e2f's Gen AI Quality Monitoring Service enables customers to submit text generated by their Gen AI applications for expert human annotation and rating. With detailed feedback across 5 categories for response (Harmlessness, Honesty, Helpfulness, Naturalness and Readability), plus 5 more categories for the prompt (Intelligibility, Harmlessness, Ambiguity, Inquisitiveness and Time sensitivity) and 10 min of fact checking with evidence url, this service supports high-quality, data-driven improvements for Gen AI training and performance refinement.
e2f's Gen AI Quality Monitoring Service enables customers to submit text generated by their Gen AI applications for expert human annotation and rating. With detailed feedback across 5 categories for response (Harmlessness, Honesty, Helpfulness, Naturalness and Readability), plus 5 more categories for the prompt (Intelligibility, Harmlessness, Ambiguity, Inquisitiveness and Time sensitivity) and 10 min of fact checking with evidence url, this service supports high-quality, data-driven improvements for Gen AI training and performance refinement.
Highlights
Constant feedback: Receive detailed annotations and quality ratings on Gen AI generated text across 5 categories for response (Harmlessness, Honesty, Helpfulness, Naturalness and Readability), plus 5 more categories for the prompt (Intelligibility, Harmlessness, Ambiguity, Inquisitiveness and Time sensitivity) and 10 min of fact checking with evidence url, allowing for precise, actionable insights that enhance model training.
Seamless API Integration: Easily incorporate human evaluation into your existing Gen AI workflows through a flexible API, enabling streamlined integration and rapid response for an automated training process.
Boosted Gen AI Performance: Optimize your models output quality and relevance with targeted human insights, designed to improve contextual accuracy, appropriateness, and overall response quality in real-world applications.
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.
You pay based on usage, measured by the total number of tasks or units completed. There is a single pricing dimension, so your cost scales directly with how many verification tasks you run. The more units you process, the more you pay; there are no fixed tiers or seat commitments here. This model fits AI output quality monitoring, where each verified claim or output counts as a completed task. Billing rises and falls with your actual activity.
Top-of-mind questions for buyers
What counts as one completed task or unit for billing?
A task is one verification the platform runs on an AI output. Each output is broken into atomic claims, then checked against external sources. Every claim is scored, flagged if unsupported, and given an evidence trail. You are billed per unit as these verification tasks complete.
Do I commit to a fixed amount, or do charges follow my actual activity?
You do not commit to a fixed quantity or seat count. Charges meter the total tasks completed, so your bill tracks real activity. Verify more outputs and cost rises; verify fewer and cost falls. There are no tiers or minimum thresholds in this dimension.
Am I charged when no verification tasks run during a billing period?
Billing is tied to completed tasks. If you run no verifications in a period, no task-based charges accrue for that dimension. Cost appears only when the platform completes verification work on your AI outputs.
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Vendor refund policy
For refund requests related to the E2F LLM Monitoring Service, please contact our billing team at awsbilling@e2f.com. Refund requests will be reviewed within 5 business days, and customers will be notified promptly of the decision. Our team is dedicated to ensuring a fair and transparent process to address any billing concerns.
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