Top AI Developers 2025: How to Choose the Best AI App Development Company

Various artificial intelligence (AI) market research sources claim that the volume of the artificial intelligence market is expected to reach almost 827 billion dollars by 2030 with a CAGR of nearly 28 percent from 2025 to 2030.

AI app creation is the process of developing software apps that utilize AI models and algorithms for analysis of the data, learning from it, predicting, and responding smartly to interactions with users. Machine learning (ML) technology is used for service and innovation driving in various fields, from cybersecurity and legal research to healthcare automation.

Multiple companies around the world provide AI app development services and it can be difficult to select the most appropriate one from the list of popular AI platform software brands. Let's read what some of the major players in the AI app development field have to offer.

Top AI Software Development Companies in the USA

Belitsoft

Outsourcing AI development company Belitsoft provides SaaS startups with generative AI development services to create Gen AI apps. When creating an application, developers work in stages: first, the application is designed and experimented with, then built and finally deployed.

During the development stage, programmers research and evaluate models from open-source communities or popular repositories (e.g., Hugging Face). Given the model's performance and size, developers use benchmark tools and different prompting techniques (chain-of-thought prompting, zero-shot prompting, etc.).

When creating genAI apps, Belitsoft developers cut the cost of AI development by using the right frameworks, such as LangChain, and tools.

When deploying, a hybrid "Swiss Army knife" setup approach is preferred — for different use cases different models are used, and cloud infrastructure is combined with an on-premises one to optimize budget and resources.

Once AI-powered apps are launched into production, Belitsoft specialists conduct benchmarking, monitoring, and handling of exceptions thrown by the app.

According to surveys, many companies launch up to several dozen genAI experiments and expect to scale up about a third of their proof-of-concept AI within three to six months. These organizations are from key industries such as technology, financial services, telecommunications and media, healthcare, etc., and/or are advanced in the use of AI. The market demands that business leaders quickly realize the benefits of AI, so the initial prototypes are needed within a few weeks.

Belitsoft specialists create prototypes to support short cycles of products very quickly and focus on projects that promise quick wins (such as automating a specific task).

The multidisciplinary team consists of data scientists, machine learning (ML) and AI specialists, and ML engineers. Belitsoft software engineers integrate AI into products. They also set up the deployment pipeline. UX designers develop intuitive experiences based on AI.

For small companies and SaaS startups, full-stack AI engineers handle multiple tasks, from developing models to writing front-end code. In the early stages, one or several ML engineers quickly build a prototype for them using public APIs, which allows startups to follow their budget constraints.

For AI projects, enterprise customers like Fortune 1000 companies get larger cross-functional teams. Belitsoft brings in data engineers for pipelines and data preparation, MLOps engineers for model deployment and monitoring, and security experts.

OpenAI

This company designed ChatGPT — an AI tool that utilizes large language models (LLMs). AI technologies, which are developed by OpenAI, optimize business processes and empower interactions in real time. The company partners with Microsoft, which in turn provides advanced automation systems, virtual assistants, and other secure genAI solutions for different industries.

Microsoft

Microsoft and OpenAI have a long-standing partnership that is backed by billions of dollars in investment. In 2019, Microsoft Azure became the sole provider of OpenAI cloud solutions thanks to this. The company uses machine learning models and AI-powered tools to improve efficiency and productivity in various industries. OpenAI is integrated into Microsoft’s Prometheus model. The company also aims to rebuild its Bing search engine, also known as Copilot, to compete with Google in the search market. In enterprise AI use cases, Microsoft Bing provides real-time automation solutions and advanced AI assistants to optimize workflows.

IBM Watson

IBM clients can make better decisions with the Watson AI product portfolio. IBM offers Watson Studio services for designing and developing AI applications for enterprise clients. The company's solutions include AI apps that improve customer service, simplify workflows, predict outcomes, and reduce costs.

