Silk Data

Plagiarism detection system is specifically designed for proctoring providers and users, LMS providers and integrators, as well as universities and educational organizations. With our advanced technology, you can process several hundreds of exam scripts in just a matter of hours.

The solution processes several hundreds of exam essays in a few hours, finding for the instructors only few highly similar pairs of exam scripts for manual inspection.

The antiplagiarism solution is based on Silk Data’s proprietary document processing and analysis platform. It consists of a text extraction from PDF and other formats, text comparison engine, and visualization of results for analysis.

Product Features

AI Content Detector - Identifies whether text is AI-generated or human-generated.

Don't let the lines between human and artificial intelligence blur! Identifying human-written content from AI-written content in the digital age is essential, and our tool does just that.

Whether it's a document, an email, or a manuscript, our system in depth analyzes each sentence, providing you with a comprehensive breakdown of AI-generated versus human-written content.

Internet Plagiarism Checker - Compares text against online resources to detect plagiarism.

Academic integrity beyond internet resources. - In order to ensure originality, Plagiarism Checker precisely scans and cross-references each submission against a vast database of internet sources.

Our system is more than a preventative measure; it's an educational partner, enhancing the learning experience by ensuring fair play and real effort in every assignment.

Batch Processing - Allows multiple exam papers to be mutually analyzed, saving hours of time and energy.

Say goodbye to endless hours of manual checking and hello to fast, accurate results! - Capable of processing hundreds of exam scripts in mere hours, our system simplifies the task of checking exam papers for similarities. Imagine being able to scan through hundreds of tests in just a few hours! That's what we offer.

With advanced extraction capabilities from PDFs and various formats, we ensure a thorough and efficient analysis. Our intuitive visualization tools provide clear insights, making the review process a breeze. The filter focuses on the most relevant document matches, cutting down on the time required to search for similarities.

Knowledge professionals spend hours every day matching and categorizing text-based data. Our AI comparison tool helps combine pieces of textual content based on their semantic similarity, transforming hours of work into mere seconds.

Compare Two Files With Our Content Analysis Tool

Whether you need to classify companies according to insurance risk levels or categorize and group documents in your knowledge base, or find plagiarism in a pile of exam essays, our AI-based technology could be a time-saver.  

We employed natural language processing (NLP) algorithms and machine learning to match and combine pieces of textual content based on a degree of their semantic similarity. For each document or text piece, we identify a subject, main topics, key words, and phrases that form its semantic core, and then match the identical and synonymously related units. As a result, you get a fully automated content matching tool that helps you in text-centered and adjacent operations. This semantic search solution also provides several visualization options to analyze and common semantic units between similar documents.

Silk Data’s text comparison tool goes beyond these functions; our IT team can customize it effortlessly to fit your unique needs.

Explore AI Text Compare: Analyze and Visualize Document Changes

On the first screenshot you can see the AI Text Compare settings. It is possible to add PDF files and select the type of processing (Whole text, By ToC sections, AI-based fragments, Manual selection).

As an example, we propose to compare two documents - Google's privacy policy for March 2024 and for November 2023 (Updates: Privacy Policy – Privacy & Terms – Google). Both documents are 32 pages long, and the second screenshot shows some of the text with the changes highlighted. AI Text Compare has a classification of changes that helps you navigate the report and quickly find the changes you need. For example, deletions or insertions of text are shown in blue. Replacements of small pieces of text or words are highlighted in yellow, and large pieces are highlighted in red.

What Makes Silk Data’s Online Compare Text Tool Unique? 

AI-powered

We employ Artificial Intelligence and cutting-edge natural language processing algorithms to ensure extended functionality and high-precision results.

Multilingual Functionality

The underlying technology supports dozens of languages with a nearly unlimited extension possibility. It also provides room for custom vocabularies to be uploaded and used in the model training.

Support for multiple formats

We employ Artificial Intelligence and cutting-edge natural language processing algorithms to ensure extended functionality and high-precision results.

