Automate Your Workflows With AI
Integrating AI into a business can significantly enhance efficiency, decision-making, and customer satisfaction. AI can automate repetitive tasks, allowing employees to focus on more strategic activities.
For instance, companies from EdTech, FinTech, publishing and retail industries have to deal with numerous data sources (documents, queries, application forms and assignments), that require many hours spent for analysis and checking. A convenient AI tool becomes a desirable helping hand.
Overall, AI helps businesses stay competitive, innovate, and adapt to changing market demands.
Silk Data Team – Trusted AI Developers
However, it’s not easy to hire AI developers, who will guarantee that the solution will fit you.
Silk Data is here to help!
- Our formidable experience in AI development and the vast range of services that we provide, make us the AI development company you need.
- Our AI specialists - some of them are PhD experts with more than 20 years of practical and scientific experience - oversee all our AI projects, so the solutions we offer have a specific scientific and commercial justification.
- We pay special attention to the AI development field, so the question of team selection is one of the most vital. We make sure that only the specialists of the Middle+ level with comprehensive knowledge of AI development will start working on your project.
Our Artificial Intelligence and Machine Learning Services
Our specialization lies in providing artificial intelligence development services mostly focused on text and image data processing and analysis. Through that, we offer a vast range of solutions that can fit most of the queries from that field.
NLP
Natural language processing (NLP) is one of the most popular fields of AI usage as it builds a way to the ‘computer – human language’ interaction. Its purpose is to understand, process and generate human language in the way needed.
For example, you can perform CV screening and processing and automatically get the most valuable data, or you can get the specifics and understand the attitude about the object through news articles comparison. If you educate someone, you’re also able to create tests or quizzes based on books, articles and other materials through our ChatGPT-based solution. The same is with marketing – if you wish to better the workflow of your marketing team, we can create an AI-powered chatbot based on the Large Language Model (the same that is used for ChatGPT) that will cover this task.
MVP Generative AI Development
If you don’t wish to buy a pig in a poke, it’s possible to ask for a prototype of the future solution where all the basic functionalities will be presented.
This possibility is one of the most vital approaches of our AI development services, as we’re aware of the importance of your business understanding the results and perspectives of our work.
MLOps in Data Preparation and Cleaning
Every AI model requires thorough preparation stage for its training. In most cases it requires loading the model with tons of data - texts, queries, statistics - that will demonstrate the tool the specifics it’ll have to work with.
Our MLOps approach is responsible for this stage, ensuring that the AI model will learn effectively from the data we offer. It achieves this through proper data structuring and cleaning. In the end, it ensures that the model or app updates process quicker and without performance losses.
Approach We Use in Our AI Development Solutions
Incremental Delivery and Flexibility
We practice many business and development approaches, including Data and Business Analysis (for better understanding of business idea realization and costs) PoC and MVP development (for getting practical data on whether the result fulfills the needs of the customer) and new features deployment (for consistent product improvements).
Efficient Technology Stack Selection
We work with a wide variety of programming languages and libraries, including Python, TensorFlow, PyTorch, and Scikit-learn. These technologies streamline AI training and implementation, making them faster and more efficient, while also automating testing and deployment processes.
Security
We understand the importance of ensuring data security, so we follow a few practices such as data and code encryption, authentication and access control, regular audits, and monitoring and compliance with the related security standards and regulations.
Work Review and Retrospective Practice
When the stage is over, the intermediate result is presented to the client to point at mistakes or project deviations on time. We also practice the retrospective format so that to find the ways of team efficiency or processes betterment.
Prototyping and Concept Testing
To protect our customers from unnecessary costs, we always analyze their ideas and needs, trying to present the best solution or inform them that the concept won’t work. It also leads to prototype practice allowing everyone to clearly see the layout of the future solution.
Comprehensive Support and Maintenance Services
When the project is formally complete, and the product is at your disposal, you’re not abandoned. On the first request, we’re ready to provide you with installation and deployment guides, documentation, optimization solutions and other services needed.
Our Expert
"As a PhD in Physics, I use my own special technical approach to developing solutions. At Silk Data, I oversee all AI projects, so I am open to discussing your ideas and requests. My expertise will help us to understand if your idea needs revision and make initial estimations of what the project will take.
The team I supervise consists of over 15 technically strong Middle+ level AI developers, who’re permanently developing their skills and knowledge on AI. It means that you’ll get a comprehensive solution with a high model quality rate of about 98%."
Nikolai Karelin - Head of AI
Our Success Stories
Frequently Asked Questions
Unfortunately, there’s no exact price for AI development and for AI app in particular. Every project requires a specific approach, and the price of the AI application development depends on nearly the same factors as the implementation of usual business application. The main difference of AI-based functionality is its dependence of the data availability and that AI applications are normally implemented in several steps. You always have an opportunity to discuss your ideas and needs with us, so we’ll be able to present a detailed cost estimate.
The time any AI development company spends on AI solution development varies according to numerous factors but typically starts from several weeks.
Typical time scales are 1-4 weeks for PoC and 1-6 months for MVP while the large-scale projects may require multi-year collaboration However, every task is unique, so it’s always better to negotiate first, so that your artificial intelligence development company can inform you of the estimated deadlines.
Sure! An ongoing monitoring and support of our clients is one of our principles that ensures a high level of trust between the Silk Data team and our partners. Buying an AI solution from us, you also get an executive company that will take care of any problems that may occur while using it. Typical expenses on AI application support are within the same range as custom software. Extra costs for model retraining and updates depend on the model type and the unique requirements of each project.
While having a high-level understanding of AI technologies is beneficial, it’s certainly not a requirement. Your task is to present your idea and vision, as well as understanding of your business domain, and we’ll come up with the best solution possible. It’s also not necessary to be an AI expert to deal with our products, as they provide intuitive and user-friendly functionality and interface. Moreover, we can provide a training system for your employees, so that they know all the details and specifics of the product.
