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Unweave
Serverless machine learning
- 1-20 employees
- B2B
- Artificial Intelligence
- Machine Learning
- SaaS
- Cloud Computing
- Middletown, DE
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Company mission
To make machine learning tooling a breeze to work with.
Our take
Machine learning is a difficult field to get into - aside from extremely advanced mathematics and statistics, it's also necessary to be able to build backend infrastructure. Promising "ML without the FML", Unweave offers a serverless machine learning environment that runs in the cloud without intense manual configuration.
Unweave solves three problems at once for machine learning engineers - the need to manage complex data pipelines, versioning issues and difficulty in collaboration. Engineers can interact collaboratively with large amounts of data which is stored in a cloud environment. Pricing is flexible and geared towards smaller startups which especially need this service. However its marketing reach is limited and it remains to be seen if this tool will develop a strong foothold in the market.
Unweave has closed a pre-seed funding round and is planning to expand its engineering talent. If it can capitalise on this early success and grow its client base, it stands a strong chance of developing into a significant business in this sector.
Freddie
Company Specialist at Welcome to the Jungle
Benefits
- Stock Options → Every employee gets above market stock options!
- Flexible Working policy → be flexible in the way you work: decide for yourself if you want to join on-site or remote! We’re happy to support your relocation to Berlin or London if needed.
- Company Retreat → once a quarter, we rent a Big House™️ in a badass location and work out of there together (all paid ofc).
- Home Office Setup → we'll get you an M1 MacBook or your preferred workstation or cold hard cash ($1500) to help setup your home office battle-station.
- WFH Monies → more dough ($150 / month) for the upkeep of your battle-station.
Leadership
Noorvir Aulakh
(Founder)Also a Fellow with On Deck. Previously was a Software Developer at Gro and a Computer Vision/Machine Learning Engineer at Microspi Industries.