AI Development Company
Our artificial intelligence (AI) development services already power dozens of active engagements. We typically land our teams within 2 weeks, so you can start shipping top-quality software, fast.
Trusted AI partner to many companies.
AI Development Services We Provide
Custom AI Solutions
Personalized treatment recommendations. Dynamic pricing models. Adaptive learning platforms. AI-powered solutions can be tailored to meet business-specific needs and improve efficiency and productivity.
Using languages like Python and R, we build specialized models and algorithms. We fine-tune these models to perform particular tasks or integrate them into existing systems.
Machine Learning
Thanks to machine learning, computer systems can learn and improve from experience—all without human intervention. By analyzing and gaining insights from data, the model adjusts its parameters to make more accurate predictions.
Our developers use Python and ML libraries and frameworks, including TensorFlow, PyTorch, and Scikit. We leverage these and other tools to build models that fuel everything from predictive maintenance to disease diagnostics.
Predictive Analytics
Integrating AI into predictive analytics leads to more accurate, nuanced insights. With these data analytics, businesses can enhance business intelligence, make better decisions, and plan strategically.
We rely on data science languages, frameworks, and processing tools, including Python, R, Scikit-learn, and Apache Hadoop, to build predictive models. As they are exposed to more data points, these models become increasingly reliable.
Computer Vision
From image recognition to motion analysis, computer vision technology not only mimics but exceeds the capabilities of human vision.
Using convolutional neural networks, image processing libraries, deep learning frameworks, AR SDKs, and GPU technology, we create sophisticated computer vision technologies for a variety of industries.
Deep Learning
Virtual assistants, language translation services, and self-driving cars all rely on deep learning technologies. A subset of machine learning, deep learning processes huge volumes of data and understands complex patterns.
Building neural network architectures demands specialized skill sets and tools. Along with artificial intelligence frameworks and Python libraries, we use GPU acceleration tools, AutoML platforms, data preprocessing tools, and more to build complex deep learning models.
AI Chatbot Development
Chatbots are transforming fields like marketing and customer service with their ability to communicate with users, mirroring human conversation. They offer benefits beyond human capabilities, such as 24/7 availability, near-instantaneous response times, and multilingual support.
We create AI chatbots with platforms like Dialogflow, Natural Language Toolkit, Google Cloud Speech-to-Text, and additional tools. The result? Intelligent chatbots that engage in human-like dialogue.
Rolls Royce case study
Rolls Royce turned to BairesDev to develop an efficient, user-friendly mobile app. A two-week discovery process with the Rolls Royce product owner identified a comprehensive list of functionalities, data streams, and displays required to meet their clients’ expectations for a mobile SDS. Read the entire Rolls Royce case study.
Why Choose BairesDev for AI Development?
Specialized Expertise
Our engineers have specialized expertise in AI technology. They also have skills in a wide range of niches, languages, and tools. We hire only the top 1% of tech talent and bring a high level of expertise to every project.
Bilingual, Nearshore Talent
Most of our AI experts are based in Latin America, meaning that they are time zone-aligned with much of the US. Our talent is fully bilingual. This enables real-time communication and collaboration.
Custom AI Solutions
We are a custom software development company that specializes in creating unique solutions across 100+ industry sectors. Our AI models are crafted according to your business objectives and specifications.
The AI Ecosystem We Used in Previous Work
Deep Learning Frameworks
Specialized computational libraries, tools, and environments designed for developing and training deep learning models.
- TensorFlow
- Microsoft Cognitive Toolkit (CNTK)
- Caffe
- Caffe2
- MxNet
- Keras
Machine Learning Libraries
Libraries that offer a wide array of machine learning algorithms and data processing tools for more traditional, non-deep learning tasks.
- Scikit-Learn
- NumPy
IDEs and Code Editors
Applications used for software development, including writing, debugging, and maintaining the source code.
- Visual Studio Code
- PyCharm
- Eclipse
Cloud-Based Machine Learning Services
Offer machine learning capabilities as a cloud service, enabling developers to build, train, and deploy models at scale without managing the underlying infrastructure.
- Amazon SageMaker
- Amazon Rekognition
- Amazon Polly
AI-Assisted Coding Tools
Utilize artificial intelligence to enhance the coding process, providing features like code completion, error correction, and other forms of intelligent assistance to improve developer productivity.
- GitHub Copilot
- Tabnine
Testing and Modelling
Tools that leverage AI to automate the testing of software and user interfaces, ensuring code quality and performance while reducing manual testing efforts.
- Testim
- Appvance
Key Things to Know About AI
Tailored Solutions for Every AI Project
Frequently Asked Questions (FAQ)
How can integrating artificial intelligence benefit my business?
Integrating artificial intelligence into your operations and services can benefit businesses across industries. Leveraging AI services enhances decision-making, improves user engagement, and automates key processes. For example, you can automate routine tasks, personalize consumer experiences, anticipate outcomes, enhance security, and gain valuable insights from data.
How do you guarantee the security and integrity of AI projects throughout the development lifecycle?
We implement a number of measures to ensure the security and integrity of your AI projects throughout development. These include signing an NDA, performing extensive security audits, implementing access control measures, closely following data protection and compliance policies, and conducting regular security training. These practices allow us to maintain confidentiality and integrity.
How does outsourcing to AI companies work?
Outsourcing to an external AI company involves working with an outside provider to deliver products incorporating artificial intelligence. Outsourcing providers may augment teams with specialized talent or additional experts or complete projects autonomously. We offer three engagement models, each providing a different level of service: staff augmentation, dedicated teams, and end-to-end software outsourcing.
What's the difference between AI and machine learning models?
While the terms "AI model" and "machine learning" are often used interchangeably, they are different but related concepts. Machine learning is a subfield of AI that focuses on identifying patterns and improving as the model gains more data. While all ML models are AI Models, the reverse is not true.
How Businesses Can Overcome the Software Development Shortage
BairesDev Ranked as one of the Fastest-Growing Companies in the US by Inc. 5000
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