Keyword-based comparison

Our tool performs text comparison by analyzing similar keywords in the texts, helping to identify the main topics of each text. It displays all key words in a word cloud or table format for clearer understanding.

Similarity level indicator

After comparing text files, our tool displays the similarity level in percentages. If high, it might indicate plagiarism. At Silk Data, our IT experts have developed an AI-powered plagiarism detection tool for addressing such issues.

Visualized reportss

Our tool provides visual representations of text differences, making it easier to analyze and understand the changes. The tool marks similar units of text in green, unique parts in red, and slight changes in blue. 

How It Works?

1. Upload the documents
This can be done by copy-pasting plain text directly, providing a URL to a file, or uploading a file (PDF, MS Word, etc.). 

2. Run the check
Hit the "Compare" button and our file compare tool system will start text comparisons, showing you identical or semantically related units. 

4. Ready for more?
One simple click and you can start to compare files again!

3. Review the results
You get a comparison table that shows similarity level, including identical, similar, and related meaning chunks of the texts. 

Who Can Benefit From AI Text Comparison? 

• Publishers
• E-learning providers
• University professors
• Researchers
• Media agencies
• Lawyers
• Insurers
• Patent examiners, etc.

The client wishes to provide its users with a novel approach to analyzing news on a specific event or a topic and to improve user media literacy using modern NLP/AI- advanced analytics services and data visualization methods. In particular, the user should be able to identify and explore similarities and discrepancies between news texts produced and compare and contrast news articles by different media outlets. In particular, the same political event can be described quite differently depending on the affiliation or political orientation of the news outlet’s editorial board.

On the other hand, news on important events are re-published with no or minimal changes by many websites or other media (so-called syndicated news). Detection, clustering, and visualization of syndicated news can greatly save the reader time by reviewing only one article from a cluster.

Solution Of Media Monitoring Tools

We propose to build the data analytics platform with Silk Data’s technologies and free Open-Source technologies with permissive licenses. Our experience shows that the usage of Open-Source solutions as a base will greatly reduce development time and efforts while allowing us to provide great system quality and reliability.

In particular, open-source packages are at the backbone of modern AI, providing field-tested, flexible, and state-of-the-art models and algorithms.

The Silk Data team implemented this request in the form of a web development services and a Chrome browser extension with both user and administrative components. This news monitoring tools comparing news articles on the same topic and "highlights" to the reader the nuances of news presentation by different news agencies (when clicking on a link or button in the extension, a document map for that event opens).

The news analyzer allows comparing news articles between publications to identify common and/or specific information in news coverage. In this way, the user does not have to read every article to get into the research and proofread the main points. With this data mining algorithms, an article of 6000 characters can be reduced to 400 characters. The AI model will independently analyze other references on the given topic and highlight the main thing in the current article.

The solution has opinion mining analysis thanks to natural language processing (NLP). opinion mining applications for intelligent opinion analysis will allow you to detect details of sources that contain opinions (or sentiment analysis opinion mining), feelings, attitudes about an object or research. 

Functionality Of Media Monitoring Software

Information extraction

Loading and analysis of news, and updates of news articles - content curation and trend analysis.

Text clustering

Detection of clusters of lexically and semantically similar articles on the same topic or event for fake news detection and media bias detection.

Text classification

Pair-wise comparison of news articles and highlighting of most repeated passages and key points from other news articles. Showing the sources of identical information.  

Automated content analysis

Display a list of known news events and social media analytics with filtering by event date, event type, and basic keyword search.  

Detect social bots

Detect social bots on media sites by analyzing user actions. When comparing news, not only text is analyzed, but also user actions on web pages related to the analyzed topic. You can use this feature to identify fake users who are spreading spam, working on their reputation, or performing other harmful actions.  

Other features

• The solution is multilingual and supports more than 20 languages;
• Flexible comparison parameters. User Interface;
• After installation, the extension button appears in the extensions menu;
• If the user activates the extension by clicking on its icon, the extension provides analysis for the current tab. 

