Gain your competitive edge with
Artificial Intelligence

AI is when you use computers to perform tasks that normally require human intelligence. This can take a huge variety of forms, combining a variety of technologies, allowing computers to sense, learn, and act like humans. At the moment, we only have what’s called “Weak AI” - also known as “Narrow AI” - which is AI that’s focused on performing a specific task. Despite its name, Weak AI is actually incredibly powerful, fuelling the driving of autonomous cars and chatbots. On a theoretical level, computer scientists and other technologists are studying “Strong AI” - which includes Artificial General Intelligence, where computers would have the ability to solve problems like a human brain, and Artificial Super Intelligence, where computers would have the ability to think and solve problems far better than a human, without human errors.

If you're interested in where the future of AI is headed, reach out to Startechup. We are an experienced AI development company at the forefront of artificial intelligence development.

Yes, many software developers use cutting-edge technologies like AI, and there are specific development roles that focus on artificial intelligence. Not only does AI allow you to implement cutting-edge features in products, it can also streamline the whole software development process. That’s why our technology company, Startechup, uses artificial intelligence to plan projects, schedule testing, identify optimizations, and make decisions.

“AI” can feel like a buzzword, but there are plenty of powerful AI tools that have changed the way we interact in our daily lives. For example, smart home devices like Amazon Alexa and Google Home utilize AI in order to better understand our commands. eCommerce companies like AliBaba also use AI tools and predictive analytics in order to predict what customers are going to buy next - enabling them to optimize their marketing and advertising spend.

We are a full-service AI software company, and we have created a clearly defined process for developing AI software solutions. First, we sit down with your key stakeholders to understand your business goals, your product vision, and your AI ambitions. Our business analysts use this information to ensure our development work fuels your larger business goals. We also use this phase to discover if there are any further services or expertise you require for project success, like big data consulting and data engineers. 

Then, we delve into an in-depth planning phase, in which we outline key requirements, the definition of success, and work packages. Only then does our highly-skilled team of software engineers and AI developers move on to development, implementing your AI solution, and incorporating robust data sets, machine learning, and other complementary emerging technologies. The application development phase is followed by extensive manual and automated QA software testing, before deploying to your users. At Startechup, we guide you through every stage of the AI development process. Get in touch today to see how we could help you innovate.

Both AI and machine learning can generate powerful, actionable insights. However, they are not quite the same thing. AI is the more general field of getting a computer to think and act at the level of - or above the level of - a human. Machine learning development is a type of AI, where a computer learns and improves by analyzing structured data (not unstructured data) over time, without being explicitly programmed. Both machine learning can be used to gain deeper insights in fraud detection, predictive maintenance, and speech recognition. It can also help businesses to optimize their processes and improve the customer experience in order to reduce customer churn.

Digital solutions powered by AI have a huge range of use cases. In fact, AI has the power to transform almost every industry. Examples include:

- AI-powered web design - Sentiment analysis that enables users in a business or nonprofit organization to understand customer behavior better in order to reduce customer churn - AI-powered business intelligence to solve business problems and enhance decision-making - Digitalization in the chemical industry - Automated problem-solving, traditionally carried out by medical professionals, in the healthcare industry - AI app development, like voice assistants - Supply chain predictions and supply chain recommendations - Automation of manually-performed business processes - AI applied to data science for predictive analytics - AI customer churn modeling and predictive analytics - Drones that use AI to identify the sources of pests in homes for a pest control company - Expense claim management automation As one of the leading offshore artificial intelligence companies, we have diverse experience developing AI custom software development across a huge range of industries. We combine experts in multiple fields - including data science, AI, machine learning, and computer vision - to help you build innovative solutions.

There are several ways to include artificial intelligence (AI) in your digital projects, depending on the specific project and the business problem you are trying to solve. Some general strategies to consider include the following:

1. Enterprise digital solution development: AI can be incorporated into enterprise-level digital solutions such as enterprise resource planning (ERP) systems and customer relationship management (CRM) systems to automate tasks, improve decision-making, and provide more personalized experiences for customers.
2. SaaS application development: AI can create intelligent and self-learning SaaS applications that can improve over time and adapt to different use cases.
3. Digital transformation: AI can drive digital transformation initiatives across an organization by automating processes, improving decision-making, and enabling new business models.
4. Application modernization: AI can modernize legacy systems and applications by incorporating AI-based functionality such as machine learning, natural language processing, and computer vision.
5. Incorporating AI into specific features of a digital project, such as chatbots, voice assistants, predictive analytics, AR and VR app, and image recognition.
6. Using AI to improve user experiences and personalization, such as using natural language processing to understand user intent or using machine learning to personalize content and recommendations.
7. Incorporating AI into analytics and reporting to gain insights, predict trends and identify patterns in data.

When incorporating AI into your digital projects, you must consider the specific business problem you're trying to solve and the outcomes you want to achieve. It's also essential to understand the different types of AI techniques and technologies available and to work with experts in the field to ensure that the AI implementation is robust, accurate, and compliant with relevant regulations.