Planning for success
With success comes scale, and scale is a multiplier on technical
debt. That’s why we help growing companies meet the demands of
their success.
We’ve helped individual customers save hundreds of thousands of
dollars, while improving the reliability and quality of their
services supporting millions of concurrent users.
Complex problems
Due to the complexity and operational costs of designing,
training, and operating machine learning models, not all
problems should be solved with machine learning.
However, for the problems that should, our expertise in deep learning combined with our
expertise in software and system design allows us to offer our
customers cost-optimal end-to-end full-stack solutions to complex problems.
Hybrid Multi-Cloud Distributed Systems
We have helped numerous customers drastically reduce their
cloud and server maintenance costs while
improving scalability and reliability of their services.
We beleive abstractions like containers and Kubernetes is the
future and we can help you at each
step in your transition to a more automated and cost-effective infrastructure.
DevOps & DataOps
We live and breathe DevOps, but we also believe DataOps is a field deserving its own name.
We develop tooling and processes that bridge the gaps between GPUs, software engineers and data scientists to enable more efficient AI teams and truly data- driven organizations.
International and Chinese Cloud solutions
We have over a decade of experience on either side of the Great
Firewall, making us uniquely equipped to build multinational
infrastructure.
Work with us to make sure that your Chinese customers have the same experience as your western ones through powerful multi-cloud, cross-GFW infrastructure.
End-to-End Continuous Delivery
Working iteratively should not mean working repetitively. We
believe firmly in automating every step in your delivery cycle,
so that you can focus on what really matters.
Investing in automation drastically reduces the risk of failure and downtime, but also frees up your engineering talent to focus on innovation and iteration rather than repetition and troubleshooting.