Results

The sample diagram below demonstrates the visualization of a few news articles on the same topic. The dot’s color denotes the news’ source, the size corresponds to the article length in words and the relative position of dots shows the semantic similarity between the news.

In the next screenshot, a variant of the browser extension running with the news article is shown.

The current version of the news comparison app is optimized for 500 to 1000 news articles per  event (and up to 15 000 news articles in rare exceptions). 

Beyond news analysis, the technology described above can be applied to other applications, such as automated bot accounts use social media, because the bots usually post nearly-identical comments in multiple chats. Similarly, this technology can be used for the analysis of large collections of documents, such as the analysis of business contracts during due diligence. 

Automated CV screening is an AI-powered applicant screening software that helps recruiters transform unstructured resumes into a standardized format, find qualified job seekers, and generate interview questions based on their skills and experience to help HR filter out the best job applicants.  

About the project

Our client is a leading talent acquisition company specializing in efficiently building candidate pools to fill open positions for their end customers. 

Challenges

Our client struggled with screening high-volume resumes sourced from diverse channels and presented in various formats. This led to inefficient CV evaluation and increased hiring costs.  Relying on 10 years of experience in AI consulting and development, the Client turned to Silk Data for an automated resume screening software to streamline their hiring workflow and help them deliver high-potential matches for job openings. 

Solution

Following the SLA, Silk Data team developed a solution that meets the client's needs. How does automated resume screening work?

• It converts unstructured resumes into structured data using AI, enabling efficient comparison and in-depth analysis of candidate skills and experience.

• The AI engine matches candidates' profiles against job description, showcasing highly relevant CVs for recruiters' review.

• It matches candidates with relevant job openings based on their skills, qualifications, and preferences. AI finds relevant skills, even if worded differently.

• Resume screening AI creates custom interview questions for each candidate's profile, allowing hiring managers to assess their fit and potential more effectively.

• The platform facilitates pre-screening chats with shortlisted candidates. Recruiters might have a ‘virtual interview’ with the applicant for efficient assessment through standardized questions.

Positive Outcomes for the Client

Our CV screening software utilizes advanced machine learning algorithms for AI screening and candidate evaluation. This facilitates a data-driven approach to talent acquisition, which speeds up the entire screening process.

With the developed solution delivered by Silk Data, the Client received the following improvements in the CV analysis:

• A 40% increase in the quality and diversity of their talent pool.
• A 20% boost in their employer brand and reputation.
• Our AI solution cuts resume screening time and hiring costs in half.
• Client feedback indicates high candidate relevance and accuracy.

Silk Data goes beyond streamlining your hiring process with resume screening tools. We can also equip our clients with contract analysis software that automates contract preparation and review, saving valuable time and resources.

About the project

Our client, a European digital marketing agency, assists companies in developing content and communication strategies in diverse fields such as fintech, IT, and beyond. 

Challenges

Recognizing the transformative potential of AI, the client was in search of a self-hosted AI chatbot to streamline the workflow and collaboration of their marketing teams.

The main challenge was to develop a chatbot embedded with a personal LLM (Large Language Model) that could be hosted on the client's internal infrastructure. The solution needed to prioritize the security of internal information, ensuring that data remained within the company’s private network.

Having successfully collaborated on the development of an internal marketing automation platform, the client was eager to leverage our proven expertise once again. Relying on Silk Data, as an AI development company, the client addressed our experts to run LLM locally.

Solution

The initial development phase for the LLM chatbot demo version spanned 22 business days. The team opted for Mistral, an open-source LLM, as the foundation for their solution.

The initial attempt to run an on prem LLM on an Azure server was found to be too expensive for the client, needing a more cost-effective solution without compromising performance. After analyzing diverse options, the team decided to transition private LLM model to Hetzner server, which provided an optimal balance of cost and performance. This setup allowed the self-hosted LLM to run efficiently with a distribution of 70% on GPU and 30% on CPU, significantly reducing expenses while keeping high performance.

