Seamless IT Staff Augmentation for Your Needs

Tech Stack

Python , React , FastAPI , Kubernetes , Google Cloud Platform , PostgreSQL , SQLAlchemy , Apache Airflow , MLflow

Client

Our client, an emerging tech startup founded in 2021, aims to enhance the productivity of software developers through easy-to-use workflow management and automation tools.

Challenges

The client needed a skilled IT partner to build a virtual assistant tailored for web developers. The system was required to aggregate and analyze workflow data from multiple sources - and present it to the user via Slack. The goal was to provide a seamless automation tool that assists with non-coding tasks without accessing proprietary code or datasets.
To achieve this, our team faced the following challenges:
● Develop a system capable of processing and correlating structured and unstructured data from experiment tracking tools, pipeline logs, cloud metrics, and team calendars.
● Design an intuitive dashboard displaying all the relevant statistics.
● Implement accurate predictive analytics to assist in risk management and resource planning.
● Comply with GDPR and other data protection regulations.
● Deliver a clean, user-friendly interface tailored to technical users.

Solution

We delivered a real-time, AI-driven engine to help manage development workflows and handle non-coding tasks.

Business outcome

Upon completion, the client received a fully operational system. The solution is designed for future monetization through subscription tiers or enterprise licensing, providing a scalable foundation for the client’s growth market.

Tech Stack

Python , TensorFlow , Kubernetes , Apache Spark , React , FastAPI , PostgreSQL , Google Cloud Platform , Docker , MLflow

Client Info

Our client is a U.S.-based digital health startup. His vision was to bridge the gap between complex medical data and clinical workflows by creating an intelligent, scalable platform for diagnostic support. The goal was to provide diagnostic interpretation and specialization in a series of services, including women's imaging, cardiovascular, nuclear medicine, and more.

Challenges

Our company's mission was to design and build the core AI engine and data infrastructure for this diagnostic assistant. The system needed to ingest, process, and analyze large volumes of structured and unstructured medical data, primarily from MRIs and CT scans, to identify patterns and anomalies.

Solution

We developed a robust MLOps pipeline to manage the entire machine learning lifecycle. This included:
● Automated Data Ingestion & Versioning: Implementing secure pipelines to handle DICOM files and associated patient data from various hospital sources.
● Distributed Model Training: Utilizing cloud-based compute resources for training complex deep learning models on large datasets.
● Model Registry & Deployment: Leveraging MLflow for experiment tracking, model versioning, and staging, with seamless deployment to a Kubernetes cluster for scalable inference.
● Continuous Monitoring: Establishing monitoring for model performance (data drift, concept drift) and infrastructure health in production.

A significant part of the project was creating a specialized DataOps framework. This application standardized the process of receiving, validating, and preprocessing DICOM files. It could run complex data transformation pipelines based on configurable rules, ensuring data quality and consistency before it reached the AI models or was stored in a structured format in our databases.

Tech stack

AI App Development , Python , Java , React , Elasticsearch , Apache Kafka , Snowflake

Client

Our client is a US-based startup (B2B SaaS, marketing and sales domain).

Challenge

The company’s goal is to provide a comprehensive and easy-to-use market research tool. The platform leverages Data Science, Data Processing, and AI/ML technologies to supply the customers with valuable market insights (the company’s market standing, potential leads, brand perception, competitor’s review, etc.)

Key Challenges

- Design and develop a scalable system for big data collection and processing.
- Implement data scraping from heterogeneous sources and subsequent analysis.
- Ensure high-speed query processing for real-time operation.
- Integrate an AI algorithm for recommendations and system improvement based on user actions.
- Create an intuitive and functional dashboard interface with dynamic data visualization.

