Synthefy is building multi-modal generative AI models for time series data.
For custom pricing, EULA, or a private contract, please contact contact@synthefy.com, for a private offer.
Highlights
Synthefy's Generative AI technology allows customers in energy, finance, networking, e-commerce, and more to unlock insights from their rich time series data.
Synthefy uses state-of-the-art GenAI to provide actionable insights from your time series data.
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 is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This on-premises listing offers one pricing dimension: Standard Tier, billed by requests. You buy under a contract, and each request runs a forecast using a multi-modal time series model. Pricing scales with the number of requests you make. A request sends your labeled example rows plus the rows you want predicted in a single call. There are no separate instance sizes or add-on tiers here — you commit to this single request-based tier for the contract term.
Top-of-mind questions for buyers
What counts as one request for billing under the Standard Tier?
One request is a single prediction call. You send your labeled example rows plus the rows you want predicted together in one call. The model returns one value per query row. That whole call counts as one request, regardless of how many rows you include.
Is there a limit on how much data I can send in a single request?
Yes. A single request is capped at about 64 MiB, covering all your example rows and query rows together. Larger requests are rejected before the model runs. If you approach the limit, send fewer example rows, use fewer features, or split query rows into smaller batches counted as separate requests.
Does batching more prediction rows into one call reduce my request count?
Yes, within the size limit. Cost scales with the number of requests, not the number of rows inside each request. Packing more query rows into one call keeps it as a single billed request. But the whole call must stay under the size cap, or it splits into more requests.
docs.synthefy.com
Helpful?
Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
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.
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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.
Synthefy-Nori is a foundation model for tabular data that replaces the train-and-tune workflow: pass your labeled rows as context and get predictions in a single forward pass - no training, tuning, feature engineering, or cross-validation. It achieves the highest mean R2 of any tabular foundation model across 96 public regression datasets and beats tuned gradient boosting (XGBoost/LightGBM) on 9 of 13 TabArena tasks, at just 6M parameters. It deploys as an Amazon SageMaker endpoint that runs entirely within your own AWS account.
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.