Key Development Stages 

• LLM Installation
  The team deployed the Mistral LLM on the Hetzner server, ensuring compatibility with the chosen hardware configuration.

• Architecture Development
  The team built the user interface (frontend) for the chatbot and the backend system responsible for communicating with the private LLM.

• LLM Model Testing
  AI engineers meticulously tested the self hosted LLM model by providing it with specific contexts and evaluating its responses to ensure accuracy and relevance. This comprehensive testing ensured the chatbot could conduct basic conversations fluently in both German and English.

Key Outcomes

• Just within one month, Silk Data has successfully developed, trained, implemented and tested the demo version of AI-powered chatbot. 

• We successfully deployed a local LLM model on the client's internal infrastructure. This solution addressed the client’s concerns about data security by ensuring that all information remained within their private network. Unlock the power of conversational AI! Build your own LLM or fine-tune ChatGPT for business needs with Silk Data’s 10 years of AI expertise.

Why Run a LLM Locally

Enhanced Data Security and Privacy
Deploying LLMs in a private cloud or corporate data center ensures that sensitive data remains within the organization’s control. This mitigates risks associated with data breaches and leaks, as the data is not exposed to third-party cloud providers. Compliance with regulations like GDPR, HIPAA, and CCPA is more manageable, as organizations can implement and monitor their stringent security measures.

Customization and Control
Organizations have full control over the model’s configuration, allowing for extensive customization. This includes tailoring the LLM to specific industry jargon, internal policies, and unique business processes, which can significantly improve the model’s relevance and accuracy in its responses.  

Reduced Latency and Increased Performance
LLM hosting on local infrastructure can reduce latency, providing faster response times compared to remote cloud services. This is crucial for real-time applications, such as customer support LLM chatbots, where quick responses are essential.  

Cost Management
Although the initial hardware cost might be high, running LLMs on-premises or in a private cloud over time can be more cost-effective than paying for extensive usage of third-party cloud services. 

Local LLM Deployment: Pitfalls

• Incompatibility of multiple LLM models
  When integrating multiple models, incompatibility issues often arise due to differences in architecture, data formats, and operational requirements. Each model may have been developed with distinct frameworks, assumptions, and dependencies, leading to challenges in seamless integration.

• Scalability Challenges
  While private clouds and local data centers offer control and security, scaling the infrastructure to accommodate the ever-growing computational needs of LLMs can be challenging. Unlike public cloud services, which can dynamically allocate resources based on demand, private infrastructures may face limitations in scaling quickly and efficiently, especially during peak LLM install periods. 
• Security Risks
  Despite the increased control, private environments are not immune to security risks. Internal threats, such as malicious insiders or inadequate security practices, can pose significant risks. Additionally, ensuring the infrastructure is protected against external threats requires robust security measures, continuous monitoring, and regular updates.

The Waste Removal Calendar app is your reliable companion for efficiently managing household waste disposal. No matter where you are located, you'll never miss a garbage bin emptying date thanks to its user-friendly and intuitive interface. 

Challenges

Our task was to create a comprehensive remote service for Android and iOS that tackles citizens' challenges with timely waste collection. We aimed to make the disposal process easy, fast, and accessible for everyone.

• Missed waste collection: Often, people forget or are uncertain about waste collection schedules, leading to overflowing containers and inconveniences in public areas.
• Comprehensive management: Families, tenants, and property owners face the challenge of managing multiple addresses and waste collection schedules, leading to confusion and inconvenience.

About the project

The municipal organization responsible for efficient and environmentally responsible household waste management in Swiss cities commissioned the development of the app.

Features

With the Waste Removal Calendar app, you get an intelligent solution for efficiently managing household waste removal. Our app offers a range of unique features, ensuring comfort and convenience in waste management. 

Timely reminders

Receive push notifications about upcoming waste collection, allowing you to choose precise reminder dates - days before collection or on the day itself. 

Flexible address management

Easily input and manage multiple addresses, efficiently controlling the waste collection process for different locations, including family members or tenants. 

