AI/ML

When you are looking for custom artificial intelligence or machine learning development services you want the nearshore advantage. DevOcho can save you 40 to 60% on amazing talent and even better, we work in the Eastern Time Zone.

For you this means:

• Emails and slack messages are answered when you send them
• Your budget goes twice as far
• You can scale up or down as your business requires (we offer a month-to-month contract)

We believe there are 5 things that set us apart:

1. Proven Process - We have a system for building applications we call "The DevOcho Way" that is fast, effective, and consistently delivers great software
2. Full Team - We provide entire Scrum Teams with all the people/skills needed to complete your project (Scrum Masters, UI/UX Designers, QA Automation, Software Developers, Data Scientists & Machine Learning Engineers, and DevOps)
3. Time Zone Advantage - We work in the Eastern Time Zone so we are available during the day for US based customers
4. Training Program - Our staff goes through an intensive training program
5. Affordability - Hiring nearshore developers has offers a 40 to 60% cost advantage

The reality of these two terms is the definitions keep moving. Marketing teams prefer to make things sound bigger (and more valuable therefore more expensive) so they keep increasing the bar for what meets the standard of AI. Technically AI is the umbrella for any machine that demonstrates intelligence. Meaning it's not just a mechanical device that repeats the exact same operations regardless of the situation. In computer science we've defined a series of approaches and algorithms that we define as AI. If a computer in a car uses one of these approaches, technically the car manufacture can say the car is AI powered.

Generally speaking, right now in 2026, "AI" typically refers to the "machine thinking" and performing a task and we hold the bar to be closer to human capability. For example, asking ChatGPT a question, having Grok generate an image, or asking Gemini to write some code. "Machine Learning" typically refers to highly customized statistical models that can classify data

Here are some terms and definitions you will want to know when you work with Data Scientists and Machine Learning Engineers.

• Machine Learning (ML) - A subset of artificial intelligence where algorithms learn patterns from data to make predictions or decisions, without being explicitly programmed for every task. ML engineers build and deploy these systems.
• Supervised Learning - A type of ML where models are trained on labeled data (input features paired with correct outputs), common for tasks like classification or regression.
• Unsupervised Learning - ML on unlabeled data, where the model finds hidden patterns or structures, e.g., clustering similar customers.
• Reinforcement Learning - An ML approach where an agent learns by interacting with an environment, receiving rewards or penalties to maximize long-term goals (e.g., game AI or robotics).
• Deep Learning - A subset of ML using neural networks with many layers to model complex patterns, powering advancements in image recognition, NLP, and generative AI.
• Neural Network - A computational model inspired by the brain, consisting of interconnected nodes (neurons) that process data in layers.
• Feature Engineering - The process of selecting, transforming, or creating new features from raw data to improve model accuracy.
• Training/Validation/Test Sets - Splitting data into: training (to fit the model), validation (to tune hyperparameters), and test (to evaluate final performance). Prevents overfitting.
• Model Deployment/Inference - Putting a trained model into production to make real-time predictions (inference) on new data, often involving scalability and monitoring.

DevOcho hires the top Data Scientists and Machine Learning engineers in the Dominican Republic and trains them in our proprietary DevOcho Way process to ensure your project has the highest chance of being successful.

We work very hard to make sure that you are thrilled. We even offer a no-risk 30-day money back guarantee on the first 30 days and a month-to-month contract if you are not happy with the quality of our work.

From your side, it's a simple process:

1. First, we start with a Discovery Call to learn about your goals, budget and timeline
2. Then we develop a strategy that includes the right people and the right engagement model (dedicated team or a project based statement of work).
3. We kick off our DevOcho Way Process.