First conceptualized in the 1950s, AI has long ago become a game-changing opportunity: 50% of US mobile users use voice search daily, ChatGPT garnered 1 million users within the first five days of its release, and 10% of vehicles are expected to be driverless by 2030 (Forbes data).
Considering the business sector, Global AI Market is expected to grow at a CAGR of 36.6% from 2024 to 2030. AI software development being a way to get ML-powered solutions to automate repetitive tasks, instantly process large amounts of data, deliver insights, and generate content, has already become an integral part of business operations and user-facing apps.
At Curie Tech, we offer such AI development solutions as generative AI systems, process automation, chatbots, text analysis systems, voice and speech recognition solutions, computer vision, seamless integration and ongoing support services, custom AI solutions, AI frameworks, and machine learning operations (MLOps). Continue reading to discover more about our services:
Custom AI solutions
Tailored AI systems are designed to meet unique business needs, from optimizing workflows to solving industry-specific challenges. Custom solutions leverage exceptional datasets and are built to fit the goals of individual organizations. Compared to off-the-shelf products, custom AI systems are more scalable, secure (take unique risks and compliance requirements into account), and exceptional — some of the features can even be unavailable on the market yet but offered to you by a service provider. For example, Curie Tech delivers state-of-the-art AI solutions that suit companies with unique requirements and a desire for competitive differentiation.
Generative AI solutions
If you seek quick, cost-effective AI integration with less concern for customization and uniqueness, meet ready-made generative AI systems that create new content (text, images, or music) based on input data. They are used in fields like marketing, design, and content creation to automate creative processes. With this solution, creating an article for a blog or video for Insta stories is a matter of seconds, not hours or days. ChatGPT, DALL-E, Gemini, and GitHub Copilot are the most popular models. To get ahead of your concerns, we highlight that 65% of consumers still trust businesses that employ AI technology. As McKinsey states, CEOs should consider generative AI exploration a must, not a maybe.
Process automation solutions
AI-driven process automation allows businesses to simplify repetitive and laborious tasks and free up workers for higher-level activities. It is used in payroll processing, data management, and customer service. Automating these tasks optimizes costs, improves speed, and ensures consistent output, resulting in higher operational efficiency and fewer human errors.
Chatbots
AI-powered chatbots are essential for businesses that seek to engage with customers more effectively. Such bots can answer frequently asked questions, troubleshoot problems, and guide users through processes. Advanced chatbots use natural language processing (NLP) to understand and respond in a human-like manner, which improves the customer experience and reduces the need for agents. As of today, around 60% of B2B and 42% of B2C companies use chatbots.
Text Analysis solutions
Need to extract insights from a huge article? Want to quickly find stats and research? Text analysis leverages AI to interpret and extract meaningful insights from large volumes of text data. These solutions are widely used in sentiment analysis, where businesses assess customer feedback to understand public opinion. Text analysis tools also help organizations categorize content, detect trends, and make data-driven decisions, offering a strategic advantage in niches like marketing, finance, and research.
Voice and Speech recognition
Voice and speech recognition technologies enable machines to understand, process, and respond to spoken language. These solutions are critical for voice assistants like Siri or Alexa, transcription services, and voice-activated controls in smart devices. With advancements in AI, speech recognition has become more accurate and adaptive, making it an integral part of many applications in healthcare, customer service, and retail. For now, 50% of U.S. mobile users use voice search every day.
Machine Learning Operations (MLOps)
MLOps focuses on standardizing and streamlining the end-to-end lifecycle of machine learning models, from development to deployment and ongoing monitoring. This approach ensures that machine learning solutions are scalable and can be updated or retrained without downtime. By combining development and operational workflows, MLOps improves collaboration between data scientists and IT teams, making AI solutions more robust and reliable. As of 2023, 97% of users who have implemented MLOps have observed a significant improvement in development and better results.
AI Assistants in Web & App Development
AI assistants in web and app development revolutionize developers' work: AI automates debugging, code generation, and optimization. These tools help devs write more efficient code, reduce errors, and improve the overall performance of applications. With AI assistants, the development process becomes faster, which allows teams to focus on inventions and user experience. McKinsey’s 2023 research reveals changes in the most frequently hired positions in organizations utilizing AI: data engineers, machine learning engineers, and AI data scientists. Developers who use advanced AI tools can enhance their skills and efforts, as well as focus on problem-solving.
