{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_hyperscience","slug":"hyperscience","name":"Hyperscience","type":"product","url":"https://www.hyperscience.com","page_url":"https://unfragile.ai/hyperscience","categories":["automation"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_hyperscience__cap_0","uri":"capability://productivity.unstructured.document.extraction","name":"unstructured-document-extraction","description":"Automatically extracts structured data from unstructured documents like invoices, contracts, forms, and reports with high accuracy. Uses AI to understand document layout, context, and content relationships to pull relevant information without manual data entry.","intents":["I need to extract key fields from hundreds of invoices without manual entry","I want to pull data from scanned documents that have varying formats","I need to capture information from complex multi-page contracts automatically"],"best_for":["Large enterprises processing high document volumes","Organizations with complex, domain-specific documents","Companies with dedicated automation teams"],"limitations":["Requires training on domain-specific documents for optimal accuracy","May struggle with extremely rare or novel document formats","Implementation and customization requires technical resources"],"requires":["Sample documents for model training","Clear definition of fields to extract","Integration with backend systems","Dedicated implementation team"],"input_types":["PDF documents","scanned images","unstructured text","multi-page documents"],"output_types":["structured JSON","database records","CSV exports","API responses"],"categories":["productivity","automation","document-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hyperscience__cap_1","uri":"capability://productivity.intelligent.document.classification","name":"intelligent-document-classification","description":"Automatically categorizes and routes documents into predefined classes or workflows based on content understanding. Learns from examples to classify documents with high accuracy without explicit rule-based logic.","intents":["I need to sort incoming documents into different processing queues automatically","I want to route invoices, receipts, and contracts to different teams based on document type","I need to identify and flag high-risk or priority documents for manual review"],"best_for":["Organizations receiving mixed document types","Companies needing intelligent document routing","Enterprises with complex document workflows"],"limitations":["Requires sufficient training examples for each document class","May misclassify documents with ambiguous characteristics","Needs periodic retraining as document types evolve"],"requires":["Labeled training dataset of documents","Clear classification taxonomy","Workflow system to receive routing decisions","Feedback mechanism for model improvement"],"input_types":["PDF documents","images","scanned documents","digital documents"],"output_types":["classification labels","confidence scores","routing instructions","workflow triggers"],"categories":["productivity","automation","document-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hyperscience__cap_10","uri":"capability://productivity.compliance.and.audit.tracking","name":"compliance-and-audit-tracking","description":"Maintains comprehensive audit trails and compliance documentation for all document processing activities. Tracks data lineage, processing decisions, and human reviews to support regulatory requirements and audits.","intents":["I need to maintain audit trails for regulatory compliance (SOX, HIPAA, GDPR)","I want to track who reviewed and approved each document for compliance","I need to demonstrate data lineage and processing decisions for audits"],"best_for":["Regulated industries (finance, healthcare, legal)","Organizations with strict compliance requirements","Companies undergoing regular audits"],"limitations":["Audit trail storage can be resource-intensive","Compliance requirements vary by industry and jurisdiction","May require custom compliance configurations"],"requires":["Audit logging infrastructure","Compliance requirement definitions","Data retention policies","Audit reporting tools"],"input_types":["processing events","user actions","approval decisions","system changes"],"output_types":["audit logs","compliance reports","data lineage documentation","audit trails"],"categories":["productivity","automation","compliance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hyperscience__cap_11","uri":"capability://productivity.multi.language.document.processing","name":"multi-language-document-processing","description":"Processes and extracts data from documents in multiple languages with language detection and translation capabilities. Handles documents with mixed languages and regional variations.","intents":["I need to process invoices from suppliers in different countries and languages","I want to extract data from documents in Spanish, French, German, and English","I need to handle documents with mixed language content"],"best_for":["Global enterprises with international operations","Companies with multilingual document sources","Organizations expanding to new markets"],"limitations":["Accuracy may vary by language and document type","Requires training data in each target language","Translation quality depends on language pair and context"],"requires":["Language detection capability","Training data in target languages","Translation or multilingual models","Language-specific validation rules"],"input_types":["documents in multiple languages","mixed-language documents","regional document variants"],"output_types":["extracted data","language identification","translated content","normalized output"],"categories":["productivity","automation","document-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hyperscience__cap_12","uri":"capability://productivity.human.in.the.loop.review.interface","name":"human-in-the-loop-review-interface","description":"Provides user-friendly interfaces for human reviewers to validate, correct, and approve automated extractions. Enables efficient review workflows with annotation, feedback, and model improvement capabilities.","intents":["I need reviewers to quickly validate and correct extracted data","I want to collect feedback from human reviewers to improve model accuracy","I need to manage review queues and track approval status"],"best_for":["Organizations with human review requirements","Companies needing quality assurance workflows","Enterprises improving models through feedback"],"limitations":["Human review is slower than fully automated processing","Review