Listing Thumbnail

    Smartbot Software

     Info
    Sold by: Smartbot 
    Deployed on AWS
    Smartbot is a Real-time Emotion Aware ML Model that delivers enhanced customer experience

    Overview

    Understanding Emotion-Aware AI: The Next Step in Customer Service Evolution. While traditional AI solutions focus on transactional elements, the Smartbot ML Model is Emotion-Aware AI, focusing on the human side of customer interactions by analyzing the sentiment and tone behind them. Emotion-aware AI systems can detect subtle emotional cues like vulnerability, frustration, and satisfaction. SERTS (Sentiment Evaluation in Real-time Speech) uses advanced machine learning algorithm to evaluate sentiment in real time. This helps businesses truly understand their customers voices and emotions and deliver empathetic, AI-driven support for vulnerable customers and beyond

    Highlights

    • Smartbot is emotion-aware AI that analyses the emotional tone to detect cues like frustration or satisfaction or vulnerability. Powered by SERTS (Sentiment Evaluation in Real-time Speech). It uses advanced an ML algorithm to evaluate sentiment in Real-time as well as helping businesses understand customer emotions and deliver empathetic AI-driven support
    • SERTS deep learning algorithm performs competitively with state-of-the-art models, achieving a mean Macro-F1 score of 72 percent on the challenging improvised scripts of the IEMOCAP dataset. This model was trained and tested using an NVIDIA RTX 6000 Ada GPU

    Details

    Delivery method

    Latest version

    Deployed on AWS

    Unlock automation with AI agent solutions

    Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
    AI Agents

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Smartbot Software

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (8)

     Info
    Dimension
    Description
    Cost/host/hour
    ml.m5.xlarge Inference (Batch)
    Recommended
    Model inference on the ml.m5.xlarge instance type, batch mode
    $0.00
    ml.m5.xlarge Inference (Real-Time)
    Recommended
    Model inference on the ml.m5.xlarge instance type, real-time mode
    $0.00
    ml.m5.large Inference (Batch)
    Model inference on the ml.m5.large instance type, batch mode
    $0.00
    ml.m5.large Inference (Real-Time)
    Model inference on the ml.m5.large instance type, real-time mode
    $0.00
    ml.c5.xlarge Inference (Batch)
    Model inference on the ml.c5.xlarge instance type, batch mode
    $0.00
    ml.g4dn.xlarge Inference (Batch)
    Model inference on the ml.g4dn.xlarge instance type, batch mode
    $0.00
    ml.c5.xlarge Inference (Real-Time)
    Model inference on the ml.c5.xlarge instance type, real-time mode
    $0.00
    ml.g4dn.2xlarge Inference (Real-Time)
    Model inference on the ml.g4dn.2xlarge instance type, real-time mode
    $0.00

    Vendor refund policy

    This is a free product and does not require payment or refunds. For any support or refund concerns, email support@smartbotsoftware.com  or go to smartbotsoftware.com and navigate to the Contact Us section

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    Amazon SageMaker model

    An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.

    Deploy the model on Amazon SageMaker AI using the following options:
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    SmartBot V2 introduces a multimodal emotion recognition model capable of processing raw audio inputs in real time. This version supports base64-encoded .wav inputs and performs speech-to-text transcription, spectrogram generation, and text-audio fusion for emotional analysis. Compared to V1, this version has improved accuracy on diverse speakers and emotion categories

    Additional details

    Inputs

    Summary

    SmartBot V2 accepts JSON input structured as a dictionary of base64-encoded .wav audio clips. Each entry must include a unique uid key. No text input is required—the system performs speech-to-text internally. Example format:

    {   "invocations": {     "uid123": "",     "uid456": ""   } }

    Limitations for input type
    - Audio must be mono `.wav` format, 16-bit PCM, 16kHz. - Max file size per audio clip: 3 MB - Each request supports up to 10 audio clips
    Input MIME type
    application/json
    {   "invocations": {     "12345": "UklGRtQAAABXQVZFZm10IBAAAAABAAEA...",     "jh13d3": "UklGRkQAAABXQVZFZm10IBAAAAABAAEA..."   } }
    {   "invocations": {     "12345": "UklGRtQAAABXQVZFZm10IBAAAAABAAEA...",     "jh13d3": "UklGRkQAAABXQVZFZm10IBAAAAABAAEA..."   } }

    Resources

    Vendor resources

    Support

    Vendor support

    Smartbot provides prompt and reliable support for all users. Our team is available Monday to Friday (9 AM to 5 PM BST) to assist with technical queries. Customers can expect a response within 48 hours of raising a support request. For critical issues, we prioritise resolution with utmost urgency. We are committed to ensuring a smooth and valuable experience with Smartbot Support Email: support@smartbotsoftware.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 AWS reviews
    No customer reviews yet
    Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.