Nearshore Cloud Development
Cloud development teams that scale up with your business.
For businesses, developing on the cloud eliminates the need for expensive hardware, slashes IT overhead, and lets you scale as you grow—without overcommitting upfront. With Tangonet’s cloud development services, you can launch faster, stay more secure, and adapt quickly to change—all while keeping costs predictable. It’s how smart businesses stay lean, agile, and competitive in a digital world.
“The Knowledge the team has is invaluable. With this being the first time [we’d developed an application for commercial use], it helps to have a knowledgeable team. They give their opinion without a “the customer is always right” attitude, which is imperative in my mind.”
TrukOptics
Why Choose Cloud Based Development?
Cloud-based development offers companies the agility, scalability, and efficiency they need to stay competitive in today’s fast-paced digital landscape. By building in the cloud, businesses can deploy applications faster, scale resources on demand, and reduce infrastructure costs—without sacrificing performance or reliability. This makes it ideal for startups, enterprise teams, and companies exploring new digital products or services.
Spin up development environments in minutes and deploy updates continuously.
Easily handle traffic spikes or growth without costly hardware upgrades.
Pay only for what you use, with no upfront hardware costs.
Enable distributed teams to work seamlessly from anywhere, time-zone aligned. Perfect for companies that leverage nearshore engineers.
Tangonet’s Cloud Development Services
Tangonet Solutions offers nearshore cloud development services. We build scalable, secure, and cloud solutions to improve operational efficiency, accelerate development, and turn complex data into real-time insights. Whether you’re optimizing workflows or deploying machine learning models, we have the expertise to make it happen.
Cloud-based DevOps and CI/CD services streamline the entire software development lifecycle—automating builds, testing, and deployments to support faster and more reliable releases.
Cloud-based AI and machine learning services make it easier than ever to build, train, and deploy intelligent AI models. Whether you're working on predictive analytics, computer vision, or natural language processing, cloud AI services help you move from prototype to production faster, with built-in scalability and enterprise-grade performance.
Cloud platforms offer robust support for Python, making it easy to run applications, scripts, and APIs at scale. Whether you're deploying a web app, automation script, or data pipeline, the cloud simplifies environment setup, dependency management, and version control.
Cloud compute and hosting services give businesses the flexibility to run applications on demand—without the need for physical servers. With built-in redundancy and the ability to scale easily cloud hosting ensures your applications stay fast, secure, and available—no matter the demand.
The Best of Both Worlds
Experience the perfect blend of Argentine technology talent and US oversight to conquer your tech challenges.
Tangonet’s founder, Dennis Bruce, lived and worked in Argentina, recruiting and developing technology teams for small and large-scale technology investments in the areas of Telecoms, Retail and Transport/Logistics.
Tangonet’s deep understanding of Argentine culture, technical know-how and the tech talent available in Argentina allows them to deliver high quality services to their clients.
Why Should You Use Tangonet’s Nearshore Teams For Your Next Cloud Based Project?
Nearshoring cloud-based development is a strategic way to gain access to top-tier technical talent while maintaining real-time collaboration and cultural alignment. Unlike traditional offshore outsourcing, Tangonet’s team are in similar time zones. This allows for smoother communication, quicker feedback cycles, and the ability to work together in near real-time, which is essential for agile cloud development.
Cost efficiency is another major advantage. Tangonet’s nearshore teams can provide the same level of expertise as local developers but at significantly lower rates. This is especially valuable when working on cloud-native solutions, where the right skillset—like DevOps, Python, or AI/ML experience—can make or break a project.
Tangonet’s nearshore teams offer the perfect balance between quality, speed, and cost. Our clients are able to scale cloud development without compromising on collaboration or control—making it an ideal solution for small and medium sized businesses.
Python Development Teams For Every Project
We’ll provide a detailed proposal outlining team structure, timeline, and costs.
We’ll conduct a kickoff meeting with all stakeholders to verify project requirements, timelines, and communication paths.
We will complete detailed approval documents for project specifications, design, and architecture before providing a project roadmap.
We begin building your proof of concept or MVP (Version 0.x). Then, we iterate, improve, and continue to develop functionality per sprint requirements through to production (Version 1).
Once Version 1 is complete, we either move into maintenance mode or hand the project back to you for ongoing product support.
We’ll present the client with a project team solution. The client would be presented with the product liaison or technical lead for the duration of the assignment.
