We spar with the key stakeholders to uncover the main business pain points, and how data assets and AI can help overcome those pains. We account for humans, processes, and business models when creating the roadmap to success.
Our deep technological expertise combined with business mindset makes us a potent auditor, whether it be for funding round or just to get a second opinion on the selected technology stack and AI algorithms.
Sometimes it is better to first have deep dives on use cases and designs, and have a good understanding of the underlying data.
We do not hesitate to jump into the development loop and help unleash the full potential of your digital assets. We favor long term business benefits over short-term quick wins.
We have a long and versatile history with data integrations. We have built data pipelines and data models for medical databases, patient record systems, DNA sequencing data, market analysis and varied healthcare-related databases.
Do you have a data-driven business idea that but are missing the tech team? We can help you get on the right track of turning your ideas into reality.
"From Veracell we found a professional team that we had been looking for to advance our lifecycle modeling. The results of the project are promising and lead us towards a production solution."
Our 21st century applications are cloud native and leverage cloud services to ensure high level of security. Our developers are proficient in security practices and cloud application security.
Azure Cloud provides infrastructure for running and developing applications, including user control, storing and serving data, building and running data pipelines, distributed computing and monitoring of everything above.
Terraform is an open source tool for automating and managing cloud infrastructure. Automated management makes quality control and maintenance easier.
Databricks is a cloud service for developing and running Spark jobs, pipelines and analyses. We use Databricks in all our projects involving big data analysis or heavy-duty data pipelines. We prefer Scala as our production Spark language.
We carefully constructed a few fixed-price services that have proved to be valuable. If the road ahead is not completely clear, we can help with crafting a well-thought plan for your next step in digitalisation.