Discover Neucom Software Design
Our Vision
In today's world, businesses constantly face many challenges on their data driven journey. Software complexity, for example, is a major obstacle that can lead to decreased productivity, increased defect density, and high staff turnover. When it comes to Big Data Analytics, the obstacles can start as early as defining a concise data-strategy to being able to run all the data engineering pipelines/ data science reports with efficiency.
Neucom specializes in software and data engineering, focusing on designing high-performance data pipelines and webservices. Our expertise lies in supporting businesses on their data driven journey by enhancing Big Data analytics capabilities, crafting Data Science reports, and creating exceptionally fast websites while prioritizing cost efficiency and performance. We engage collaboratively with clients throughout the process, starting from laying the groundwork for data strategy and extending to agile software development stages.
Based in Zurich, Switzerland , Neucom thrives in providing solutions to ambiguous and challenging data/software projects - as there is no silver bullet. We strive for excellence and we are not afraid to put in the work to achieve it. We never stop learning, exploring, improving. We are passionate about high performance software, and we are driven by coding and innovation, the catalyst behind our work. For us there are no concessions, high performance software and cost efficiency can go hand in hand.
What sets Neucom apart from other consulting companies is our team of best-in-class professionals who focus primarely on short and narrowly-scoped engagements. Our team has a high-performance computing background on both data engineering and software development. They are constantly looking for ways to improve code efficiency. Neucom's goal is to make agile software development easier for businesses, by helping them overcome limitations and optimize their processes. With Neucom, companies can focus on meeting their business requirements while keeping their software solutions stable and efficient. Neucom offers three services: time-windowed consulting/engineering engagements, complete software engineered components, and trainings. We also offer currently one product: high-performance websites.
We build our name on making code run faster and more efficiently, not on talking about code. Productive code speaks louder than words.
Work with us
Neucom’s values are rooted in everything we do and the way we work. We believe that:
- Productive code speaks louder than words: Less talking, more doing. We create value by translating our ideas into an efficient Big Data analytics pipeline or a high-performance software engineering component that fulfills (and surpasses) our clients’ expectations.
- Open-source makes us stronger: Neucom uses open-source software for its day-to-day activities and encourages its employees and partners to make contributions to large open-source projects. Each employee can spend 10% of their time only contributing to large open-source projects. Neucom's founder, Marco Lotz, actively contributes to Apache open-source projects and other open-source initiatives.
- You own the way you work: Neucom does not believe in obligatory on-site attendance to efficiently contribute and deliver. Neucom’s employees are requested to perform in their best capabilities, to deploy best practices, to always use their moral compass in decision-making and to deliver solutions towards requests they are assigned.
History
For more than 13 years, Neucom's CEO, Marco Lotz , has been deeply immersed in embedded systems and Big Data Analytics inventing or contributing to the architecture, and implementation of large-scale software systems. Throughout this time, he encountered numerous clear-cut situations where software optimization problems or lack of clear data strategy could cost companies unnecessary multi-million-dollar figures per annum. His pursuit of enhancing software efficiency also resulted in the filing of multiple patents in relational and graph related technologies.
Patents
In one sector, for example, he uncovered a process that was taking more than 50 hours to be performed due to a Java garbage collection mistuning and memory representation of data, which was later reduced to 2 minutes. In the medical sector, he came across a Big Data Analytics pipeline taking more than 5 hours to be executed due to the size of the files and unnecessary JVM initialization, which later was optimized to 5 minutes. Finally in a third sector, by creating a set of predictive analytics capabilities, he found out that many unused data, or not optimized productive pipelines, were the root cause of spending millions of dollars per annum, before the corrective actions were taken. In all these scenarios he was able to materialize the savings with software engineering optimizations.
During his industry experience, the founder found that while many agile software engineers excel at implementing daily systems, challenges arise when system complexity grows or requires fine-tuning to meet specific business needs. In such cases, companies often face a dilemma: sacrificing their business requirements and missing out on the original envisioned value, or opting for costly workarounds. These workarounds typically lead to increased cloud expenses, originated from potential scaling-up or scaling-out needs.
In this scenario, numerous companies outside the high-end tech industry face challenges in optimizing their systems for cost-effectiveness, especially when their primary focus isn't rooted in software engineering (e.g., banking, automotive design, healthcare platforms). This mismatch between their core business and technical workforce becomes evident through:
- Difficulty to pin-point bottlenecks and failure root causes: oftentimes even when pin-pointed successfully, businesses commonly suffer from a lack of software engineering personnel that can provide elegant solutions.
- Reduced velocity of new features and bug-fixes to legacy code: Misunderstanding of What Good Looks Like (WGLL) often leads to a disconnect between agile technical teams and product owners. This lack of trivial correlation with the product's value makes it challenging to effectively prioritize technical debts, hindering efforts to boost velocity at later stages of the journey.
- Tight coupling between multiple system components: creating a dependency relationship between vendors or a long-lasting relationship with technical personal suppliers.
Addressing these challenges to enhance a business's overall performance and profitability (while promoting financial prudence) when Big Data analytics or agile software is required, Marco Lotz established Neucom. A software company specializing in high-performance software and optimizations across various domains, our core focus is delivering short, targeted engagements to companies requiring software optimization aligned with specific and well-defined business needs.