What SSL/TLS did for the internet, STELR does for enterprise AI.
Every AI-generated output your organization produces today has a trust gap: no cryptographic proof of what generated it, when, or whether it was altered afterward. As GenAI adoption accelerates, "we assume it's fine" is no longer an acceptable answer for regulated industries, financial services, healthcare, government, legal, and insurance most of all.
STELR signs every generation made through STELR with a KMS-backed cryptographic signature, records it in an append-only, hash-chained ledger, and gives you a verifiable audit trail you can present months or years later.
Deployed entirely inside your own AWS account. STELR never receives your prompts, your outputs, or your customer content. Signing, ledger storage, and Bedrock invocation all run inside your account's own security boundary, the same trust model your security team already accepts for other AWS-native tools. STELR operates a public key registry for third-party signature verification and usage metering that sends counts, not content.
What you get:
Cryptographic proof that each output's hash was signed by your KMS key, with the model ID and timestamp recorded in the ledger
An append-only, tamper-evident ledger: S3 Object Lock Compliance mode prevents any AWS principal from deleting or modifying ledger objects until the retention period ends, and hash-chained records make edits detectable
Offline verification: anyone with the public key can verify a signature without calling STELR. Keys are published in STELR's registry and can be exported from your KMS
Policy checks at generation time that block, flag, or allow outputs based on rules you define
A full evidence trail for audits, months or years after the fact
Deployment via CloudFormation in minutes; integrate by calling STELR's generate API in place of direct Bedrock calls
Built for regulated industries first. Financial services, healthcare, government, legal, and insurance organizations must be able to show what their AI produced and that it was not altered, to an auditor who was not in the room when it happened. STELR is built for exactly that requirement.
Highlights
Zero content exposure: signs and verifies entirely inside your AWS account, STELR never receives your prompts or outputs, only cryptographic metadata.
Cryptographically non-repudiable: KMS-backed signatures plus an immutable, hash-chained ledger, not a watermark or a heuristic AI detector.
Deploy in minutes via CloudFormation/CDK, works with your existing Amazon Bedrock integration, no application code changes required.
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.
Each AI generation processed through STELR, cryptographically signed, recorded in the immutable provenance ledger, and available for third-party verification.
This listing uses a single usage-based pricing dimension. You pay per AI Generation, meaning each request processed through STELR. Every generation is cryptographically signed, written to an immutable provenance ledger, and made available for third-party verification. Your cost scales directly with the number of generations you process. There are no separate tiers, instance sizes, or add-on dimensions to choose between. Billing metrics report through AWS Marketplace under a contract, while the software itself runs inside your own AWS account.
Top-of-mind questions for buyers
What counts as one AI Generation for billing?
One AI Generation is a single request sent to the /generate endpoint. The system invokes a model through Bedrock, signs the output with a KMS-backed key, and writes it to your provenance ledger. Each request counts once, whether synchronous or asynchronous. Verification calls to confirm a signature are not generations.
Do verification requests count against my billed generations?
The billed unit is each AI Generation processed through STELR. Verification confirms a signature against stored output on demand. A single generation can be verified repeatedly, including batch verification of up to 100 items per call. Only the generation itself drives your metered usage, so verification activity does not add generation charges.
Does my cost change based on which model or how many tokens I use?
Billing meters each AI Generation as a request, not by model choice or token count. You can pass any Bedrock model ID you have access to, and set max_tokens per call, without changing the per-generation unit. One request equals one billed generation regardless of prompt size or model.
stelrai.com+1
Helpful?
Vendor refund policy
Subscription fees are billed in advance and are non-refundable except as required by law. Unused usage within a billing period is not credited. To request an exception or report a billing issue, contact prashant@stelrai.com within 30 days of the charge. Requests are reviewed case by case.
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.
Support
Vendor support
Email: prashant@stelrai.com
Response time: within 1 business day for Starter and Growth tiers; same-business-day for Enterprise.
Documentation: http://stelrai.com/#how
Onboarding: guided setup included with every subscription tier; Enterprise customers receive a dedicated onboarding session.
Support scope: covers deployment, signature verification, ledger/audit questions, and integration troubleshooting. Does not cover legal or regulatory interpretation of your specific compliance obligations.
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.
PureVector, Real Time AI Content Detection & Segregation
PureVector by STELR AI is an enterprise grade trust layer that detects and classifies AI generated vs. human content in real time, directly within your AWS data pipelines. Ideal for preventing AI-on-AI loops, ensuring content provenance, and meeting compliance mandates like the EU AI Act. Native S3 and Lambda support. Zero friction. Full auditability.
Provenance lets business teams create sophisticated analytics without writing SQL or building dashboards. Ask in plain language and get complete, reusable analyses with interactive reports, inspectable calculations, and a traceable execution history. AI interprets your request; Provenance software performs the computation.
NewPage Solutions delivers production-ready generative AI and agentic AI systems for life-sciences organizations, eliminating stalled pilots with pharma-grade governance on AWS.
Prove data integrity and detect tampering with a managed Merkle tree API. Generate RFC 9162-compliant inclusion and consistency proofs via a low-latency REST endpoint on AWS.
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.