Among the case studies that IBM presented, there is the creation of models for predicting and preventing mortality from sepsis based on clinical data of inpatients. These models have shown high efficiency in situations where time matters and rapid analysis of insurance claims data allows for faster decision-making, for example, on urgent medical interventions.

AWS AI

One of the AI and ML services provided by AWS AI (headquartered in Seattle, USA) is Amazon SageMaker. This solution makes it faster and easier for engineers to build, train, and deploy ML models. Customers across industries use AI and ML tools from AWS AI to personalize, automate, and optimize their business workflows.

Using AI tools, AWS AI customers can improve response rates by creating messages and emails based on the behavior and profile of the prospect. By analyzing service, product, industry, and customer segment, they can create talking points or sales scripts.

Google AI

This branch of Google is engaged in developments in the fields of natural language programming, machine learning, and computer vision. Google AI research and development have led to the creation of Google Cloud AI, Google Translate, and Google Assistant.

Google Cloud’s LLMs technologies and GenAI capabilities transform the fast-food restaurant industry’s customer experience when ordering food in the drive-thru mode. A voice-controlled AI assistant replaces an employee. It processes customers’ voice requests for orders and generates answers to popular questions. Integration with the POS system allows the AI assistant to quickly create an order and send it to the kitchen.

Salesforce Einstein

With AI-powered customer relationship management (CRM) tools, companies can provide personalized customer experiences. They use machine learning, automation, and predictive analytics. Einstein AI’s functionalities enable workflow automation, lead scoring, and sales forecasting.

In particular, sellers can use Salesforce Einstein AI solutions to automatically generate sales pitches for each lead individually. The AI tools use CRM data for phone and email introductory messages.

The assistant bot studies the customer's latest CRM data to prepare or correct an email that matches the lead's needs in context and tone.

Deloitte AI

This professional services firm offers companies from various business industries (government, healthcare, finance, etc.) comprehensive services of AI strategic planning and development. Deloitte AI clients use AI solutions to increase efficiency, automate processes, and improve decision-making.

Generative AI models continuously and simultaneously find discrepancies, patterns, and anomalies and perform a root cause analysis in real time. This is important for risk management processes.

Intel AI

This AI hardware market player offers services and products ranging from advanced AI processors and chips to AI software to help companies in industries such as financial services, cybersecurity, automotive, and healthcare develop and scale AI apps. AI services and products drive progress in real-time data processing and automation, enabling the creation of advanced AI models and effective machine learning.

Which AI Use Cases Show the Most Promise for Companies?

Open access to AI tools has inspired companies to change how they operate and start using GenAI technology in various areas. According to Deloitte research, the IT function occupies a leading position — 28%, operations account for 11%, marketing — 10%, cybersecurity and customer service — 8% each.

In the consumer industry, GenAI apps are used for IT and marketing functions and their volume of GenAI initiatives is 20% each; the volume of customer service initiatives is 12%. In the financial services industry, the most scaled GenAI initiatives are IT (21%), cybersecurity (14%), and finance (13%). In the government industry, IT initiative occupies 96% and operations — only 3%.

Also, Gartner notes that by 2029, the customer service and support industry will be transformed by advanced agentic AI tools, which will autonomously resolve 80% of tasks without human intervention. In this case, generative AI is one of its key components.

According to the Harvard Business Review survey, 89% of respondents expect that AI will become the most transformational technology in a generation.

This drives overall investment in corporate data and AI initiatives. Nearly 99% of companies surveyed say they have increased their investment in AI, with nearly 91% citing it as their top priority. Respondents specify that they see the value of their investment in measurable, quantifiable business results that can be tracked through metrics such as increased productivity and revenue, improved customer acquisition, retention, and increased customer satisfaction.

The percentage of companies allocating from 20 to 39 percent of their overall AI budget to GenAI increased twelve points in 2024.

AI has the potential to shape major areas such as finance, healthcare, cybersecurity, and education.