Solution

Our team took on the full cycle of MVP development:
- Architecture & Backend: We developed a powerful backend capable of collecting, analyzing, and interpreting data on buyer behavior, competitors, and market trends. To ensure performance, key indexes were moved to Elasticsearch.
- Data Science & AI: A machine learning algorithm was implemented to continuously improve the recommendation system based on user feedback (e.g., scoring for each viewed company).
- Frontend and UX/UI: We created a personalized dashboard with a smart filtering system, ratings, and various types of dynamic graphics (charts, diagrams, maps), allowing complex information to be presented in a simple and coherent way.

Business Impact

The successfully developed and launched MVP allowed the client to:
- Bring the product to market and begin monetization in the shortest possible time.
- Offer a flexible subscription model (SaaS), varying by features and number of users.
- Lay the foundation for further scaling and development of a platform that provides entrepreneurs with a unique tool for making informed business decisions.

A mobile solution was required at a short-term notice. The app was required to be autonomous and minimize the risk of disconnection due to network limitations or marketplace withdrawal from the service providers. The solution was developed using PWA (Progressive Web Application) technology.

Technologies used:

Java, Spring, Kafka, PostgreSQL, Redis, Docker, Kubernetes, Microservices, Flutter, Dart, Websocket, Firebase

Project Team:

1 Project Manager, 7 Developers, 2 System Analysts, 2 QA Engineers

Project Duration:

12 months

Solution:

A Banking-as-a-Service (BaaS) system was developed for creating and maintaining mobile cross-platform applications using PWA (Progressive Web Application) technology.

Client's Requirements for the Platform:

• SSL technology data protection
• Issuance, management, and blocking of virtual cards
• Real-time payments
• Ensuring uninterrupted payments with support for handling emergency scenarios
• Reliable and secure processes based on multi-factor checks
• Integration with major banking systems and third-party services

System Functionality:

• Client registration, which includes verification, identity confirmation, email, and phone number checks
• Account and service activation, account opening and management, and the use of financial products
• Integration with SWIFT and national payment systems for cross-currency bank transfers
• Support for real-time SEPA transfers, covering 35 SEPA zone countries: Spain, Slovenia, Slovakia, Greece, Austria, Portugal, Norway, Netherlands, Germany, Latvia, Lithuania, and more

Result:

The created Banking-as-a-Service platform supports the entire necessary business cycle of the end client and also has the potential for expansion. It is available for installation both through the client's website and app stores; both versions are visually identical.

• Allows for horizontal scaling as new clients are acquired
• System reliability is ensured by comprehensive client checks
• QR code payment and phone number money transfer functions implemented
• Users can create templates for recurring payments for future use and set reminders
• Online lending available to users at one of the partner banks
• Online deposit opening available to users

Due to outdated document management software, the document approval process was delayed, and occasional failures occurred, negatively impacting the speed of signing documents with clients, document approval, and satisfaction with the program among bank employees and clients.

Technologies Used:

React, Redux, JavaSpring, Camunda, Apache, Kafka, PostgreSQL, MongoDB, Drools, Liquibase, Docker, OpenShift, PrometheusELK


 Project Team:

1 Project Manager, 6 Developers, 2 System Analysts, 2 QA Engineers, 1 DevOps

Project Duration:

18 months

Solution:

The proposed solution is built as a web application integrated with the client's current CRM system and the bank's internal services.

The developed solution allows both individual and corporate clients to create, approve, reject, and sign various banking documents (contracts, acts, receipts, invoices, payment orders, etc.) on the user's side. The internal document management system was updated, significantly reducing time and human resources and improving internal business processes.

System Functionality:

• Creation, editing, storage, and search of structured and unstructured documents
• Management, acceptance, or rejection of reminders to exchange documents from the bank's clients' counterparties
• Digital signature for signing electronic documents: integration with CryptoPro
• Submission of applications for obtaining digital certificates for banking operations and obtaining electronic signatures
• Checking attachments and uploaded files for viruses/threats through integration with Kaspersky antivirus

 Result:

• The bank's document management system was unified, simplifying the decision-making process and optimizing business processes
• The client received a flexible and reliable tool for managing electronic documents, replacing outdated disparate products
• Digital signature is available for approving electronic documents, scanning attachments for viruses, and two-factor authentication to enhance security
• Increased document flow speed
• Seamless integration with the existing CRM system and the bank's internal services
• Standardization of workflows for the client's individual and corporate clients

The outdated legacy system did not meet the updated business processes of the client and hindered data exchange at the document processing stage, negatively affecting user satisfaction and requiring additional financial costs for personnel servicing the system.

