Intelligent Document
Processing for Trusted,
Mission-Ready Data

Unlock and Automate Your Data with ATA

ATA helps federal organizations convert high-volume forms, PDFs, images, and spreadsheets into validated and auditable data using AI/ML-enabled extraction and interpretation, configurable validation, human review, and cloud-native workflow automation.

ATA’s Intelligent Document Processing solution transforms document-heavy workflows into trusted, automated data pipelines for organizations burdened by high-volume intake, labor-intensive manual transcription, and data locked inside paper, PDFs, spreadsheets, and semi-structured records.

The solution ingests varied digital forms; classifies and routes them through configurable workflows; extracts and enriches data using OCR, NLP, field mapping, and business rules; and validates results before publishing approved data to downstream systems.

Unlike basic OCR tools that only extract text, ATA’s approach is workflow-native and mission-aware, addressing the operational challenges that arise when accuracy, auditability, surge processing, and downstream usability all matter. The system preserves source documents and processing history, applies customer-specific validation logic, routes low-confidence results and business-rule exceptions to human reviewers, captures corrections for continuous improvement, and produces auditable data that can support reporting, analytics, case management, compliance, and operational decision-making.

Types of Forms and Data Supported:

  • Scanned paper forms and image files
  • Digitally native PDFs and form-based PDFs
  • Multi-page documents and document packets
  • Spreadsheets and tabular source files
  • Structured, semi-structured, and unstructured documents
  • Printed text, mixed fonts, and common handwriting
  • Natural language narratives, comments, notes, and free-text fields
  • Defined tables, rows, columns, and repeated data sections
  • Checkboxes, radio buttons, selections, and marked fields
  • Dates, numeric values, short and long text fields, and Booleans
  • Domain-specific terminology, concepts, and shorthand

Integrated Intelligence

  • Extraction intelligence:
    Uses OCR and layout-aware processing to extract printed text, handwriting, checkboxes, radio buttons, tables, metadata, and field geometry.
  • Mapping intelligence:
    Aligns extracted values to target schemas using coordinate mapping, regex and line-based parsing, ML-assisted classification, text similarity, layout features, and form-specific business rules.
  • Cloud-scaling intelligence:
    Uses AWS commercial or AWS GovCloud deployment patterns, managed services, event-driven processing, serverless functions, queues, and workflow orchestration to scale with workload demand rather than relying on always-on infrastructure.
  • Semantic intelligence:
    Applies NLP, entity detection, concept mapping, ontology matching, synonym normalization, attribute extraction, and domain terminology mapping when appropriate.
  • Validation intelligence:
    Enforces configurable business rules, including required fields, data types, ranges, comparisons, summations, conditional logic, regular expressions, and multi-field consistency checks.
  • Workflow intelligence:
    Uses validation outcomes, exception paths, reviewer decisions, and workflow state to determine whether records proceed automatically, retry, pause, or complete processing.