Our projects

TeQatlas is a comprehensive SaaS platform designed to streamline the entire capital raising and investment process, offering a one-stop solution that supersedes traditional networking and investment management tools. By harnessing advanced AI technology, it provides precise matching recommendations, ensuring that investors and companies connect based on aligned interests and criteria, facilitating more meaningful and productive engagements.

The platform's mission to provide equal access to the global investment community is pivotal in leveling the playing field for entrepreneurs worldwide. This democratization effort aims to foster a more vibrant and diverse business ecosystem, where opportunities for funding and growth are accessible to a broader range of companies, regardless of their size or stage.

TeQatlas also incorporates a wealth of resources and tools to support users through every phase of the investment journey, from initial outreach and connection to deal closure and post-investment management. Its user-friendly interface and data-driven insights empower users to make informed decisions, optimize their investment strategies, and ultimately contribute to a more prosperous global business landscape. Through TeQatlas, the intricate process of capital raising and investment management becomes more integrated, efficient, and accessible, promising a future where more businesses can thrive and scale successfully.

Datamix, known for its proficiency in software and Machine Learning, embarked on crafting an advanced matchmaking algorithm for TeQatlas, aimed at seamlessly connecting investors with startups. The endeavor began with a comprehensive discovery workshop, where both teams delved into defining the project's scope, ensuring a focus on creating highly personalized and effective matchmaking experiences. This groundwork led to the development of a system using a complex microservice architecture, which is key to facilitating the scalability and modular management of the platform's diverse functions.

The choice of Vue.js for the front-end was strategic, enabling the creation of a dynamic, interactive user interface that engages users effectively. Node.js was selected for the back end to handle the algorithm's intricate logic and data handling, ensuring robust and efficient processing. This combination has proven essential in crafting a user-centric platform where functionality and performance converge seamlessly.

Throughout the development process, the project was shaped by iterative feedback from TeQatlas, ensuring that each feature and function was aligned with user needs and market trends. This collaboration was instrumental in completing the initial phase within six months, leading to a beta version that has been essential for testing and refining the platform’s capabilities.

With the integration of Vue.js and Node.js within the microservice architecture, the platform not only meets current technological standards but also offers the flexibility to evolve with the industry's demands. It stands as a testament to Datamix's ability to leverage cutting-edge technology to create scalable, efficient, and impactful solutions. This forward-thinking approach ensures that the matchmaking platform can continuously adapt and improve, positioning it as a pivotal tool in the investment and startup sectors.

In the DataMix user experience strategy, design is pivotal, starting with in-depth research to grasp the end-users' mindset. This comprehensive approach led to testing five different prototypes in Figma, engaging real founders and investors to validate the concepts. The process included several workshops to refine the understanding and application of UI/UX principles, ensuring that the designs not only met but exceeded user expectations.

Throughout this journey, the focus was on iterating through wireframes and prototypes, allowing both the design team and stakeholders to explore and assess the functionality and aesthetic appeal of each iteration. These prototypes, developed in Figma, were instrumental in identifying user preferences and operational efficiencies, thus informing the final design direction.

By combining UI best practices with technical proficiency, DataMix ensured that each design phase contributed to a cohesive and user-friendly experience. The result was a series of well-crafted interfaces, each accompanied by detailed style guides to maintain consistency across the platform. This meticulous process of designing, testing, and refining with real user feedback has led to a product that not only looks professional and polished but also provides an intuitive and satisfying user journey, reflecting the pragmatic and professional ethos demanded by founders and investors alike.