Nyckel
nyckel.com
Actively hiring
Natural Language Processing
AI Development Tools
Computer Vision
Machine Learning
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Backers
1
Y Combinator
Momentum
0/100
no fresh signals
Last sign of life
1 mo ago
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Jan 23, 2024
On the Hacker News front page Machine Learning Is Still Too Hard for Software Engineers · 117 points
Apr 28, 2022
Launched on Hacker News Show HN: Semantic Search of Millions of NFTs
Feb 22, 2022
On the Hacker News front page Machine learning is still too hard for software engineers · 178 points
Jan 2022
Went through Y Combinator
2020
Founded
Tractionpublic signals, read monthly
Backed byfrom the funds' portfolios and accelerator catalogs
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Overview
Nyckel provides a machine learning API where developers create custom image and text classifiers from a handful of examples. Founded in 2020 in Seattle by former Microsoft engineers, it handles training, hosting and active learning automatically. Content moderation and product categorisation are common uses.
News
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End-to-End AutoML: Your AutoML Platform Should Span the Entire ML Development Lifecycle
And end-to-end AutoML platform that handles all aspects of the ML development lifecycle offers significant benefits when compared to AutoML platforms that only do model training.
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Are Bounding Boxes Necessary for Object Detection?
Are bounding boxes necessary for object detection? We experiment to discover whether center pointing or bounding boxes are more efficient.
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9 Ways to Use a Data Engine to Improve Your ML Model
You can improve ML systems in two ways: better models or better data. Learn how to improve your data by finding and annotating hard-to-classify cases.
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Service Oriented Design Applies to ML Too
Service oriented design applied to machine learning will help manage ML complexity and build scalable organizations. Learn why.
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Whac-a-Spammer - How to Deal with Bots on Your Site
Learn the tools, tips, and tricks to prevent bots from taking over your site.
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Machine Learning is Still Too Hard for Software Engineers
Machine Learning has made huge strides in the last few decades, but it remains largely inaccessible to the average developer. This post examines some of the reasons why.
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AutoML benchmark: Nyckel vs Google vs Huggingface
A comparison of accuracy, training times, and invoke latencies for three major AutoML engines
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Offices
Where the company hires and what each office is for
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1
Seattle
United States
HQ