Industries AI Use Cases
Artificial Intelligence is a crucial tool across industries that optimizes operations, improves decision-making, and enhances customer experiences. Its diverse applications range from healthcare and finance to education and logistics. Discover various use cases of AI below:
Healthcare. AI has revolutionized healthcare by assisting in disease diagnosis (through the analysis of medical images and patient data), creation of personalized treatment plans, automation of tasks, reducing the workload of staff, generation of chemical compounds with desired properties for drugs, medical simulations, and much more.
Software Development. AI in software development automates code generation and improves its quality. It also detects potential bugs and suggests fixes. Additionally, AI enhances the software testing process by automating tasks like unit and performance testing, increasing overall efficiency. At Curie Tech, we develop web and app software using AI assistants. Moreover, our apps have a range of AI-powered features, including voice-activated assistance, natural language processing, and even facial recognition, tailored to meet the specific needs of our clients.
Logistics and Transportation. AI transforms logistics by analyzing traffic patterns and weather conditions to optimize delivery routes, improve fuel efficiency, and reduce delivery times. In transportation, AI-driven vehicles reduce human errors and enhance road safety. AI also manages fleet operations, including vehicle maintenance, to improve efficiency and reduce downtime.
HR and Recruitment. In HR, AI automates key recruitment processes, such as scheduling interviews and performing initial CV reviews, improving hiring quality. AI also aids in onboarding and helps new employees complete paperwork and training more efficiently, making the process smoother for HR managers.
Finance. AI in finances is enhanced fraud detection, assessment of the client creditworthiness, trade execution, personalized banking, algorithmic trading, sustainable investing, quick market analysis, streamlined tax filing and planning, as well as real-time reports. These use cases illustrate AI’s broad and transformative potential in the finance sector.
Telecommunication. AI optimizes network performance — it analyzes traffic patterns and reduces overload, ensuring better service for users. Additionally, AI-powered chatbots handle customer inquiries, which speeds up response times and improves satisfaction. These systems also enhance security by detecting fraudulent activities like account takeovers and unauthorized usage. In 2023, AI was used the most by enterprises in the information and communication sector.
Education. AI personalizes learning by developing custom educational plans that address each student's strengths and weaknesses. It also assists teachers with administrative tasks, such as grading and scheduling, which allows them to focus on teaching. Virtual tutors powered by AI help students by answering questions and simplifying complex topics.
InsurTech. AI enhances risk assessment and underwriting by analyzing extensive datasets, including market trends and customer information, to determine risks and calculate premiums more precisely. AI-powered virtual assistants are available 24/7 to process claims and provide policy details, improving customer service.
Real Estate. AI tools in real estate analyze market trends, location data, and property features. In such a way, artificial intelligence helps buyers, sellers, and agents make informed decisions. Predictive AI technologies monitor real estate maintenance needs, while AI platforms create property recommendations based on buyer preferences and budgets.
Summary
AI revolutionizes business operations across various industries: tasks that once required significant human intervention (diagnosing diseases, managing finances, and optimizing logistics) became automated and more accurate. AI adoption is growing rapidly, with over 30% of large EU enterprises utilizing AI technologies in 2023. These solutions enable faster decision-making, automation of repetitive tasks, and customer interaction improvement, which allows businesses to stay competitive.
From healthcare, where AI assists in treatment planning and drug creation, to IT with AI-driven software testing and code development, the impact of artificial intelligence is profound. AI-powered solutions also transform sectors like logistics, HR, real estate, finance, and education. As AI technologies continue to evolve, businesses have the opportunity to integrate custom and generative AI solutions, chatbots, and automation tools, significantly transforming traditional workflows.
Curie Tech also offers AI development services, such as generative AI systems, process automation, chatbots, text analysis systems, voice and speech recognition solutions, computer vision, seamless integration and ongoing support services, custom AI solutions, AI frameworks, and machine learning operations (MLOps). Curie Tech is expertise & skills, client-first approach, quality assurance, cost efficiency, and agile product development!