Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
PureVector by STELR AI - The Trust Layer for Generative Content
As generative AI floods enterprise systems, organizations face a critical question:
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Do you know if the data flowing through your pipelines is real, or AI-generated?
PureVector is an AWS-native content authenticity engine that automatically detects and classifies AI-generated versus human-authored data in real time. Whether content is ingested via API, uploaded to an S3 bucket, or streamed through your pipelines, PureVector continuously inspects and routes it to ensure AI governance, auditability, and compliance.
Key Capabilities
- AI-vs-Human Classification: High-accuracy model distinguishes AI-generated content from human-written content using advanced linguistic and statistical signals.
- S3-Aware Architecture: Automatically scans content as it enters your S3 buckets, classifying and routing it to /human/ or /ai/ prefixes.
- Real-Time Inference: Lightweight Lambda-compatible API enables sub-second detection without interrupting workflows.
- Audit Logs and Metadata: Enriched output includes classification confidence, timestamp, and source metadata for traceability.
- Webhook and SIEM Integration: Stream results into existing governance or security workflows.
Compliance Support
PureVector supports enterprise AI governance aligned with:
- EU AI Act
- NYDFS AI accountability guidelines
- Internal model review and dataset traceability programs
Deployment
- Fully serverless and API-first
- Deployable via AWS Lambda, S3 event triggers, or direct API
- Quickstart templates available for common ingestion flows
Who It Is For
- Data Science and MLOps teams needing AI hygiene
- Legal and Risk teams focused on regulatory compliance
- Education, publishing, finance, and government institutions handling sensitive or regulated content
Stop training your models on AI-generated content.
With PureVector, you always know what is real and what is not.
Highlights
Highlighted by the publisher on AWS Marketplace.
Real-time AI content detection: Instantly classify and segregate AI-generated vs. human-authored content as it enters your AWS pipelines.
Built for GenAI governance: Prevent AI-on-AI training loops, enable dataset hygiene, and support compliance with EU AI Act, NYDFS, and SOC 2.
AWS-native and API-first: Seamlessly integrates with S3, Lambda, and event-driven workflows for zero-friction deployment.
Preview
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Agent build and provenance
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Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
STELR AI does not offer automatic refunds for usage-based charges. Refunds may be considered on a case-by-case basis for billing errors or technical issues. Requests must be submitted within 14 days of the charge. Contact: support@stelrai.com
Sources
Linked repositories
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