurflyStudio
99.9% uptime on the critical services we manage.
15+ cloud migrations completed on AWS, GCP, and Azure.
10+ data and AI pipelines deployed in production.
24/7 monitoring and support for critical infrastructure.
Frequently Asked Questions
If you lead engineering, platform, or product, these are the questions that matter before moving cloud architecture, a data platform, generative AI, or business-critical software.
From an innovation challenge,
to a production system.
Tell us what is blocking the team. In an initial technical conversation, we will identify the starting point, constraints, and the decision that can unblock the project.
→Schedule a technical conversation



