Nearshore AI Development
Unlock Your Business Potential with Artificial Intelligence & Machine Learning.
With deep expertise in AI and ML, the Tangonet team delivers custom-tailored solutions that harness the power of AI and ML to solve your unique business challenges. From developing advanced algorithms using computer vision, generative and predictive technologies and models to building scalable cloud infrastructure, we have the skills and experience to transform your vision into reality.
“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
Artificial Intelligence and Machine Learning Services
Artificial Intelligence (AI) and Machine Learning (ML) are transforming businesses across industries, unlocking new opportunities and competitive advantages. Building the algorithms, models, cloud services and infrastructure to produce high quality, accessible data is complex. Tangonet can help you tackle these challenges with specialized expertise.
Tangonet's team of AI and ML experts have deep experience developing custom algorithms and predictive models to power intelligent applications. We leverage the latest frameworks and techniques in areas like deep learning, computer vision, and natural language processing to create tailored solutions that deliver measurable business impact.
Deploying AI and ML models at scale requires robust cloud infrastructure and services. Tangonet is well-versed in building secure, scalable cloud applications on platforms like AWS and Azure.
Feeding high-quality, diverse data into your AI models is critical for accurate and reliable predictions. Tangonet's team has extensive experience extracting data from a variety of sources, including video, images, web scraping, API integrations, and custom data pipelines.
Benefits of Tangonet’s Nearshore AI Development Teams
- Reduced Costs. By leveraging our nearshore remote teams, our clients significantly reduce hiring and operational costs.
- Faster Time-to-Market. Our clients see accelerated project timelines, launching new features and products ahead of schedule allowing for enhanced flexibility and scalability.
- Improved Quality. Our clients achieve higher-quality outcomes with access to specialized skills and a broader talent pool as well as seamless integration with their existing teams.
- Time Zone Compatibility. Real-time collaboration is possible, enhancing productivity and reducing delays.
Benefits Of Leveraging AI For Your Business
AI-powered automation and decision-making can streamline workflows and boost operational efficiency.
AI-driven personalization, chatbots, and predictive analytics can deliver more tailored, responsive, and satisfying customer interactions.
AI models can analyze massive amounts of data to uncover insights and make recommendations that improve strategic business decisions.
Early adoption of AI technology can help you disrupt your industry and pull ahead of the competition.
The efficiencies and optimizations enabled by AI can lead to significant reductions in operational expenses.
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.
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
Artificial Intelligence (AI) refers to the broader concept of machines being able to carry out tasks in a way that we would consider "intelligent." This includes things like problem-solving, learning, and decision-making.
Machine Learning (ML) is a specific application of AI that involves training algorithms to learn from data and make predictions or decisions without being explicitly programmed. ML is a core technique used to build many AI systems and applications.
In addition, the Data Science layer blends these concepts together to build innovative and data-enriched solutions.
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.
A few examples of where the Tangonet team has deployed AI for a client are:
Vehicular traffic monitoring, control and violation detection.
We helped the client design and implement an AI-enabled system that can continuously monitor traffic, detect violations in real-time, and automatically process and report the infractions.
Extracting Nutritional Data from Visual Food Representations.
The client, ISV, a leading innovator in the food and technology sector, has been pioneering solutions to bridge the gap between dietary needs and food consumption for those with Type 1 Diabetes. They tasked us with developing an innovative solution capable of capturing and interpreting data taken from photos of prepared foods to extract accurate nutritional information.
Mobile (Aerial) Object Detection and Tracking
The solution we built was based on a use case that incorporated machine learning techniques such as computer vision with convolutional neural networks and RNN-LSTM. The processing was in real-time for monitoring purposes and triggering alarms within seconds upon detecting airborne object intrusions within certain property perimeters in areas such as airports, government locations, and prisons
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 a wide range of Python tools, frameworks & libraries. This not an exhaustive list.
Web Development
- Frameworks: Flask, FastAPI
- API Development: FastAPI,
- Web Scraping: Scrapy
- Cloud Integrations: boto3 (AWS SDK)
DevOps & Automation
- Infrastructure as Code: Terraform
- Containerization & Orchestration: Docker, Kubernetes, Helm
- CI/CD: GitHub Actions, GitLab CI/CD
- Monitoring & Logging: Splunk SDK, Prometheus, Datadog, ELK Stack
Data Science & Machine Learning
- Data Manipulation: pandas, numpy
- Deep Learning: TensorFlow, PyTorch, Keras,
- Computer Vision: OpenCV
- Data Engineering & Pipelines: PySpark
- Model Deployment: FastAPI, Flask, TensorFlow Serving
Databases & Data Storage
- NoSQL Databases: MongoDB
- ORMs: Django ORM
- Big Data Processing: PySpark
- Cloud Storage: boto3 (AWS S3),
Networking & API Development
- API Documentation: OpenAPI
Security & Cryptography
- Penetration Testing: Scapy,
- Authentication: Authlib, OAuth2
Parallel Computing & Performance Optimization
GPU Computing: TensorFlow-GPU
