Start processing 100% of complex documents.
Submit your information to get started with super.AI Intelligent Document Processing (IDP).
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What's the difference between super.AI and Indico Data? Let's take a look at how the features of both platforms compare.
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Modern SaaS microservices
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Modern SaaS microservices
Leverages 5 different modern AI OCRs
Proprietary OCR
Latest AI/ML techniques
Multiple different classification steps
Multiple OCRs paired with multi-level AI delivers industry-leading results
Multiple different extraction steps; Limited ability to add, configure, and manage validation rules
Includes sophisticated queues, routing, custom instructions, gamification, 150+ quality assessment mechanisms, and support for any data type
Includes sophisticated queues and routing; Lacks gamification, advanced quality measurement, ability to add instructions, and limited to documents
Deploy on-demand, curated human workers in your region for training, validation, and post-processing
Fuzzy matching against databases and ability to add any business logic in Python
Limited; unable to normalize data formats post-extraction
Users define quality, cost, and speed thresholds then super.AI guarantees the results
Simple AI confidence levels only
Multiple OCRs paired with multi-level AI delivers industry-leading results
OCR works well for standard forms
Multiple OCRs paired with multi-level AI delivers industry-leading results
OCR works well for semi-structured docs
Multiple OCRs paired with multi-level AI delivers industry-leading results
May struggle with highly variable unstructured document stores
Leverages the best AI/ML model for each use case (e.g., KYC, redaction, damage detection, image classification, etc.)
Limited to specific use cases
Leverages the best AI/ML model for each use case (e.g., drone footage processing, license plate extraction, damage detection, redaction, etc.)
Limited to specific use cases
Leverages the best AI/ML model for each use case (e.g., transcription, speaker identification, etc.)
Limited to specific use cases
Leverages the best AI/ML model for each use case (e.g., classification, sentiment analysis, data extraction, etc.)
Limited to specific use cases