Technologies Used:

React, Redux, Java, Spring, Camunda, ActiveMQ, PostgreSQL, MongoDB, Drools, XSLT, Liquibase, Docker, OpenShift, ELK

Project Team:

1 Project Manager, 5 Developers, 1 System Analyst, 1 QA Engineer, 1 DevOps

Project Duration:

11 months

Solution:

The RevotechPro team developed a new core for organization configuration and EDI document processing.
The organization configuration module was completely rewritten from scratch, significantly simplifying the application of organization settings at the document processing stage. Configuration data is now centrally stored in JSON format, replacing the previous system, which had numerous disparate settings across different subsystems.
During project implementation, the document processing stage was reworked using the Camunda business process engine. The new implementation simplifies pipeline configuration and allows for declarative changes to the business process. Additionally, Camunda enables visual monitoring and document resending in case of failures.

System Functionality:

• Declarative organization configuration during registration and document processing setup
• Unified document processing through the Camunda business process core
• Visual monitoring and document resending in case of system failures
• Support for various EDI standards, including EDIFACT, ANSI X12, XML, and JSON
• Data transformation and mapping for format compliance
• Real-time monitoring of document status and lifecycle
• Automation of order processing, invoices, shipments, and other business operations
• Data exchange via multiple communication channels, including FTP, AS2, SFTP, and HTTP/HTTPS
• System security features such as encryption, authentication, access control, and auditing

Result:

The project implementation enabled the client to:

• Simplify the organization registration process for the EDI provider and document processing
• Reduce user connection time by a factor of five
• Minimize configuration errors
• Lower operational costs and optimize staffing

The new processing core, built on a unified business process execution system using Camunda, replaced the legacy solution, improving system maintainability.

To reduce defects in coke production, the client required a quality prediction system using AI to model the optimal price-quality ratio.

Technologies Used:

Java, Spring, Kafka, Liquibase, PostgreSQL, Docker, OpenShift, Microservices, React, Redux, TypeScript, HTML5, CSS3, Python, PyTorch, XGBoost, CatBoost, Scikit-learn

Project Team:

1 Project Manager, 3 Developers, 1 System Analyst, 1 Data Scientist

Project Duration:

8 months

Solution:

An AI-powered charge optimization system was implemented to predict coke quality.
The solution includes an AI model training subsystem, providing a platform for data scientists to develop, train, validate, and deploy models. The system builds a training pipeline that continuously integrates new charge data.
The algorithm iterates through multiple model variations, compares predictions against test samples, and selects the best model for deployment.
Importantly, the AI model does not replace the technologist. Instead, it serves as an intelligent assistant, predicting the optimal charge structure based on specified parameters for coke production.

System Functionality:

The solution consists of several subsystems for data management, providing the technologist/operator with the ability to:

• View and edit general data on available sites and coke ovens
• Manage parameters and optimization methods for AI-driven charge prediction
• Monitor technological parameters
• View the composition and cost of the charge

Result:

The system enabled the client to optimize charge production costs while meeting blast furnace quality requirements. By leveraging a trained AI model, the system calculates the optimal ratio of coal types and allows technologists to run iterative calculations for refining production parameters.

After acquiring two branches outside of home country, the client faced difficulties in exchanging documents between the head office and the branches. A system was required that would allow uploading, storing, and transferring documents in digital format between all structural units.

