INWT as Your Scalable Data Science Department
Price at € 5,000 - 45,000 Monthly depending on customized solutions (excl. VAT)
Hire Best-in-class Data Science Team
Do you need a data science team or department? You need high quality analysis and also somebody to interpret the results to the executive board of your company. It takes time to build up such a team, and it is very difficult to find the right people. Consider a partnership if you want high quality team management, IT infrastructure and short development cycles. Let INWT be your data science team, so that you can focus on your core business. We can bring a project live within only three months!
We excel at predictive analytics and data science, and together we can build and deploy any product tailored to your company. Along with data warehousing, over IT infrastructure, to REST APIs and dashboards, we provide predictive analytics as part of our core services. We can help allocate the right people to the right projects, using the right technologies. We can offer to host any application as a service, or directly develop and deploy to your local or public cloud infrastructure. Every line of code we write can be reviewed and used by you at any time. We also offer a service level agreement and guaranteed response times, even outside of regular office hours.
All code we write will always be accessible to you. All infrastructure we manage can be on your AWS account. We only use open source and SaaS products to create applications which will minimize long term costs and maintenance efforts. We even explain the core logic of the algorithms and onboard your staff to the project, once you decide to build your own team.
- Agile Development: Data products are complex. The industry standard in software development for such products is to follow an agile management approach. That means we will release and deliver new versions of your product frequently. Improving it with every iteration with a continuous commitment to quality and customer satisfaction.
- Full-Stack: We provide services in data warehousing and pipelines, modeling, continuous integration and deployment (CI/CD), unit, integration and acceptance testing, dashboards, REST APIs, IT operations and maintenance support. We offer the complete stack required to launch and host your application.
- Collaboration: We will have a shared Slack channel and weekly meetings. We assess the risks for every coding decision, and develop strategies to mitigate these risks. Meetings will be prepared and moderated. Providing a mutually respectful working environment for our collaboration is one of our biggest priorities.
- Experience: We transfer our knowledge and expertise to your team. Currently we manage over 100 GitHub repositories for our clients, have more than a hundred services we manage including databases, kubernetes clusters, APIs, dashboards, and predictive algorithms. Our data pipelines process hundreds of GBs of data every day. Our databases handle more than a million requests per day, and our APIs run more than 500 requests per minute. We build software systems around predictive algorithms, so let us serve your business needs today.
Who We Are
INWT was founded in 2011 as a university spin-off. We are a full-stack data science consultancy and specialize in data science software solutions. We combine extensive, handson expertise in data science with the latest cloud technologies to build reliable software systems. Transparency, integrity, and adherence to the highest quality standards are the hallmarks of how we work and build relationships with our clients.
INWT in Numbers
INWT currently has 18 employees, adding up to more than 100 years of experience, 217 successfully completed projects, 7 PhDs, expertise in 10 scientific fields, and more than 300,000 lines production R and Python code under our belts. We host dozens of micro services, including dashboards, REST APIs, databases, batch jobs and event driven real time analytics applications for our clients. Our services respond to more than a million requests per day, process hundreds of GBs of data daily and utilize state-of-the-art machine learning algorithms.