quality depends on reviewer expertise and attention","Requires training and change management for reviewers"],"requires":["Review interface and tools","Review queue management","Annotation and feedback mechanisms","Reviewer training and guidelines"],"input_types":["extracted data","source documents","confidence scores","review instructions"],"output_types":["validated data","corrections and annotations","approval decisions","feedback for model improvement"],"categories":["productivity","automation","quality-assurance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hyperscience__cap_2","uri":"capability://productivity.custom.ai.model.training","name":"custom-ai-model-training","description":"Enables training of domain-specific AI models on proprietary documents without requiring machine learning expertise. Provides low-code interfaces for organizations to customize models for their unique document types and business rules.","intents":["I need to train an AI model on our specific document formats without hiring ML engineers","I want to improve extraction accuracy for our industry-specific documents","I need to adapt the system to our unique business processes and document variations"],"best_for":["Enterprises with specialized document types","Organizations with domain expertise but limited ML knowledge","Companies needing rapid model customization"],"limitations":["Requires sufficient labeled training data (typically hundreds of examples)","Model quality depends on data quality and labeling accuracy","Training and iteration cycles take time"],"requires":["Labeled training documents","Clear definition of extraction targets or classification rules","Domain expertise to validate model performance","Iterative feedback process"],"input_types":["labeled document samples","field definitions","business rules","validation datasets"],"output_types":["trained AI models","model performance metrics","extraction templates","classification rules"],"categories":["productivity","automation","machine-learning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hyperscience__cap_3","uri":"capability://productivity.workflow.automation.orchestration","name":"workflow-automation-orchestration","description":"Orchestrates end-to-end business processes by connecting document processing with downstream systems and human workflows. Manages task routing, approval chains, and system integrations to automate complex multi-step operations.","intents":["I need to automate the entire invoice-to-payment process including extraction, validation, and approval","I want to create workflows that route documents through multiple teams and systems","I need to integrate document processing with our ERP and accounting systems"],"best_for":["Large enterprises with complex multi-step processes","Organizations with multiple systems and teams","Companies needing end-to-end process automation"],"limitations":["Requires careful process design and mapping","Integration complexity depends on system compatibility","Change management needed across multiple teams"],"requires":["Clear process documentation","API access to downstream systems","Defined approval rules and routing logic","Change management and training"],"input_types":["extracted document data","business rules","system APIs","approval criteria"],"output_types":["workflow execution logs","system updates","approval notifications","process metrics"],"categories":["productivity","automation","workflow-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hyperscience__cap_4","uri":"capability://productivity.enterprise.system.integration","name":"enterprise-system-integration","description":"Connects Hyperscience with existing enterprise systems including ERPs, accounting software, CRMs, and databases. Provides pre-built connectors and APIs for seamless data flow without replacing existing infrastructure.","intents":["I need to send extracted invoice data directly to our SAP system","I want to update our CRM with customer information extracted from documents","I need to integrate with our existing RPA platform and legacy systems"],"best_for":["Enterprises with complex system landscapes","Organizations avoiding system replacement","Companies with existing RPA investments"],"limitations":["Integration complexity varies by target system","Requires API documentation and system access","May need custom integration work for legacy systems"],"requires":["API access to target systems","System documentation","Integration team or partner","Data mapping specifications"],"input_types":["extracted data","system APIs","database schemas","integration specifications"],"output_types":["system updates","database records","API calls","integration logs"],"categories":["productivity","automation","integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hyperscience__cap_5","uri":"capability://productivity.accuracy.validation.and.review","name":"accuracy-validation-and-review","description":"Provides confidence scoring and automated quality assurance to identify extractions requiring human review. Routes uncertain or high-risk extractions to human reviewers while allowing high-confidence results to proceed automatically.","intents":["I need to ensure extracted data meets accuracy requirements before processing","I want to automatically flag extractions that need human verification","I need to reduce manual review burden by only reviewing uncertain extractions"],"best_for":["Organizations with strict accuracy requirements","Companies processing high-value or regulated documents","Enterprises needing quality assurance workflows"],"limitations":["Confidence thresholds must be calibrated per use case","Still requires human review for uncertain cases","May create bottlenecks if too many items flagged for review"],"requires":["Defined accuracy thresholds","Human review workflow","Feedback mechanism for model improvement","Quality metrics and monitoring"],"input_types":["extracted data","confidence scores","validation rules","quality criteria"],"output_types":["validation results","review queues","quality reports","feedback data"],"categories":["productivity","automation","quality-assurance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hyperscience__cap_6","uri":"capability://productivity.batch.document.processing","name":"batch-document-processing","description":"Processes large volumes of documents in batch mode for high-throughput scenarios. Handles thousands of documents efficiently with progress tracking, error handling, and result aggregation.","intents":["I need to process 10,000 invoices overnight without manual intervention","I want to migrate historical documents into structured