Technologies Used:

Java, Spring, Camunda, Apache, Kafka, PostgreSQL, MongoDB, Liquibase, Kubernetes

Project Team:

1 Project Manager, 6 Developers, 2 System Analysts, 2 QA Engineers, 1 DevOps

Project Duration:

14 months

Solution:

A large manufacturing company acquired production facilities and trade representations in neighboring countries. Subsequently, an urgent issue arose: the need to implement electronic document management across all legal entities.
To ensure the seamless operation of the sales and logistics department, it was essential to quickly sign and transfer documents between offices in different countries and various formats. Each branch had its own document source—FTP server, database, file system, or message queue server. The task was to establish centralized document management accessible from any office and migrate existing documents from disparate locations into a unified system.
The system also needed to:

• Automatically convert documents from the sender's format to the recipient's format
• Digitize record-keeping in each branch
• Classify documents
• Control document execution

System Functionality:

The developed solution enabled the automation of the following work processes:

• Document exchange with format transformation and access rights management
• The ability to connect new branches by registering and configuring them in the centralized system, ensuring quick resolution of production issues
• Digitization of record-keeping
• Control over document execution
• Reliable protection and access rights management for electronic documents
• Implementation of document storage and archiving procedures
• Establishment of document routing for each type and rules for electronic signatures

Result:

• The digitization of document management accelerated and simplified document exchange within the company, ensured control over document execution, reduced approval and signing times, eased the workload of personnel and accounting departments, and minimized expenses on courier services, office equipment, stationery, and consumables.
• One challenge during implementation was staff resistance. This was resolved through personnel training and the development of instructions and reminders on document handling procedures.

Outdated legacy control panels slowed down laboratory research and lacked the functionality needed for experiment analysis. A modern, mobile solution was required to consolidate reports on all studies and enhance laboratory workflows.

Technologies Used:

Java, Spring, Camunda, Apache, Kafka, PostgreSQL, Liquibase, Docker, OpenShift

Project Team:

1 Project Manager, 3 Developers, 1 System Analyst

Project Duration:

10 months

Solution:

The manufacturer specialized in high-precision programmable measuring instruments that operate in various configurations. These instruments feature multiple interfaces for operator interaction:

   LAN – Enables connection to specialized software installed on the operator's computer
   Proprietary configuration port – Connects to the control panel
   Serial port – Used for firmware updates

In laboratory conditions, it is optimal to use a group of instruments combined into a single system for greater research accuracy rather than operating each one separately. Laboratory technicians required mobility—the ability to move around the lab while monitoring and controlling experiments in real time. The client's existing software was PC-dependent, significantly limiting experiment control.

System Functionality:

A cross-platform application was developed for Android-based tablets. Tablets connect to a WiFi router, allowing technicians to:

• Connect to a group of devices
• Set up and conduct experiments
• Process and initially analyze obtained data
• Store data in a specialized format
• Visualize results in required charts and graphs

Result:

The client replaced outdated control panels with a single tablet-based application that not only manages the instrument system but also enables experiment execution, result analysis, and report generation. Final results can be further analyzed on a computer using the client’s software.

The increased mobility of laboratory technicians allows for quick fault corrections, such as addressing leaks, emergency dumps, and other issues in real time.

A bank payment system was developed for a client, with its configuration and functionality designed to comply with Client’s country of residence legislation and legal requirements agreed upon with the client. The solution provides a high-load API for accounting the use of business services.

Technologies Used:

Java, Spring, Spring Boot, Kafka, RabbitMQ, PostgreSQL, Redis, Liquibase, Docker, Kubernetes, Microservices, GitLab

Project Team:

1 Project Manager, 7 Developers, 2 System Analysts, 2 QA Engineers, 1 DevOps

Project Duration:

18 months

Solution:

The RevotechPro team participated in all stages of development, from designing the project architecture to launching the system.


