Delivering AI and Blockchain solutions
We build AI powered applications on the Web Services cloud.
Blockchain Development
With over 10 years of experience in developing transformative software, we continue to pioneer blockchain development with a deep understanding of AI, IoT, and cybersecurity services. Our team is consistently the leading developers of safe, secure, and scalable blockchain solutions.
Cloud Services
Regardless of industry—whether it's supply chain, finance, health care, etc.—the challenges for enterprise-level adoption of blockchain lies in scale, speed, and cost. From ideation to design to development, we work as an extension of your business—your very own blockchain development company. We make your goals our own, ensuring we deliver enterprise-grade products on-time and on-budget to minimize time-to-market and maximize ROI.
FinTech
From banking to trading to payments, blockchain has the potential to introduce uncompromising transparency, accountability, and security to every financial transaction.
As blockchain software development company, we've developed FinTech projects that span a multitude of applications, including digital payments, investment and wealth management, lending, trading, and insurance. While they all vary in complexity and functions, some of the most popular feature requirements include automated compliance, digital identity, multi-factor authentication mechanisms, and financial data tracking and analytics.
As blockchain software development company, we've developed FinTech projects that span a multitude of applications, including digital payments, investment and wealth management, lending, trading, and insurance. While they all vary in complexity and functions, some of the most popular feature requirements include automated compliance, digital identity, multi-factor authentication mechanisms, and financial data tracking and analytics.
What is Artificial Intelligence?
Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI is an interdisciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry.
We use
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Research, technology consulting and software product development services to deliver your product on time and within the budget
Quality of our work is proven by numerous positives reviews from the people we work with
A team of programming experts and designing professionals develops, designs, runs tests, and/or manages software development
- DAO-like applications based on Ethereum blockchain with governance, voting, whitelisting, etc.
Enterprise Application Development
- Building mockups, wireframes, and clickable prototypes
- Human-centered design
- Usability analysis and metrics Implementation
- Enabling seamless cross-platform experience
- Creating intuitive and clean UIs
- Designing custom animations and effects
- Apple Human Interface and Google Material Design compliance
Customer Engagement via UI/UX
- Building mockups, wireframes, and clickable prototypes
- Human-centered design
- Usability analysis and metrics Implementation
- Enabling seamless cross-platform experience
- Creating intuitive and clean UIs
- Designing custom animations and effects
- Apple Human Interface and Google Material Design compliance
Cloud engineering
- Cloud Services
- Custom Software Development
- We are offering premier cloud services and software for enterprises migrating to leading cloud platforms. Their architects are designing, building and implementing IT solutions
Marketing
Go beyond the standard marketing tactics with the help of smart algorithms that predict trends, pinpoint top-performing comms, and show you where to hit next. All backed by data.
Mobile Development
- iOS app development
- Android app development
- Cross-platform mobile software development
- Mobile crypto wallet app development
- Mobile game app development
- Mobile apps for the IoT and embedded systems
Our features
Everyday we work hard to make life of our clients better and happier
Hight Quality
We are the leading firm by delivering quality and value to our clients. All our professionals have more than 5 years of experience. We like what we do.
Good Support
Our managers are always ready to answer your questions. You can call us at the weekends and at night. Also you can visit our office for personal consultation.
Individual Approach
Our company works according to the principle of individual approach to every client. This method lets us to get success in problems of all levels.
Technologies and Algorithms that we are using
BlazingText Algorithm - an unsupervised learning algorithm for generating Word2Vec embeddings. The Word2vec algorithm is useful for many downstream natural language processing (NLP) tasks, such as sentiment analysis, named entity recognition, and machine translation.
DeepAR Forecasting - a supervised learning algorithm for forecasting scalar (one-dimensional) time series using recurrent neural networks (RNN).
Factorization Machines - a general-purpose supervised learning algorithm that you can use for both classification and regression tasks.
Image Classification Algorithm - a supervised learning algorithm that supports multi-label classification. It takes an image as input and outputs one or more labels assigned to that image. It uses a convolutional neural network (ResNet) that can be trained from scratch or trained using transfer learning when a large number of training images are not available.
K-Means Algorithm - K-means is an unsupervised learning algorithm. It attempts to find discrete groupings within data, where members of a group are as similar as possible to one another and as different as possible from members of other groups. You define the attributes that you want the algorithm to use to determine similarity.
k-Nearest Neighbors Algorithm (k-NN) - an index-based algorithm. It uses a non-parametric method for classification or regression. For classification problems, the algorithm queries the k points that are closest to the sample point and returns the most frequently used label of their class as the predicted label. For regression problems, the algorithm queries the k closest points to the sample point and returns the average of their feature values as the predicted value.
Latent Dirichlet Allocation (LDA) - an unsupervised learning algorithm that attempts to describe a set of observations as a mixture of distinct categories. LDA is most commonly used to discover a user-specified number of topics shared by documents within a text corpus
Object2Vec - a general-purpose neural embedding algorithm that is highly customizable. It can learn low-dimensional dense embeddings of high-dimensional objects. You can also use the embeddings as features of the corresponding objects in downstream supervised tasks, such as classification or regression.
Innovation Product
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Innovation Product OÜ
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