Online waste registration

Register bulky waste, large electronic appliances, and green waste online. Select a suitable collection date and receive automatic confirmation of your request. 

Our client is the American company SQ1 flex. Its activity is to provide special Flex Bands which help in making payments. In order to produce wearables more efficiently, the company needed a solid mobile application where users could link a credit card and a Flex Band together, and then control their payments. Since the application had to be directly linked to the client's personal information, it was important to make it as much secure as it could be.

The developed application has enabled the company to achieve the following results: 

- Reduced the time spent on maintenance by 30%, which means the company can now allocate more time and resources towards other important tasks that drive growth and improve the bottom line. 

- Increased the customer base by 18%. This is a significant achievement and demonstrates the effectiveness of the application in attracting new customers and retaining existing ones.  

- More than 2500 new customers. 

- With the loyalty programs, the company has been able to increase customer retention by 23%, meaning that more customers are returning to the company to make purchases. 

- The company has seen a 38% increase in the implementation of loyalty programs, indicating that more customers are signing up for the programs and taking advantage of the benefits they offer. 

Overall, the results achieved by the developed application demonstrate its effectiveness in driving business growth and improving the company's bottom line. The company can now leverage these results to make data-driven decisions and further optimize the application for even better results.

GRAVITY is a professional digital tool that helps enterprises cut on learning and training costs by providing their employees with opportunity to be educated on applications while using them. The activity of users is constantly monitored, and progress can be tracked, which in the most advanced way helps to track the path of the client and optimize the site according to the received data.

Silk Data professionals have overseen the product’s architecture and development, meeting strict requirements in security, usability, and UX/UI.

Silk Data provides comprehensive support for the installation and further maintenance of the software.

Predictive analytics is the use of data, statistical algorithms, and machine learning techniques to determine the probability of future outcomes based on historic data.

Benefits of predictive analytics for business:  

1. It helps to avoid major risks. Analysis of data enables to minimize risks and identify the best strategy and business decisions. 
2. Business Decision Making Optimization. Predictive analytics greatly facilitates the work of specialists when it comes to determining customer’s needs and responds.  
3. Fraud detection. As cyber security increases, predictive analysis makes it possible to identify anomalies that can indicate cyber vulnerabilities and threats. 
4. Operational effectiveness improvement. It will help your business function in a faster way. 

LookUp! breaks the mold of traditional digital publishing platform by offering a comprehensive, cross-platform solution for publishers. This innovative platform utilizes built-in AI to go beyond basic electronic distribution (eBooks, publications, articles, etc.). Its advanced features, like chatbots and AI-powered Q&A generation, empower publishers to deliver a dynamic and interactive experience for readers. 

In Search of Top Digital Publishing Platform 

A German-based publisher turned to Silk Data for the development of a user-friendly electronic digital publishing platform designed to enhance student engagement. This platform should streamline the entire content creation lifecycle, from automated publishing workflows to efficient article and publication management. Speedy content uploading, management, and modification were top priorities. To foster interactivity, the client sought to integrate a rich commenting system allowing users to provide feedback through text, images, and audio, along with extensive annotation features. 

Digital Solution for Publishers 

Silk Data leveraged its expertise in mobile app development services creation of feature-rich electronic library platform. This solution centres on a robust cross-platform integration (supporting iOS, Android, and web). Publishing software key functionalities include:  

• Electronic Library Management: Libraries maintain complete control over digital content resources. 

• Publisher Integration: Publishers can seamlessly upload and manage their publications (e.g., e-books) within a centralized digital book publishing platform. 

• Secure User Access: Users access specific content through unique “access codes”, ensuring secure distribution. 

• Enhanced Reading Experience: The publishing software features functionalities that optimize the user experience for reading digital content. 

AI Integration in Top Digital Publishing Platform 

LookUp!, our online digital publishing platform, has been around for over 10 years with support and development of new features from Silk Data. In 2023, we gave it a major upgrade by incorporating AI for a chatbot and search function. This allows both publishers and end-users (students) to find answers to their questions quickly and easily, all within the digital publishing platform.  

