Power your products & processes with

artificial intelligence

Power your products & processes with

artificial intelligence

End-to-end

  • Get AI-ready

    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.

  • Free pre-study

    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.

  • Rapid prototyping

    We build your fully functional AI model at high speed and show you how it transforms your business. State-of-the-art.

  • Full implementation

    We implement our prototype into your sytems & processes. We scale the AI to your needs and safety requirements. We go live together. Squaired!

  • Plug & play

    We host your AI and feed its results to your point of choice. You only need to upload your data. Safe, flexible and easy.

  • Life cycle support

    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

State-of-the-art

Our AI team comes from leading Universities like Stanford, ETH or Tsinghua. We use cutting edge technology to realize your use case.

Control

Our services give you maximum control over results and budget. We avoid black box projects through modularity and our free pre-study. 

Speed

Our processes are designed to deliver fast. We do rapid prototyping and implementation so that you can focus on the business impact of AI.

Value

Our blend of excellence, speed and price is unmatched. We seamlessly integrate our on/off-shore teams for optimal design and development.

Everywhere

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? 

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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?

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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?

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