Overview
Trellis Data addresses the limitations of off-the-shelf translation and transcription tools by developing custom AI solutions capable of understanding and processing bespoke languages. We create production ready models that bridge the gap where mainstream options fall short, equipping enterprises, government agencies, and high-security organizations with language solutions tailored to their unique needs and use cases. We specialize in training, fine-tuning, and optimizing speech-to-text AI models, ensuring accurate output for niche, low-resource, or specialized languages. Our models are designed to deliver optimal results, while providing the linguistic accuracy and cultural sensitivity required for mission-critical applications. Our models are already deployed and trusted by law enforcement and high security agencies in Government.
Highlights
- Accurate transcription with preprocessing aimed at handling a variety of audio sources.
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $0.30 |
ml.g4dn.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g4dn.xlarge instance type, real-time mode | $0.40 |
ml.g4dn.xlarge Inference (Batch) | Model inference on the ml.g4dn.xlarge instance type, batch mode | $0.30 |
ml.g6.xlarge Inference (Real-Time) | Model inference on the ml.g6.xlarge instance type, real-time mode | $0.40 |
ml.g5.xlarge Inference (Real-Time) | Model inference on the ml.g5.xlarge instance type, real-time mode | $0.40 |
Vendor refund policy
Refund Policy (Effective: 09/10/2026) Refunds for Trellis Data Speech Transcription models may be granted for technical issues unresolvable by support, billing errors, or duplicate charges. Services already rendered, custom configurations, or costs from customer misuse or misconfiguration are non-refundable. This policy operates per AWS Marketplace terms. Contact: support@trellisdata.com.au (9AM-5PM AEDT, weekdays). Policy subject to updates.
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Content disclaimer
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.
Version release notes
- Support for Sagemaker Invocations
Additional details
Inputs
- Summary
Supports file inputs with the following media types ['audio/wav', 'audio/mpeg']. For files larger than 30 seconds the model will split the audio into 30 second chunks for processing and provide the output per chunk.
Please include the content-type when sending a file for inference. See sample notebooks linked.
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
ContentType | Please specify a valid content type matching the file being uploaded. One of ['audio/wav', 'audio/mpeg'] | - | No |
Support
Vendor support
Email our team at: support@trellisdata.com.auÂ
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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