Through Seed's discovery process, we use interviews and tools to determine what data you may have and where it's located, how you may be currently using it, ways you could be using it but aren't, as well as what can be done more effectively to help you store and use it downstream. 

Seed's team of Agile certified contractors help your mission come in under-budget and before your deadlines by employing Agile development processes, supported by a DevOps pipeline, including continuous integration, automated test, continuous build, and continuous deploy using zero down-time, blue/green deployment.

Through R&D efforts, Seed is pushing the envelope of techniques to understand the information in data to better benefit and enable our clients. We are currently researching applications of human-machine teaming, reinforcement learning, automatic code generation, and applications of CNNs, folding this knowledge into practical application that you can then apply. 

Seed begins with a customer discovery step where we figure out what insight you're trying to gain within your data. Taking that knowledge, we determine if and where there is data to support that need. If the data is available, we develop a plan to access and normalize the data; then we apply various Machine Learning and algorithms to gain the insight you're seeking.  

Once we understand what your goals are and what you're trying to accomplish, as well as whether you're looking for a cloud-based or hybrid solution, we take a look at your current system. Using that information, we come back with a total cost of ownership and migration plan. When developing the migration plan, we work to find the right small-impact low-hanging fruit to start the migration plan and to test and get stake-holder buy-in before executing on the remaining migration plan.

With extensive experience in AWS, Kubernetes and Docker, Seed is able to assist you in developing a containerized, modular architecture and framework that is scalable and extensible based on your goals and needs.