Fintech Industry

In 2025, the financial sector is shaped by the following trends — AI chatbots for customer service, algorithmic trading, customized financial services, risk assessment, customer authentication, regulatory compliance, transaction optimization, and risk assessment.

Cybersecurity

AI tools enable companies to monitor security in real time, detecting malicious digital footprints, intrusions, and fraud. AI-based software performs predictive and simulation modeling so that the company is prepared for possible attacks from hackers and cybercriminals.

Healthcare

The development of AI is important for various areas of healthcare: chatbots provide initial consultations for patients with mental health problems, and AI-equipped robots ensure precision in complex surgeries. AI tools conduct large-scale data analysis, optimize the management of clinical patient data, identify healthcare trends, and predict possible disease outbreaks.

Moreover, the biomedical and healthcare fields advance with the contribution of AI technologies in medical image analysis, patient diagnosis, personalized drug prescription, follow-up monitoring of treatment progress, drug development, and predictive analytics.

Education

AI technologies enable teachers to create advanced learning materials to make the education process more adaptive and save time. AI tools can analyze students’ progress to identify gaps in their knowledge and adjust their learning, as well as provide students with individual assignments and rewards based on their performance.

How to Choose a Company that Provides GenAI Services?

There are several important criteria for choosing the best AI company: data protection and privacy measures, domain knowledge, experience and expertise, reputation, portfolio and client reviews, and budgetary considerations.

Make sure the company possesses strong data protection controls when you deal with sensitive data.

Having the specific industry or domain knowledge of the company can be a difference-maker in terms of how effective and relevant the artificial intelligence solutions they provide will be. A domain-expert company is more apt to have insights into the exact business problems.

The team's level of experience, as well as credentials and training in AI technologies, ensure effective and comprehensive collaboration. In addition, it is important to evaluate criteria such as the team's working methodologies, adaptability, and availability.

When choosing an AI product development team, it is important to pay attention to its client base and list of completed projects. You can also talk to past or current clients who have sought services from the AI company.

It is important to conduct an in-depth study of the supplier's payment policies, pricing model, warranty policies, quality control guidelines, and delivery timelines.

The agency must be in touch throughout the work process. It has to ensure transparent communication, regular feedback sessions, and joint discussions of adjustments. One of the key indicators of transparent communication is an agile project management methodology with set sprint deadlines, within which the team performs a certain amount of work, reports on the results, and discusses possible improvements with the customer.

An AI solution must grow with the customer’s business and meet increasing demands, so it is important that the artificial intelligence development company chosen is able to scale your project.

After development, an AI product needs maintenance and continuous support. The customer should make sure that the AI team provides appropriate services after development.

Benefits of Collaborating with Companies that Develop AI Software

One of the key benefits of collaboration with top AI development companies is experience and deep knowledge in the field of frameworks and advanced AI algorithms. The client doesn't need to spend time on internal training of their in-house engineers. In addition, there are other benefits.

AI-Powered Solutions Are Tailored to the Client's Business Goals and Objectives

The development company offers customized services and solutions, from designing intelligent recommendation systems for personalized customer experience to developing AI-powered chatbots for communication with users.

Cost-Effectiveness without Additional Budget for Hiring and Training Staff

A company that needs an AI solution building can spend a lot on recruiting and training its internal team. The experience of a third-party AI development company is a more profitable alternative for the client to build its infrastructure.

AI-Powered Technologies Improve the App Development Process

Engineers save time and can focus on more important responsibilities when routine tasks are automated with AI tools. Collaboration with an AI software development company involves the creation of flexible engagement models. The client can order a small project to prove their concept, and if desired, incorporate AI incrementally at the enterprise level.

What Are the Current Trends in AI Development?

When looking at the statistical cross-section of broad AI categories such as virtual assistants, natural language, machine learning, robotics and process automation, and computer vision, the McKinsey Global Institute projects that by 2030, approximately 70% of all companies will likely have adopted at least one AI tech category. No more than half of the companies will adopt all five categories, and there will be many different companies in between at different stages of AI adoption.

