Software Alternatives, Accelerators & Startups

Assista.us VS Amazon SageMaker

Compare Assista.us VS Amazon SageMaker and see what are their differences

Assista.us logo Assista.us

Assista AI - Build Your own Conversational AI with the help our SaaS platform.

Amazon SageMaker logo Amazon SageMaker

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
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Assista AI revolutionizes customer interaction with swift, code-free AI deployment. Emphasize your brand's unique voice with customizable avatars for an engaging, professional experience. Break language barriers with multilingual support, and turn any document into an interactive chatbot in seconds. Assista offers unwavering reliability with 99.9% uptime and stringent security measures, ensuring your AI is always ready to assist. Perfect for e-commerce, healthcare, and more, it's AI made effortless and accessible.

  • Amazon SageMaker Landing page
    Landing page //
    2023-03-15

Assista.us

Website
assista.us
$ Details
freemium $20.0 / Monthly (Standart)
Release Date
2023 November

Assista.us videos

Assista AI Product Showcase

Amazon SageMaker videos

Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker - AWS Online Tech Talks

More videos:

  • Review - An overview of Amazon SageMaker (November 2017)

Category Popularity

0-100% (relative to Assista.us and Amazon SageMaker)
Customer Service
100 100%
0% 0
Data Science And Machine Learning
AI
10 10%
90% 90
Chatbots
100 100%
0% 0

Questions and Answers

As answered by people managing Assista.us and Amazon SageMaker.

How would you describe your primary audience?

Assista.us's answer

Assista's primary audience includes businesses across various sectors such as e-commerce, software development, customer service providers, healthcare, travel, and insurance industries. These businesses are seeking efficient and personalized conversational experiences to enhance customer engagement.

Why should a person choose your product over its competitors?

Assista.us's answer

A person should choose Assista AI over its competitors because it offers a user-friendly platform that enables easy AI model customization in just three clicks, advanced AI models for effective responses, and a focus on customer experience and support, setting it apart in the market.

What makes your product unique?

Assista.us's answer

Assista tackles the issue of resource-heavy customer service by offering a solution that reduces the time spent on customer interactions by up to 80%. Our AI-driven platform allows businesses to implement no-code chatbots that efficiently handle customer inquiries, cutting down on the need for extensive human support and enabling around-the-clock service.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Assista.us and Amazon SageMaker

Assista.us Reviews

We have no reviews of Assista.us yet.
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Amazon SageMaker Reviews

7 best Colab alternatives in 2023
Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning. It allows users to write code, track experiments, visualize data, and perform debugging and monitoring all within a single, integrated visual interface, making the process of developing, testing, and deploying models much more manageable.
Source: deepnote.com

Social recommendations and mentions

Based on our record, Amazon SageMaker seems to be more popular. It has been mentiond 37 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.

Assista.us mentions (0)

We have not tracked any mentions of Assista.us yet. Tracking of Assista.us recommendations started around Nov 2023.

Amazon SageMaker mentions (37)

  • Quantum Convolutional Neural Networks
    Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. - Source: dev.to / 20 days ago
  • Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations
    Damn straight. Oh, wait, some vendors have claimed to build an end-to-end solution. But, meh, that’s marketing talk. Take, for example, a well-known platform like Amazon Sagemaker, which describes itself as “a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case.” It’s a great platform. My startup has even partnered with them.... - Source: dev.to / about 2 months ago
  • Sentiment Analysis with PubNub Functions and HuggingFace
    At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / 2 months ago
  • Beginning the Journey into ML, AI and GenAI on AWS
    Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 5 months ago
  • Technical Architecture for LLMOps
    Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: about 1 year ago
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What are some alternatives?

When comparing Assista.us and Amazon SageMaker, you can also consider the following products

Dante AI - Custom GPT chatbots trained on your data

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

NativeAI - NativeAI is an advertising and analytics platform for news publishers on web and mobile.

Deepnote - A collaboration platform for data scientists

ChatPDF - Chat with any PDF using the new ChatGPT API

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.