DigitalMara

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Overview

$10,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

50 - 249

Employees

2012

Year Founded

ABOUT DIGITALMARA

Dedicated teams with excellence in every project

DigitalMara is a comprehensive development firm with roots in Estonia, boasting extensive experience in creating scalable and high-performance digital solutions. We transform intricate concepts into practical, user-friendly products, including web and mobile applications, analytics dashboards, enterprise systems, virtual assistants, IoT, and AI products across various business sectors. Our technology stack features JavaScript, React, Angular, Node.js, Python, Java, .NET, and cloud services like AWS, Azure, and Google Cloud. We focus on custom software development, delivering tailored solutions that meet the specific needs of different businesses and industries. Whether modernizing legacy systems or building innovative applications from the ground up, we adhere to a structured development process that ensures seamless integration, security, and long-term reliability. We can deliver a functional minimum viable product (MVP) within three months and a working prototype in just one month. Our team manages a smooth development process from ideation and design to deployment and ongoing enhancement. Additionally, our IT outstaffing services can help you enhance and expand your tech and digital teams, providing high-quality IT resources such as software programming, architecture, UX & UI design, testing, DevOps engineering, and business analysis. We offer support through individual developers or a dedicated team, depending on the project's scope and complexity.

Tech Stack

Amazon Application Development FrameworkAzure PlatformNodeJSReactReact NativeFlutterJavaJavaScriptPHPPython

Languages Spoken

EnglishGreek

HIGHLIGHTS

$10,000+

Min Project Size

$25 - $49/hr

Avg Hourly Rate

50 - 249

Employees

2012

Year Founded

Services

Focus

Industries

Clients

Services Provided

17% Custom Web Application Development

10% Mobile App Development (iOS & Android)

7% Legacy System Modernization

13% BI & Big Data Consulting & SI

13% IT Staff Augmentation

7% Other IT Consulting and SI

33% Managed IT Services

About the Team

OUR STORY

With over 14 years of experience, DigitalMara excels in delivering advanced outsourcing and outstaffing services, supported by a skilled team of 120+ full-time IT professionals. Serving 40+ clients across 11 countries, the company specializes in diverse industries such as e-commerce, healthcare, finance, education, and more. Committed to punctuality and budget adherence, 91% of their projects are completed without extensions. Offering flexible pricing models—Time and Material, Cost Plus, and Fixed Price—DigitalMara ensures transparency and suitability for various project scales and dynamics. Their development process emphasizes short iterations for quick delivery, security compliance, and continuous improvement through staff training and process optimization. As a trusted partner in digital transformation, DigitalMara combines reliability, speed, and tailored software solutions to meet evolving business needs.

Portfolio

Agribusiness insights platform

Unknown

**About the Client** Kynetec is a world-renowned leader in market research and analytics for the agricultural and animal health sectors, operating in more than 80 countries. The company delivers critical market intelligence that helps agribusinesses make informed decisions regarding crop protection, seeds, equipment, and animal health. By combining farm-level data with sophisticated analytics, Kynetec can forecast market trends and promote sustainable growth. **Challenge** As Kynetec experienced rapid growth, the company recognized the need to expand its technical team and address infrastructure issues to meet changing demands. Their primary objectives included: improving data engineering, developing a modular interface, establishing scalable infrastructure, and enhancing visual analytics. **Approach** We undertook the following tasks: - **Platform Development with Machine Learning** We provided predictive analytics to bolster Kynetec’s data strategy, enabling agribusinesses to make data-informed decisions with both long- and short-term forecasts for agricultural inputs. - **Infrastructure Optimization** We integrated modular Terraform modules to ensure efficient infrastructure management and implemented CI/CD pipelines for smooth deployment processes. We also constructed a scalable infrastructure utilizing AWS and Azure to enhance performance. - **Data Collection and Processing** We developed functionalities for extensive data collection and advanced processing, establishing intelligent interpretation systems for seamless data integration across various departments. - **Data Visualization with Power BI** We designed and implemented interactive Power BI dashboards that deliver real-time analytics and actionable insights for business users. Additionally, we ensured seamless integration of Power BI with existing systems to create visually appealing reports that facilitate informed decision-making.

Evolution of the search algorithm

Unknown

**About the Client** DRAX Executive is a consulting firm based in the UK that evaluates businesses and their leadership to uncover potential success drivers. Their operations are enhanced by a proprietary insights platform, which utilizes a distinctive analytical algorithm. **Challenge** DigitalMara was approached by the client with the goal of expanding their data engineering team to hasten development. They had an existing basic ETL (extract, transform, load) platform, including some front-end components, and sought to enhance its functionalities to boost search precision and efficiency. ETL, a crucial element in managing data warehouses, must efficiently process raw data from various external sources, extracting pertinent information and then cleaning and converting it for future use. The analysis data is gathered from multiple origins, and the primary challenge is the diverse formats, syntax, and content of this information. Additionally, fragmented data requires classification, organization, and accurate interpretation for effective visualization to users. **Approach** DigitalMara has worked on improving the search and data processing features of the DRAX platform, specifically enhancing the Search API (Application Programming Interface). This API connects to the ETL system, enabling precise and comprehensive full-text searches across large datasets and, crucially, allowing for the creation of indexes that yield more efficient and faster search outcomes for users. When the incoming data is found to be incomplete, inaccurate, or corrupted, further processing is conducted to cleanse the data and restore it to its appropriate format, while unverifiable information is discarded.

Web app Cloud access platform for Smart homes

Unknown

About the Client: HomeSeer is a US-based technology firm specializing in smart home solutions, ranging from simple controls to sophisticated automation. Users of their app can monitor and manage various aspects of their homes, such as lighting, thermostats, door locks, sensors, water valves, security cameras, media devices, and more. Additionally, the application offers a remote access platform, allowing users to control their smart home systems from anywhere. Challenge: The client had an existing web application but encountered problems related to outdated architecture, as well as insufficient flexibility, scalability, and compatibility with third-party components. Their initial request involved upgrading the software, which entailed rewriting the current functions with a more modern approach, refreshing the technology stack, and, most importantly, developing a new app architecture. A significant challenge was the uncertainty stemming from the fact that no one had been actively maintaining the application for an extended period. The client lacked clear technical specifications, the tasks were not well-defined, and changes were being made on the fly. Additionally, there was a scarcity of technical support, with no one available to explain how parts of the system functioned, how features were implemented, and the reasons behind certain decisions. Approach: We began the development process by designing a new app architecture and dividing it into subprojects. Next, we focused on configuring the architecture, which included implementing a dependency injection mechanism, establishing communication with the database, detailing and configuring all business entities, and setting up logging. We then proceeded to implement a comprehensive authentication and authorization process, tackling functionality block by block. Ultimately, we restructured nearly all the features of the original application while establishing a new architecture. In practice, this entailed:

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