EthonAI AG

Produce more with less with agentic AI workflows

Ethons Industrial AI Platform solves a key challenge: small process deviations that spiral into multi-million dollar losses.

Our platform understands how production processes behave in real-time, surfacing deviations and explaining what drives variation. It guides teams to optimize cost, quality, and speed across factories, by
1) creating a common factory context across disparate data sources,
2) analyzing production data with Causal AI models tailored to manufacturing,
3) turning insights into role-specific guidance for process experts and the shop floor

Customers have reduced production waste by >80% and generated USD 20M+ in cost savings.

Curious to learn more?
Explore our website https://www.ethon.com/ and follow us on LinkedIn.

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Computer Vision Engineer, Applied ML

Engineering / Fulltime

Ethon, a Zurich-based leader in Industrial AI backed by Index Ventures and General Catalyst, is seeking a Computer Vision / Machine Learning Engineer to build and deploy computer vision systems that optimize global manufacturing. Operating at the intersection of applied ML and software engineering, you will design, train, and debug production-ready models, taking them from early prototypes to real-world factory deployments while staying ahead of state-of-the-art vision advancements. The ideal candidate has a strong technical foundation in computer science, proven experience shipping CV pipelines to real users, and a deep understanding of training dynamics and evaluation methodologies. Joining this fast-paced team in Zurich offers competitive compensation, stock options, and a high-impact environment where you will work directly with founders to solve the manufacturing industry's "trillion-dollar waste problem."

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TOP 100 Swiss Startup Award

The TOP 100 Swiss Startup Ranking features the 100 most promising startups that are not older than five years and are selected by a jury of early-stage investors.

Website

ETH Spin-off

Website

EthonAI AG

Produce more with less with agentic AI workflows

Headquarter:
Zürich

Foundation Date:
November 2021

Technology:

  • ICT

Support received

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