DeepSeek AI for Business: Features, Use Cases, and Advantages

New AI models pop up all the time, each claiming to be faster, smarter, and better. But when it comes to real-world use, a lot of 'buts' come up.

At Wetelo, we’ve worked with DeepSeek AI as well as other artificial intelligence solutions, and we want to share our insights on where each one works best.

OpenAI’s ChatGPT remains the most widely used AI technology, but DeepSeek brings something different to the table. It has its strengths and offers distinct advantages for specific business needs.

Below, we break down these advantages and explain the best use cases for DeepSeek.

How is DeepSeek AI different from OpenAI and what does it mean for business?

DeepSeek AI and OpenAI both build powerful AI solutions for work and everyday life, but they take different approaches. These differences affect cost, performance, and real-world applications. Let’s go through this piece by piece.

Training: larger vs. faster

OpenAI focuses on large-scale supervised learning. It trains models on massive datasets and extensive computing power. This results in high accuracy and broad generalization.

DeepSeek AI takes a more resource-efficient approach. It uses fewer AI accelerators and less training time to develop models. However, it still achieves competitive performance.

For businesses, this means:

• OpenAI offers broad knowledge but needs more computing power.
• DeepSeek could provide a more cost-effective AI solution. It can be a better choice if you have budget or infrastructure constraints.

Purpose: versatile AI vs. general intelligence

OpenAI provides technology for a wide range of AI use cases. These can be chatbots, content generation, coding, or research assistance.

DeepSeek AI pushes towards artificial general intelligence (AGI). Its goal is to create AI that can problem-solve more like a human. While still in the early stages, its advancements in reasoning capabilities give promising results.

For businesses, this means:

• OpenAI may currently be a better fit for general NLP tasks, such as chatbots, content generation, and automated workflows.
• DeepSeek could better suit industries that rely on logical reasoning, such as finance, legal, and scientific research.

How AI learns: supervised training vs. trial-and-error

OpenAI learns by analyzing labeled data. This approach is used by the majority of AI models.

DeepSeek AI learns using reinforcement learning—a method where AI improves through trial and error. It also uses reward engineering, a method where AI earns rewards when it does something right. This approach stimulates it to make better choices over time.

For businesses, this means:

• OpenAI’s models might be more adaptable to a variety of NLP tasks but could require more human oversight.
• DeepSeek’s method may provide more predictable decision-making, which is useful for applications like automated financial modeling or strategic forecasting.

Model size: heavy vs. light

OpenAI’s models, like GPT-4, are huge. They need high computing power and work best in the cloud.

DeepSeek optimizes its models for efficiency. It even created versions as small as 1.5 billion parameters.

For businesses, this means:

• Need high accuracy and cloud-based AI? OpenAI is a solid choice.
• Want lighter AI that runs on smaller devices? DeepSeek might be better.

Reasoning ability: pre-trained vs. self-improving

DeepSeek discovered that complex reasoning can develop naturally in its models without explicit programming. This "emergent behavior" suggests that AI can refine its problem-solving skills organically through reinforcement learning.

For businesses, this means:

• OpenAI’s models are reliable for structured tasks but may not evolve reasoning as fluidly
• DeepSeek’s AI may handle unpredictable situations better

Five industries where DeepSeek AI stands out

How do you understand if Chinese AI technology is right for your business? Think about the industry you are in. Based on our experience with artificial intelligence solutions, here are five industries where DeepSeek makes a real impact:

DeepSeek AI in finance

DeepSeek AI in finance doesn’t just analyze numbers—it learns from real-time data and adapts to trends. That’s a big deal in finance, where timing is everything.

Best use cases:

• Predicting stock movements
• Assessing credit risks
• Helping investors fine-tune portfolios

DeepSeek AI in legal

Legal work is full of dense documents and tricky regulations. DeepSeek reads and understands legal texts quickly and accurately. This makes it a perfect fit to help with legal routine.

Best use cases:

• Reviewing contracts and spotting risks
• Automating compliance checks
• Analyzing legal cases and advising on better decisions

DeepSeek AI in scientific research

Science thrives on data. DeepSeek is able to process massive datasets. It spots patterns and refines hypotheses, so, you can greatly accelerate your research.

Best use cases:

• Finding new drug candidates
• Modeling climate change
• Mapping genetic variations to advance personalized medicine

DeepSeek AI in e-commerce

The biggest challenge for retailers is customer preferences. In e-commerce, DeepSeek AI helps understand shopping behavior, optimize inventory, and enhance shopping experience.

Best use cases:

• Predicting demand to reduce overstock
• Personalizing product recommendations
• Providing AI-powered analytics of buying patterns

DeepSeek AI in customer support

People expect fast, personalized service when it comes to customer support. DeepSeek makes chatbots sound more natural and tailors responses based on user preferences.

Best use cases:

• Humanizing chatbot conversations
• Automating customer service
• Providing personalized responses

How to start an AI development project: a step-by-step guide

Whether you are adding AI to an existing system or building an AI project from scratch, you need a consistent plan to do it efficiently. Here’s how to get started.

1. Define your goal

What is the problem you want AI to solve? Process automation, smarter decisions, or helpful insights? Set the right direction of business intelligence with AI from the start and you won't need to waste resources on changing it in the future.

2. Choose the right AI model

Choosing the right tech stack is crucial for any software project. An AI development project is no exception. When selecting an AI model, consider:

• AI learning method
• The computational power of your infrastructure
• Customization needs of your project

3. Check your data

A successful AI case study is based on quality data. Make sure you have:

• Diverse and reliable training data
• Live data feeds if you need real-time insights
• Unbiased data without inconsistencies

4. Follow regulations

Working with AI and data is heavily regulated by law. Regulations vary from country to country. So you need to thoroughly study the current restrictions in your region before you start developing. GDPR is the document you need to start with if you are working in the EU.

5. Partner with AI experts

AI projects aren’t something you want to hand over to beginners. To get the results you want without overspending, work with AI development companies who know the technology inside and out. The right experts will save you time, money, and headaches down the road.

Launch your AI product with Wetelo

AI helps businesses work faster, smarter, and more efficiently. It speeds up processes, delivers accurate results, and cuts costs. The best part? There are plenty of AI models to choose from, so you can pick the one that fits your needs.

Chinese AI technology DeepSeek is a hot topic right now. It’s gaining attention because it excels in specific areas like financial forecasting and legal document analysis. Plus, it’s less resource-intensive and more cost-effective than other AI models.

Choosing the right AI model—whether it’s DeepSeek, OpenAI, or another—can make or break your project. The wrong choice? A costly mistake.

With Wetelo, there’s no risk of getting it off track. With 10+ years of AI development experience, we build AI products that deliver real business value.

Ready to turn AI into your advantage?

Get in touch and see how Wetelo can help.

Let’s talk!