At the average rate of AI adoption, AI is expected to add approximately 13 trillion dollars to the global economy by 2030. This number is equivalent to a 16 percent increase in cumulative GDP compared to today’s level.

AI models are expected to continually adapt and learn from changing conditions, accumulating new skills and knowledge in addition to what they have already learned. Specific future trends include:

More Complex AI Algorithms

AI systems are predicted to use generative models, reinforcement learning, and deep learning to improve efficiency and performance in different tasks.

AI for Edge Computing

With the development and spread of edge computing, AI models and algorithms allow users to lower latency, be less dependent on cloud infrastructure, and process data in real time.

Ethical AI Systems and Addressing Bias

AI systems are designed to be fair, ethical, and include mechanisms to detect and mitigate bias, ensuring equitable and responsible deployment.

Responsible Use of AI

Transparency, accountability, and ethical behavior of AI systems are possible thanks to the creation of best practices for the development, deployment, and utilization of these systems, as well as standards and regulatory policies.

Multimodal AI

In the future, greater interaction and understanding of different contexts will be possible through the integration of data from multiple text, video, audio, and other sources.

Providing a Personalized Experience

AI algorithms will enable personalization across a variety of industries and applications, including content curation, bespoke recommendations, targeted marketing, and adaptive learning.

Explainable AI (XAI)

Today, developers create AI models and/or functions that operate in a more transparent way, explaining their decisions. This increases interpretability and trust from users. This is especially important for financiers, healthcare professionals, and lawyers.

ML and NLP

Advances in NLP mean that AI could respond to cultural subtleties, idioms, and emotions, understanding nuances and context when communicating with a person, rather than just the meaning of words.

Popular NLP apps include AI search, which leverages the power of large language models (LLMs) to improve the way people search for information on the internet. LLMs can answer questions as if they were humans, create and sort text, recognize text in different languages, and translate it from one language to another.

How Does an Outsourcing AI Software Development Company Belitsoft Help?

Deloitte says that 68% of executives rate their skills gap as extreme or moderate, while 27% report an extreme or significant gap. These companies are looking for experts to help expand their capabilities.

The professionals in greatest demand are the ones who build AI-based solutions. These are the researchers who create new types of systems and AI algorithms, the software engineers, the data scientists, and the project managers who make sure that AI projects are carried out according to plan.

But searching for such specialists or retraining in-house ones can be expensive for an organization. The profitable option is to rely on a credible AI custom software development firm.

Clients from multiple industries — from healthcare to finance — choose Belitsoft due to our 20+ years of deep expertise in building SaaS solutions, including AI-powered B2B SaaS products. Representatives of the Belitsoft team also provide customers with in-depth tech knowledge in machine learning, including specialized frameworks for LLM and NLP.

By outsourcing the development of an AI product, a client can cut costs in half while still maintaining the necessary oversight and control. Both AI startups and enterprises can rely on the custom APIs development, MVP development, cloud migration, and other comprehensive software development services that are adapted to any business specifics. Belitsoft provides customers with new app version releases one or two times a month. It also offers:

• Collecting client data from various sources in the staging base of data through direct API connections, tools for batch processing, and continuous streams
• Storing AI analysis data separately in the warehouse
• Implementing TLS and SSL encryption and multi-factor authentication to better secure the sensitive data of clients
• Handling complex projects with trusted methodologies like Agile
• Using specific protection protocols for HIPAA, PCI, and GDPR compliance (and other standards, depending on your industry-specific project)

We utilize Continuous Integration (CI) and Continuous Deployment (CD), and develop AI systems that are able to grow according to the needs of your business.

Partner with Belitsoft to get secure, custom-designed AI software and integrate analytical AI systems, AI chatbots and machine learning models. We take a consultative approach, understand the client’s unique challenges, and craft a solution accordingly. Contact us and we will promptly discuss your project requirements.