Software Alternatives, Accelerators & Startups

Scale Nucleus VS Akkio

Compare Scale Nucleus VS Akkio and see what are their differences

Scale Nucleus logo Scale Nucleus

The mission control for your ML data

Akkio logo Akkio

No-Code AI models right from your browser
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20
  • Akkio Landing page
    Landing page //
    2023-08-22

Scale Nucleus videos

Using Scale Nucleus & Rapid to Label New Datasets Efficiently

More videos:

  • Review - Scale Nucleus: Send to Annotation
  • Review - Scale Nucleus: Find Missing Annotations

Akkio videos

Getting Started With Akkio

Category Popularity

0-100% (relative to Scale Nucleus and Akkio)
Developer Tools
61 61%
39% 39
AI
41 41%
59% 59
Tech
100 100%
0% 0
Data Science And Machine Learning

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scale Nucleus and Akkio

Scale Nucleus Reviews

We have no reviews of Scale Nucleus yet.
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Akkio Reviews

Top 10 AI Data Analysis Tools in 2024
Akkio is a business analytics and forecasting tool designed specifically for users who are new to AI-powered data analysis. Its user-friendly interface and streamlined workflow enable users to upload their datasets and select the variables they wish to predict. Akkio then builds a neural network around those variables, making it an ideal solution for predictive analysis,...
Source: powerdrill.ai

Social recommendations and mentions

Based on our record, Scale Nucleus should be more popular than Akkio. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Scale Nucleus mentions (2)

  • [Discussion] The most painful thing about machine learning
    At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
  • Unit Testing for Production ML Workflows?
    To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago

Akkio mentions (1)

What are some alternatives?

When comparing Scale Nucleus and Akkio, you can also consider the following products

PerceptiLabs - A tool to build your machine learning model at warp speed.

Algforce.ai - Natural language data query, AI data insight, and data collaborative construction. Integration services for office software and internal application embeddings are coming soon.

Aquarium - Improve ML models by improving datasets they’re trained on

Lobe - Visual tool for building custom deep learning models

ML Image Classifier - Quickly train custom machine learning models in your browser

Obviously.ai - The entire process of running Data Science - building Machine Learning algorithm, explaining results and predicting outcomes, packed in one single click.