AI DEVELOPMENT
Proactive. Predictive. Powerful.
Need Any?
AI Development Made Simple
As you are progressing into your AI implementation journey, you may have discovered unforeseen challenges like depth of scientific or programmatic experience required, lack of capacity for development or project management, scarce linkages between engineering and business stakeholders, etc. Our full-spectrum AI development services can help you overcome those challenges and advance quickly on your path towards achieving business advantages.
WHAT ARE THE COMMERCIAL APPLICATIONS OF AI?
The advantages of AI can be applied to practically every business domain. Some of the most common use cases include customer service with AI-powered virtual assistants, marketing thanks to predictive AI capabilities, healthcare for medical image analysis, finance for assessing credit risks and manufacturing for optimizing supply chains etc. Contact us below so we can discuss your specific case in details.
WHAT ARE AI DEVELOPMENT SERVICES?
AI development services provide you with the experience of software engineers, business analysts and data scientists so you can start leveraging the benefits of AI quicker and at a fraction of the cost of developing AI solutions with the existing capabilities of your own team. There are multiple configurations your outsourced team can take, based on your requirements, and you have freedom in negotiating the terms of delivery to your best advantage.
WHAT AI DEVELOPMENT LANGUAGES CAN BE USED?
Some of the most popular AI development languages are Python, known for its readability qualities and large number of supportive libraries and frameworks, and R, specifically used for statistical analysis and data visualization. Some more conventional programming languages like Java and C++ are also used for developing AI applications. The most suitable choice for your business depends on your existing technology ecosystem, future scalability needs, skills of the team etc. and is a matter of discussion with your development partner.
HOW TO SELECT THE RIGHT AI PARTNER?
Finding an AI development partner, to help you realize your business’ potential to the fullest, asks for proper due diligence. In your preliminary conversations, go over topics like protection of intellectual property, data security and privacy, regulatory compliance. Do your research on vendor track record and require references. The right partner will leave you confident for entrusting them with the technology aspect of your business growth.
WHAT ARE THE COSTS OF AI DEVELOPMENT?
Like other software development projects, the cost of AI development services can depend on multiple factors such as team size, the proficiency of the engineers or the duration of the commitment. Working with a development partner gives you the flexibility of scale, experience and skills versatility that is hard to maintain in-house, and this is a factor to take into consideration when calculating costs.
How Can AI Be Successfully Adopted?
Apart from developing from the ground up ecommerce solutions, we work with some of the leading platforms to help you save time and budget without compromising on customer experience.
- Develop a clear AI strategy that aligns with the organization's goals.
- Assemble a team with the right skills and expertise to develop and implement AI solutions.
- Ensure that the organization's data is high-quality and well-organized.
- Choose appropriate AI tools and technologies that align with the organization's needs.
- Test and refine AI models and solutions before deploying them in production.
- Ensure that AI solutions comply with relevant laws and regulations.
AI Development Process
PROBLEM DEFINITION
It is important to clearly define your business needs and understand the scope of the solution. This step involves understanding the user's requirements, the problem domain, and the available data sources. The output of this step is a well-defined problem statement that outlines the problem, its scope, and the expected outcomes.
DATA PREPARATION
The data preparation process typically involves data cleaning, data normalization, data integration, and data transformation. This step is critical, as the quality of the data used to train the model directly impacts its performance. The output of this step is a cleaned and formatted dataset that can be used to train the model.
MODEL DEVELOPMENT
The model development process typically involves selecting an appropriate algorithm, configuring the model, and training it using the prepared data from step 2. The output of this step is a trained model that can be used to make predictions or generate insights based on new data.
MODEL EVALUATION
Model evaluation is essential to ensure that the model meets the expected performance metrics and accuracy levels. If the model meets the desired criteria, it is deployed in the production environment where it can be used to solve the problem for which it was developed.
Accedia Capability Center
Accedia’s AI Capability Center is an innovation-driven initiative that aims to make AI accessible to business organizations of all scales. We combine in-depth scientific expertise and end-to-end application development experience to help you make the most of intelligent solutions. You can take advantage of:
- AI model repository addressing common pain points to quickly deliver value
- Proprietary AI solution implementation methodology based on previous experience
- End-to-end capabilities in core areas such as Computer Vision & Natural Language Processing, and Data Science
- Dedicated cross-functional AI team with skills ranging from hardcore science to product app development
Build solutions on the basis of cognitive algorithms that extract information from big datasets in real-time and classify it in meaningful categories without needing human input.
Discover and analyze content, accelerate extraction, and deliver highly accessible products that more people can use by embedding vision capabilities into your applications.
Ensure endpoint protection over your systems with ML algorithms that analyze data to find patterns and detect malware in encrypted traffic, insider threats, and suspicious user behavior.
Gain better insights from unstructured data by interpreting human languages and behavior with speech recognition, natural language understanding, and natural language generation.
Use your historical or existing performance data by implementing predictive models that forecast business results, market trends and user behavior so you can take relevant actions.
Facilitate organic interaction with end-users by answering questions, following a conversation and accomplishing customer service tasks with agents like chatbots and virtual assistants.
Design and implement self-learning processes tailored to your business to automate repetitive tasks, reduce downtime and obtain end-to-end workflow visibility.
AI Technology Capabilities
Choosing the right technology stack is at the foundation of your project success. Expert in wide spectrum of ML and AI, web and mobile technologies, we help you make the best decision, considering your AI development requirements and business specifics.
Client Testimonials
Mudita has supported us with on-demand consulting services around solving our technology challenges, as well as advising us on how we can enhance and improve our data reporting procedures.
Steve
Their versatile experience with enterprise application development, commitment to best results through explicit onsite visits and undisrupted online communication, makes us confident for having a steady development partnership for our future digital initiatives in renewables management, virtual plant modeling and e-commerce.
Joel
With assistance from Mudita , we moved to newer and more secure hardware and software environments and saw an improvement in the software speed and the UX. The team from Mudita has been collaborative and has a high level of technical knowledge relative to cost.