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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.
Overview
PureVector by STELR AI - The Trust Layer for Generative Content
As generative AI floods enterprise systems, organizations face a critical question: 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
- 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.
Details
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Pricing
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Try this product free according to the free trial terms set by the vendor.
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/unit |
|---|---|---|
Ingest API Calls | Number of times the ingestion APIs are called | $0.015 |
Streaming Ingest Calls | Number of streaming ingestion API calls | $0.015 |
Dimensions summary
You pay based on how often you call the ingestion APIs. Pricing has two independent usage dimensions, each billed per unit. Ingest API Calls count each time you call the standard ingestion APIs. Streaming Ingest Calls count each streaming ingestion API call separately. There are no tiers or fixed commitments. Your cost scales with the number of calls you make in each category. You can use one or both dimensions, and each is metered on its own. This lets your spend track directly to your actual ingestion activity.
Top-of-mind questions for buyers
Each Ingest API Call is one request to the standard ingestion API. Each Streaming Ingest Call is one request to the streaming ingestion API. The product signs AI-generated content at creation, so each signing request through these APIs meters as one unit in its category.
The two dimensions bill independently and add together on the same invoice. Standard Ingest API Calls meter separately from Streaming Ingest Calls. Neither depends on the other. Which one drives your cost depends on whether you send content through the standard or streaming ingestion path.
You pay only for calls you actually make. Both dimensions meter per unit with no fixed commitment. If you send no Ingest API Calls or Streaming Ingest Calls, no usage charges accrue for that period. Cost scales directly with your call volume.
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Vendor refund policy
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
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