We’ll conduct a kickoff meeting with all stakeholders to verify project requirements, timelines, and communication paths
As our team integrates with your team, we will conduct monthly stakeholder meetings to report on progress and respond to potential issues promptly.
Frequently Asked Questions
Yes. Major cloud providers like AWS, Google Cloud, and Microsoft Azure offer enterprise-grade security features—like data encryption, identity and access management, and compliance with global standards (e.g., GDPR, HIPAA, SOC 2).
Nearshore development refers to the practice of outsourcing software development and other IT work to a country or region that is geographically close to the client. This is in contrast to offshore development, which involves working with teams located on the other side of the world. Tangonet hires exclusively from Argentina based on our founder’s immense experience working in Argentina, with Argentine based developers.
What Types of Projects Does Tangonet Solutions Specialize In?
Building feature-rich, scalable applications using the latest technologies and frameworks. Devops services aimed at improving collaboration, automation, and efficiency across software development and IT operations teams.
SaaS (Software as a Service)
SaaS products need rapid iteration, global reach, and high uptime. Cloud platforms provide:
- CI/CD pipelines for fast deployment
- Global server availability
- Cost-effective dev/test environments
AI & Machine Learning Apps
AI/ML workloads require heavy computation during training and flexibility during deployment. The cloud provides:
- Powerful GPUs/TPUs on demand
- Serverless APIs for real-time predictions
- Managed services for model training & hosting
Mobility & Delivery Apps
Apps for ride-sharing, food delivery, or logistics need:
- Real-time location tracking
- Scalable APIs
- High availability
Tangonet’s leadership team brings nearly 100 years of combined experience in designing, developing and delivering technology solutions. We take the following steps to ensure we deliver a high quality work.
- Maintain strict controls and communications both with our internal team and the external client leadership.
- Tangonet subscribes to test-driven solution development. Whether this testing is done by us or the client, we help build and adhere to a process that is quality-driven as a core principle of our service
- We do not bait and switch! The team that is identified and agreed on with the client to work on their project is the team assigned. If for some reason a team member must be changed, the replacement will be of equal or higher level of experience
Tangonet works with our clients to define a starting point - generally speaking, that is a team smaller than what a client may anticipate. Once we begin on the project, we will better understand the staff requirements. If we need to staff up we can do that in no more than 4 weeks.
Scaling down is also very simple with Tangonet Solutions. With a 30-day notice, teams can be scaled down. In other cases, we can project the team sizes over an extended period based on the type and dynamics of a technology project. In this case there is a planned scale down over time and based on project milestones or where we transition to maintaining a solution we built for the client.
We work with leading platforms including Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, depending on your needs, stack, and scalability goals.
Yes! We can help you modernize your legacy systems with seamless cloud migration. Our cloud development team can transform outdated applications or systems into scalable, secure, and high-performance cloud-native solutions. Whether you're moving to AWS, Azure, or Google Cloud, our team ensures minimal disruption, optimized performance, and future-ready architecture—all while working in your time zone for faster, more collaborative development.
DevOps is a set of practices that automate and streamline software delivery. In cloud development, DevOps tools help with continuous integration and deployment (CI/CD), infrastructure automation, and faster release cycles.
Yes, cloud development can absolutely support AI and machine learning (ML) projects - in fact, it's often the preferred environment. It offers:
Scalable Compute Power: AI/ML projects need serious computing power, especially for training models. Cloud platforms like AWS, Google Cloud, and Azure offer scalable resources (e.g., GPUs, TPUs) on-demand, without the need to invest in expensive hardware.
Access to Prebuilt AI/ML Services: Cloud providers offer ready-to-use AI services—like natural language processing, computer vision, recommendation engines, and more—so teams can either use them directly or build on top of them.
Collaborative Development: Cloud environments support version control, shared workspaces, and CI/CD pipelines that streamline AI model development and deployment. Tools like Vertex AI (Google), SageMaker (AWS), and Azure Machine Learning make collaboration easy.
Efficient Data Storage: Machine learning requires vast amounts of data. Cloud services provide secure, scalable data lakes and storage buckets to host training data and model outputs.
Cost Efficiency: Instead of buying powerful servers, cloud development offers a pay-as-you-go model, so you only pay for the compute and storage resources you use—ideal for experimenting and scaling as needed.
