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Dioptra.ai

Model management metrics engine

Dioptra.ai logo
1-20 employees
  • B2B
  • Artificial Intelligence
  • Training
  • Business Intelligence
  • Machine Learning
  • SaaS
  • Data Analysis
Civic Center, New York, NY

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Company mission

To remove the blockers ML teams face when trying to actually achieve the impact they expected to see in production.

Our take

Dioptra is a newly founded company setting out to combat undetected data that product models are struggling with. Through the power of AI, Dioptra has created a platform whereby you can visualise all of your data seamlessly and Machine Learning Teams can then use this data to fuel decision making and ultimately improve product models.

Often in MLOps, unstructured data falls to the sidelines, meaning possible valuable information is being lost that could feed into the evolution of projects. Considering the fact Machine Learning is still becoming an industry standard the market for Dioptra is still growing. The reliance on such deep tech does mean however that companies like Dioptra are in demand as we now rely on a machine to automate something a human might’ve once done.

Securing funding in mid 2022, the company has kept fairly quiet in terms of “what’s next” so we will wait eagerly to see how this exciting start-up develops.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Benefits

  • Remote-friendly
  • Significant equity stake in the company

Funding (2 rounds)

Aug 2022

$0.5m

SEED

Nov 2021

$1.4m

SEED

Total funding: $1.9m

This company has top investors

Leadership

Pierre-Hadrien Arnoux

(CEO)

Previously held several roles in the Machine Learning Team at IBM Watson. Has since worked as Principal Machine Learning Engineer at Ocrolus.

Jacques Arnoux

(CTO)

Previously worked as a Software Engineer at Yahoo, Engineering Lead at Netsil and AI-Ops Staff Software Engineer at Nutanix.

Farah Gasmi

(CPO)

Worked as Sr Product Manager - Data Science Platform at Spotify and is an Adjunct Professor - Product Management (Data & ML products) for Columbia Business School.