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Intelligent Document Processing (IDP)

Extract data from any document with guaranteed quality. Leverage the latest AI models and super.AI Data Processing Crowd for human-in-the-loop (HITL) review.

Trusted By Enterprises In Logistics, Shipping, Financial Services, And Technology Worldwide

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Why choose the super.AI Data Processing Crowd?

Super.AI’s Data Processing Crowd offers a number of advantages over standard solutions for human-in-the-loop. The chart below summarizes key differences between our offering and the competition.

Super.AI HITL
Standard HITL
Validation Queues
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Role-based Access Control (RBAC)
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Escalation Rules
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Ltd.
Skills Qualification
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Task-specific Processing Instructions
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On-demand Resource Scaling
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Task Gamification
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Quality Assurance Mechanisms
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150+
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Pay-Per-Use
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Pay per Headcount

How Does the super.AI Data Processing Crowd Work?

Here’s how we tap the right crowd for the job and guarantee results.
Skills Qualification
Workers must pass general skills tests that evaluate abilities such as reading comprehension, adherence to instructions, and more. Most importantly, tests that use your specific data are administered during qualification.
Diagram showing a central avatar linked to four items on the left and four items on the right, with one item on the right marked in red as not qualified.
Diagram showing a task with known ground truth icon connected to a person icon, leading to a task completion icon with a checkmark and +2% trust label.
Continuous QA
Tasks with known answers (ground truth) are sent to workers at random to ensure output quality is consistent. Inconsistent workers are checked more frequently, while consistent workers are checked less frequently.
Consistency Scoring
Permutations of the same tasks are sent to workers to identify temporary drops in performance due to fatigue or distraction.
Flow diagram showing a task assigned to a person, with two resend options leading to a -11% trust score on one option.
Diagram showing a person receiving instructions; two flagged boxes with icons lead from the person, one marked 'Customer Alerted' in red, the other in green with a checkmark.
Internal Audit Team
If an anomaly is detected during task processing, an internal audit team is notified. Experts in writing and debugging instructions help resolve any issues.
Expert Review
Tasks that pass through the quality control pipeline without reaching a user-defined accuracy threshold can be routed to experts (in-house or third-party) for review. Our platform is designed to minimize the use of an expert review panel as much as possible.
Diagram showing three audit documents connected to a person icon, leading to either a failed result with 2% trust in red or a passed result with 3% trust in green
Illustration showing four purple-styled avatars with increasing stacks of dollar signs below each, representing performance-based compensation.
Performance-based Compensation
To create an incentive to resolve tasks accurately and develop their skills, workers are compensated based on the value they provide to you. High-performing workers receive more responsibility and compensation over time.

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