Machine Generated is a content feed platform developed by Pricing Culture Inc., a leader in making data more accessible to people and machines.
Whether you're a writer, researcher, marketer, product manager, developer, or anyone in need of data-driven content, Machine Generated provides pre-built content feeds for immediate deployment and custom built private content feeds based on your specifications.
We source vetted data from premium vendors and transform it into Data Blocks —similar to traditional printing blocks. These Data Blocks encapsulate the essential information needed for GPT models to produce accurate and reliable textual narratives.
Process Overview:1. Data Sourcing: Acquire high-quality data from trusted vendors.2. Data Processing: Convert sourced data into structured Data Blocks.3. Narrative Generation: Utilize a top-tier GPT model to generate textual narratives.Our approach ensures the fidelity of the data used from source through to narrative.Read more here: www.machinegenerated.com/high-quality-content-feeds
Yes. All textual narratives created using retrieval augmented generation are reviewed by a series of cascading quality assurance filters before delivery.Our data quality assurance process: - Flag data errors in textual narratives created. - Resolve data errors detected in textual narratives. - Escalate un-resolved errors to human review teams for resolution.This ensures high-quality output while lowering data hallucinations. We do not send all content generated for human reviews prior to delivery.
However, human editors can be requested to review and edit all content delivered on select feeds for an additional fee.
Yes, we build custom content feeds using public, private and proprietary data.
Custom feeds are tailored to your specifications and delivered via private APIs.
Our plans are designed for individual researchers and developers.All Generalist Feeds are included in the plans below.
Insights 90:$24.99/monthInsights 365: $49.99/month Evaluate plans with a 7-day free trial before committing.