End-to-end
We analyze your products & processes and identify the right uses cases. We coach your team. We guide you on responsible AI. We make you AI-ready.
We do an assessment of your requirements, your systems and your data. We develop a detailed concept for your AI and how to implement it. Free of charge.
We build your fully functional AI model at high speed and show you how it transforms your business. State-of-the-art.
We implement our prototype into your sytems & processes. We scale the AI to your needs and safety requirements. We go live together. Squaired!
We host your AI and feed its results to your point of choice. You only need to upload your data. Safe, flexible and easy.
We maintain your model, monitor its performance and upgrade its power as new data comes in. Enter the virtuous cycle of AI with us.
Excellent
Our AI team comes from leading Universities like Stanford, ETH or Tsinghua. We use cutting edge technology to realize your use case.
Our services give you maximum control over results and budget. We avoid black box projects through modularity and our free pre-study.
Our processes are designed to deliver fast. We do rapid prototyping and implementation so that you can focus on the business impact of AI.
Our blend of excellence, speed and price is unmatched. We seamlessly integrate our on/off-shore teams for optimal design and development.
Meta
AI is a meta-power that transformes business models across industries.
From agriculture to manufacturing, from logistics to retail.
In the back office, production or customer support.
Or straight to R&D and design.
And how about new product features?
Magic
AI can do powerfull things with your data.
Recommendation, quality inspection and predictive maintenance.
Forecasting, sentiment classification and fraud detection.
Or (almost) anything else.
What do you have in mind?
Machine learning
AI today is driven by new techniques in machine learning and deep learning.
Computer vision, NLP and reinforcement learning.
Supervised, unsupervised, structured and unstructured.
Or pre-trained models and transfer learning.
Where is the limit?