System Functionality:

As outlined in the Terms of Reference agreed upon with the client, the system includes the following functionalities:

• Selection of a product and tariff plan with the option to subscribe
• Quick switching to another tariff plan
• Subscription suspension or disconnection in case of non-payment
• Automatic generation of payment requests (invoices), including periodic ones, for subscription payments
• Generation of subscription-related documents such as contracts, invoices, and payment acts
• Automated document delivery to specified email addresses, including direct forwarding to accounting departments
• Subscription payment via non-cash settlement, bank transfer, or acquiring (card payments) for both businesses and individuals
• Support for automatic subscription payments with client consent for direct debits
• Notifications about upcoming tariff payments
• Informing users about discounts and promotions on tariffs
• Integration with banking payment services
• Sending documents to related systems (personal accounts, accounting systems, etc.)
• Management of catalog and client account data through an administrative panel

Result:

A unified payment system was created, enabling:

• Simplified and automated subscription renewal with proper documentation
• Easy viewing, downloading, and sharing of documents
• Seamless non-cash transactions and banking operations
• Instant payments completed within seconds
• Expansion opportunities for e-commerce projects, helping attract more clients
• Implementation of modern security, encryption, and data protection standards
• System performance evaluation through an online survey

A fintech client required a mobile application for both Android and iOS to manage personal and family finances, with the ability to connect services from banks, insurance providers, and leasing companies.

Technologies Used:

Java, Kotlin, Swift, Android, iOS, PostgreSQL, Redis, Kafka, ClickHouse, Kubernetes, ELK, Prometheus, Vault, HDFS, Hadoop, Spark

Project Team:

2 Business Analysts, 1 Project Manager, 2 QA Engineers, 3 Backend Developers, 1 iOS Developer, 1 Android Developer

Project Duration:

8 months

Solution:

A financial assistant application was developed to analyze users' account statuses, track expenses, and categorize spending.
It provides personalized tips on achieving financial goals and automatically generates recommendations for saving and investment.
The financial assistant is implemented as a mobile application available on Android and iOS.
A key requirement was the ability to use the app in a family format, allowing family members to connect with customized access rights.
The main goal of the application is to help users plan personal and family finances while receiving tailored offers from partner companies.

System Functionality:

The application includes the following features:

• Automatic reminders for transactions and transfers
• Tracking of daily purchases, bill payments, subscriptions, and money transfers
• A personalized offer library, including insurance, deposits, loans, medical insurance, and investment opportunities, generated by AI based on the user's spending patterns and account balance
• Real-time financial risk modeling (e.g., cash flow gaps) with recommendations for expense distribution
• Personalized investment optimization offers
• Rewards for inviting new users to the program
• Built-in security and fraud prevention mechanisms
• An analytical system that consolidates all data and generates individual financial reports
• Integration with online banking for receipts and reports
• Report generation for partner organizations
• Sorting of partner offers based on purchase ratings
• Creation of savings accounts

Result:

Within the first 11 months, the app was installed 100,000 times.
The application was developed in English, Arabic, among others.
Every 15th user interacts with partner organizations through the app.
The planned DAU, WAU, and MAU metrics were reached within the first three months.
Multiple modern and user-friendly visual interfaces were developed, allowing users to choose their preferred design. Development followed a two-week sprint methodology.

Developing a PWA application for issuing short-term loans is an effective way to increase the accessibility and attractiveness of your service for clients.

Technologies Used:

React, Redux, HTML5, CSS3, Java, Spring, Spring Boot, PostgreSQL, Redis, Docker, Kubernetes, Microservices, GitLab

Project Team:

1 Business Analyst, 1 Project Manager, 1 QA Engineer, 3 Backend Developers, 3 Frontend Developers

Project Duration:

9 months

Solution:

A PWA application was developed for a fintech company, enabling clients to quickly and conveniently obtain short-term loans.

