Lynceus

Machine learning for smart manufacturing

Lynceus logo
21-100 employees
  • B2B
  • Artificial Intelligence
  • Manufacturing
  • Deep Tech
  • Machine Learning
Sentier, Paris, France

Company mission

To enable the simultaneous optimization of Quality, Throughput and Costs with minimal additional CAPEX or headcount investments.

Our take

Lynceus is developing an AI-powered predictive operating system for manufacturing, that delivers real-time visibility into every step of the production process. Through the OS, users can assess the quality of their products as they are being made, without having to wait to run physical testing. This enables them to know where an issue is originating and target their response towards a swifter and easier resolution.

The product, called Lynceus Argo, has been designed to integrate with existing databases and systems, and runs entirely on existing data. This means there is no need for businesses to update legacy systems, making for fast deployment without the need to halt production.

Lynceus has begun by tackling automotive-grade semiconductor manufacturing, though its offering has the potential to be used across any high-value, complex industrial environment. It has certainly made an impression in the space, and will be one to watch as it further develops.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Benefits

  • Mentorship & guidance
  • A laptop of your choice
  • Opportunity to join a growing startup and be a key success factor
  • Meals & transportation refund

Funding (1 round)

Jun 2020

$1.6m

SEED

Total funding: $1.6m

This company has top investors

Leadership

David Meyer

(Co-Founder & CEO)

Former Head of Operations (France) for Circ, and Operations and Logistics Manager at Uber. Previously co-founded Ephemart, an itinerant art gallery.

Guglielmo Montone

(Co-Founder & CTO)

Was a Postdoctoral Researcher at Université Paris Descartes for 4 years. Before that, was a Research Assistant at Università degli Studi di Napoli Federico II.