format","I need to handle periodic bulk document uploads from multiple sources"],"best_for":["Organizations with periodic high-volume document processing","Companies doing data migration projects","Enterprises with batch processing workflows"],"limitations":["Batch processing may take hours or days for very large volumes","Errors in batch may require reprocessing subsets","Requires sufficient system resources and storage"],"requires":["Document collection or upload mechanism","Batch job scheduling","Error handling and retry logic","Result aggregation and reporting"],"input_types":["document collections","batch uploads","document folders","bulk imports"],"output_types":["batch results","processing reports","error logs","aggregated data"],"categories":["productivity","automation","document-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hyperscience__cap_7","uri":"capability://productivity.document.format.normalization","name":"document-format-normalization","description":"Standardizes data extracted from documents with varying formats into consistent, normalized output. Handles format conversions, data type standardization, and field mapping across different document sources.","intents":["I need to normalize invoice data from 5 different suppliers into one format","I want to standardize dates, currencies, and amounts across different document types","I need to map fields from different document formats to our standard schema"],"best_for":["Organizations receiving documents from multiple sources","Companies with diverse document formats","Enterprises needing data consistency"],"limitations":["Requires clear mapping rules between formats","May lose information if target format is less detailed","Complex transformations may need custom logic"],"requires":["Source and target format definitions","Mapping rules and transformation logic","Validation rules for normalized data","Testing and validation datasets"],"input_types":["extracted data","format specifications","mapping rules","transformation logic"],"output_types":["normalized data","standardized records","transformation logs","validation reports"],"categories":["productivity","automation","data-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hyperscience__cap_8","uri":"capability://productivity.performance.monitoring.and.analytics","name":"performance-monitoring-and-analytics","description":"Tracks and reports on automation performance metrics including accuracy rates, processing volumes, cycle times, and cost savings. Provides dashboards and analytics to measure ROI and identify optimization opportunities.","intents":["I need to measure the accuracy and performance of our document automation","I want to track cost savings and ROI from automation initiatives","I need to identify bottlenecks and optimization opportunities in our workflows"],"best_for":["Organizations measuring automation ROI","Companies optimizing workflow performance","Enterprises reporting on process improvements"],"limitations":["Metrics quality depends on proper data collection","ROI calculation may be complex with multiple variables","Requires baseline metrics for comparison"],"requires":["Comprehensive logging and data collection","Defined KPIs and metrics","Historical baseline data","Dashboard and reporting tools"],"input_types":["processing logs","extraction results","workflow execution data","cost data"],"output_types":["performance dashboards","analytics reports","KPI metrics","trend analysis"],"categories":["productivity","automation","analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hyperscience__cap_9","uri":"capability://productivity.exception.handling.and.escalation","name":"exception-handling-and-escalation","description":"Automatically detects processing exceptions, errors, and edge cases, then routes them to appropriate handlers or escalates to human teams. Manages retry logic, fallback procedures, and exception workflows.","intents":["I need to automatically handle extraction failures and route them for manual review","I want to escalate high-value or complex documents to expert reviewers","I need to manage exceptions without stopping the entire workflow"],"best_for":["Organizations processing mission-critical documents","Companies with complex exception handling needs","Enterprises requiring robust error management"],"limitations":["Requires clear definition of exception types","May create manual review bottlenecks if too many exceptions","Exception handling logic must be maintained and updated"],"requires":["Exception type definitions","Escalation rules and routing logic","Human review workflows","Retry and fallback procedures"],"input_types":["processing errors","extraction failures","validation exceptions","business rule violations"],"output_types":["exception notifications","escalation tickets","retry instructions","exception reports"],"categories":["productivity","automation","error-handling"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":47,"verified":false,"data_access_risk":"high","permissions":["Sample documents for model training","Clear definition of fields to extract","Integration with backend systems","Dedicated implementation team","Labeled training dataset of documents","Clear classification taxonomy","Workflow system to receive routing decisions","Feedback mechanism for model improvement","Audit logging infrastructure","Compliance requirement definitions"],"failure_modes":["Requires training on domain-specific documents for optimal accuracy","May struggle with extremely rare or novel document formats","Implementation and customization requires technical resources","Requires sufficient training examples for each document class","May misclassify documents with ambiguous characteristics","Needs periodic retraining as document types evolve","Audit trail storage can be resource-intensive","Compliance requirements vary by industry and jurisdiction","May require custom compliance configurations","Accuracy may vary by language and document type","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.45,"quality":0.88,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:31.445Z","last_scraped_at":"2026-04-05T13:23:42.534Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=hyperscience","compare_url":"https://unfragile.ai/compare?artifact=hyperscience"}},"signature":"g2uYNDmFTSBKtlebgX787RpBIkrKC74YFfUtMw58gHv6BcTWZjxXYUoA8evs4TdbQq0QnyFOj1uHTDR/HsI0Bg==","signedAt":"2026-06-20T14:36:28.600Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/hyperscience","artifact":"https://unfragile.ai/hyperscience","verify":"https://unfragile.ai/api/v1/verify?slug=hyperscience","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}