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
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Delivery method
Latest version
Deployed on AWS
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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.
Pricing
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.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $10.50 |
ml.m5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m5.xlarge instance type, real-time mode | $10.50 |
Dimensions summary
You pay by the hour for running this emotion-aware AI model on an ml.m5.xlarge instance. Billing is usage-based, so charges accrue for each hour the model runs. The two dimensions differ only by inference mode. Batch mode processes grouped data in scheduled runs. Real-time mode handles requests as they arrive, supporting live customer interactions. Both bill on the same instance size at an hourly rate. You choose the mode that fits your workload, and you can run either or both. Costs scale with the number of host hours you use.
Top-of-mind questions for buyers
You pay for one ml.m5.xlarge instance running the model for each host hour. This instance size sets the compute and memory allocated to your inference workload. Charges accrue per hour the model runs, regardless of how many requests you process in that hour.
Software charges accrue only while the instance runs, billed per host hour. A fully stopped instance stops the hourly software meter. Underlying AWS resource fees may still apply for storage tied to a stopped instance, but the model software bills running time only.
Both bill per host hour on the same ml.m5.xlarge instance. Batch mode meters hours during scheduled runs on grouped data. Real-time mode meters hours the instance stays available for live requests. You can run either or both, and each accrues its own hourly charge.
www.smartbotsoftware.com
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Vendor refund policy
Usage-based charges are generally non-refundable. If you encounter a billing error or technical issue that prevents normal use, contact us at support@smartbotsoftware.com within 30 days of the charge. We will review each request and issue a refund where appropriate. For assistance, visit smartbotsoftware.com and go to the Contact Us section.
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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:
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.
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