System Functionality:

Registration and Authorization:

   Simple registration using a phone number or email
   Authorization via PIN code or biometrics

Loan Application:

   Selection of loan amount and term
   Calculation of interest and total repayment amount
   Receiving a decision within a few minutes

Loan Disbursement:

   Transfer of funds to a bank account or card
   Signing the contract with an electronic signature

Loan Repayment:

   Online loan repayment using a bank card
   Option for early repayment

Loan History:

   Viewing information about all issued loans
   Detailed payment breakdown

User Profile:

   Editing personal data
   Setting up notifications

Integration with Credit Bureaus:

   Obtaining a credit report
   Improving loan approval chances

Result:

• The PWA application was developed in 4 months
• Available on Android and iOS
• Features a simple and user-friendly interface
• Ensures high-level user data security
• Helped the company increase its client base by 30%

Additionally, the PWA application can include:

• Loan Calculator: For calculating loan amounts and terms
• Loyalty System: To reward regular clients
• Online Chat: For direct customer support

The PWA application can also be integrated with other company services, such as online banking.
Advantages of PWA:

• Quick Access: Installed on the smartphone's home screen like a regular app, enabling fast access
• Offline Access: Some features are available offline, allowing usage without an internet connection
• Push Notifications: Alerts users about key events, such as loan approvals and repayment deadlines
• Cost Savings: PWA applications are more cost-effective to develop and maintain than native apps

Developing a PWA application for making and controlling payments is an effective way to increase the accessibility and attractiveness of your service for clients.

Technologies Used:

React, Redux, TypeScript, HTML5, CSS3, Java, Spring, Spring Boot, PostgreSQL, Docker, Kubernetes, Microservices, GitLab

Project Team:

2 Business Analysts, 1 Project Manager, 1 QA Engineer, 2 Backend Developers, 2 Frontend Developers

Project Duration:

8 months

Solution:

RevotechPro developed a PWA application for a Latvian bank, enabling clients to:

Make Payments:

• Transfer money between accounts
• Pay bills for goods and services
• Make international transfers

Control Expenses:

• View transaction history
• Set spending limits
• Receive transaction notifications

Manage Their Accounts:

• Open and close accounts
• Order cards
• Change security settings

System Functionality:

Payments:

• Transfers between accounts: Select debit and credit accounts, enter transfer amount, confirm transaction
• Bill payments: Scan QR codes from receipts, manually enter details, save templates for recurring payments
• International transfers: Select destination country, enter recipient details, choose currency, calculate fees

Expense Control:

• Transaction history: Filter by date, transaction type, or account; keyword search
• Spending limits: Set daily, weekly, or monthly limits; receive alerts when approaching the limit
• Notifications: Receive push, SMS, or email notifications for transactions

Account Management:

• Opening and closing accounts: Select account type, submit application, confirm action
• Card ordering: Choose card type, personalize, request delivery

Security Settings:

• Change password, set up two-factor authentication, block the card
• Additional Features:
• Support Chat: Real-time communication with a bank operator for assistance
• Personalized Recommendations: Tailored financial product suggestions based on transaction history
• QR Code Scanning: Pay for goods/services, access company websites, retrieve product details
• Integration with Online Banking: View all accounts in one place, transfer funds, pay bills, access technical support
• Security Measures: Data encryption, password authentication, two-factor authentication, and access controls

Result

• Available on Android and iOS
• Simple and user-friendly interface
• Ensures high-level user data security
• Helped the bank increase its number of active users by 15%

Additionally, the PWA application can include:

• Support Chat: For direct communication with a bank representative
• Personalized Recommendations: Based on user spending patterns
• QR Code Scanning: For seamless payments
• The PWA application can be integrated with other bank services, such as online banking.

Advantages of PWA:

• Quick Access: Installed on the smartphone's home screen like a regular app, enabling fast access
• Offline Access: Some features are available offline, allowing usage without an internet connection
• Push Notifications: Alerts users about key events, such as loan approvals and repayment deadlines
• Cost Savings: PWA applications are more cost-effective to develop and maintain than native apps