The LookUp! chatbot is an easy-to-use tool that functions like an internal Google search engine. It provides accurate answers to questions and essential information from multiple sources. Additionally, it offers helpful recommendations based on the user's query. The chatbot is designed to facilitate dialogue and conversation with the user, allowing them to clarify and ask follow-up questions.

Digital Features for Publishers: 

• Upload books, sheets, journals and other materials to the centralized digital library for easy access. 

• Distribute materials to specific audiences using unique access codes. Each publisher has an unlimited number of access codes, allowing them to grant access to their materials to an unlimited number of people. 

• Enrich all displayed files with detailed metadata like title, description, source, type, and size for efficient searching. 

• Track user engagement and gain insights into who is reading your materials and how often. 

• Publishers can sell their materials directly through the digital magazine publishing platforms. 

• Digital Features for Users: 

• Access books, articles, journals and other specialized publications all in one place.  

• Add personalized notes and bookmarks to any part of the text in the form of the text, images, photos, and even audio comments for deeper understanding. 

• Jump to specific pages using clear thumbnails.  

• Filter annotations based on criteria for easy review. 

• Access content anywhere, anytime. Our cloud-based solution synchronizes reading progress and annotations across all devices. 

• Offline reading and annotation. 

• A free reading of a snippet of paid publications is usually available, with a 15-page preview. However, the publisher may limit the size of the preview.  

• Keyword and phrase smart search, annotation smart search.  

• Detailed internal book annotations provided by publishers.  

• Quick text parameter settings: font type and size, line spacing, alignment mode, etc.  

• AI-powered assistant. Chatbot to get answers and clarifications to questions. 

AI Contract Analysis transforms long tedious process into the efficient instrument for your business saving resources, enhance workflows and lower risk. Mix of hand-crafted rules and ML helped Silk Data to launch a web interface for business to upload and analyse DOCX and PDF contracts.

Web app MMC - is a marketing automation solution. It represents the combination of classic digital marketing tools enriched with advanced digital capabilities.

Problem 

The client faced challenges with the complex structure of marketing in project management and using automation tools. Simultaneously, the company could be involved in around 20 projects with different specialists. There were issues with response times, frequent disruptions, and inconsistencies in work. The client wants to use marketing automation best practices to speed up and improve project work and eliminate errors. 

About

The project is an marketing agency with a enterprise marketing automation department and a complex structure. The team consists of over 155 people who need automation of strategy solutions, analytics insights, customer experience and lead generation.

Proposed 

The lead developers at Silk Data proposed creating a custom marketing automation software tailored to the client's needs, automating project work, collecting analytics, and organizing the team's work effectively. A user-friendly interface and working principle, built on the Kanban board method, makes the process simple and convenient for everyone.  The platform also features AI capabilities, is user-friendly, and offers additional features and extensions. This solution allows employees to use their saved time more efficiently. To achieve the highest quality, Silk Data specialists established server architecture, created user interface and UX concepts, web platform development, and tested it. 

Functionalities 

The MMC marketing automation software operates based on several AI-integrated modules that users can customize, mix, and choose the ones that best suit their team. Each module has its functions, ensuring efficient work and excellent results.

Campaign and budget planning

• Organization and execution of projects and events, metrics tracking (conversion rates and others).
• Project timeline and budget estimation with the ability to make changes.
• Tracking project progress, budget and roi analysis.

Flexible project management

• Task division into stages, delegation to team members, structured task execution, engagement tips.
• Assignment of tasks with different priority levels.
• Reduction of time spent on document approval through project participant coordination.
• Libraries and collections for teams and partners with access to the latest content.
• Unified identity with the ability to customize templates for various team members. 

Analytics and reporting

• Data collection and analysis system to create detailed reports on projects and marketing campaigns.
• Visualization of key metrics for real-time decision-making.

Risk management system

• Pre-assessment mechanism for proactive management of potential project issues.
• Automated notifications of potential risks and action plans.

Marketing campaign automation

• Creation and management of marketing and email campaigns using templates, targeting methods and personalization tactics.
• Optimization of advertising budgets and support for A/B testing to enhance effectiveness.
• After installation, the extension button appears in the extensions menu;
• If the user activates the extension by clicking on its icon, the extension provides analysis for the current tab. 

Customer experience management module

• Tracking and analysis of customer interactions with the company's products or services.
• Personalized approach to customers based on their preferences and interaction history in social media.

Other features

• Integration with popular marketing tools, CRM systems, and social networks for automatic data exchange.
• Data export and import capability for information exchange between different projects and platforms.
• Module for tracking updates and providing technical support to platform users.
• Integration of training materials and training for staff aimed at improving skills and efficiency. 

Benefits Of Marketing Automation With AI

Integration services of artificial intelligence (AI advanced analytics) significantly improved the functionality of MMC, increasing efficiency and providing users with more advanced capabilities:  

• Content creation
  Use of AI to analyze user preferences and behavior for personalized content creation and branding strategies.
  Benefits: Increased audience engagement, improved customer experience.
• Automated data analysis
  Use of AI algorithms for automatic analysis of large volumes of data, identifying trends and patterns.
  Benefits: Reduction of analysis time, quick decision-making based on current information.
• Automatic advertising budget management
  Automatic determination of optimal advertising budget allocation based on past channel effectiveness data.
  Benefits: Resource savings and maximization of advertising results.
• Automated testing
  Use of AI for automatic testing of platform functionality, detecting potential issues and errors.
  Benefits: Increased platform stability and reliability.

• Recommendation systems
  Integration of recommendation systems based on user preferences analysis to suggest optimal marketing strategies.
  Benefits: Increased efficiency of marketing decisions.
• Campaign results forecasting
  AI marketing automation analyze data from past marketing campaigns and predict potential outcomes for new ones.
  Benefits: Budget and resource optimization, improvement of marketing strategies.
• Risk forecasting and management
  Use of AI algorithms to forecast possible risks and propose measures for their management.
  Benefits: Prevention of potential problems and increased project success.

It becomes increasingly difficult to track your competitors and be aware of the situation in the industry. Marketers and analysts spend the most precious resources - time and money, but still cannot achieve their goal - to receive and process large arrays of data rapidly. Silk Data takes this problem on itself. With the help of Web Crawling technology, extracting, and clearing large arrays of data is a matter of a few hours.
Silk Data already helped a big German real estate company to collect a large amount of data, including information on prices, as well as some other important parameters.
Why Silk Data for Web Crawling? 

• 10+ years of experience let us help our clients in collecting data for analytics and other projects
• Optimized solutions
• Little dependence on third-party technologies
• Data collecting for clients and our own projects (we also use parsing technology for our own purposes, showing that it works effectively) 

The client wanted to launch an application with paying feature where customers can control their payments made with their wearables. Silk Data introduced mobile application for both Google and Android platforms.
We took into account all the client’s requests and tried to make application individual. Developed mobile app offers simple way to switch from offline banking to a digital one.

SwatchPAY! is mobile application where users can easily tie their credit card, pay it with Swatch watches, and organize payments. 
The client wanted to launch a line of watches with a paying feature and a supporting application where customers could control their payments. The solution let everyone try the combination of classic design and paying feature.  

The client approached our company with a request to develop a system for NFT images that would solve three main functions: 

• search for similar images; 
• search by description; 
• search by collections.

This is where SeeNFTs comes in. 
The system scalability was tested on at least 6 million of indexed NFTs.
 

Our client cares about the cleanliness of the city and the environment every day, and Silk Data helps to facilitate and automate this process. 

The solution had to contain a mobile app for cleaning departments. One of the most needed features was to make it possible to notify users about collection time directly before the process and give citizens opportunity to custom notifications. Furthermore, the ability to add more than one address was necessary.