Accounts Reconciliation
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Loan Ops
Docutwin
Contract intelligence
KYC/KYB
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Investment Statements
Bring purpose-built AI to your data operations that can understand, extract, classify, and reconcile information from your files, just like a human expert. It is designed to handle files of any type, complexity, and language, with up to 99% accuracy.
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An end-to-end platform that converts enterprise documents into structured, validated, and business-ready data, enabling faster and more accurate decision-making at scale.
Collatio removes the need for manual document uploads through a flexible, enterprise-grade ingestion framework. Documents can be brought into the system via secure user interfaces, ready-to-use APIs, or, in custom deployments, through direct integration with databases and servers. This enables automation across email pipelines, portals, shared repositories, and system-driven workflows, while connecting well with existing enterprise systems.
Collatio uses a proprietary neural network-based OCR to scan documents and convert them into structured digital data for downstream processing. It supports structured, semi-structured, and unstructured content across machine-readable PDFs, scanned PDFs, and image formats such as JPG, PNG, and TIFF. The platform also processes standard business file types, including Excel, CSV, Word, PPT, XBRL/XML, JSON, ZIP archives, and emails.
Operational documents often arrive with quality issues that affect extraction accuracy. During preprocessing, Collatio addresses common distortions such as skewed pages, uneven lighting, shadows, smudged text, and rotated scans. Once these issues are handled, the platform normalizes layout and text alignment before extraction, enabling consistent performance across classification, extraction, and validation, even when document quality varies.
Collatio identifies and classifies documents using layout intelligence and semantic understanding rather than fixed templates. This allows the platform to adapt to vendor- and region-specific format variations without manual configuration. It also supports a broad range of document types, including invoices, purchase orders, goods receipt notes, master service agreements, financial statements, identity documents, and specialized business forms. Based on this understanding, Collatio extracts information across text fields, key-value pairs, tables, images, charts, and graphs. The extraction layer also handles handwritten fields, signatures, checkboxes, equations, and currency notations, without ongoing template maintenance.
Collatio applies document-specific ontology to interpret extracted data within its business context. Identical terms are understood based on usage, such as interpreting “PO” as Purchase Order in procurement and invoice documents. This semantic layer preserves relationships across fields, rows, and columns, supports accurate formula interpretation, and maintains meaning across varied layouts. As a result, extracted data reflects business intent and remains consistent across downstream systems.
Collatio assigns contextual metadata to define each document’s role within a business process. It identifies document groupings, or packages, required for workflows such as lending, claims processing, onboarding, and compliance reviews. The platform verifies package completeness in real time and flags missing documents before downstream processing begins. Relevant users or teams receive alerts early, reducing delays caused by incomplete submissions and manual follow-ups.
Traditional document software often breaks tabular content during extraction into disconnected text, losing row-level and column-level relationships. In contrast, Collatio reconstructs tables during extraction by preserving their original structure and line-item context. This capability supports accurate processing of line-item-intensive documents such as invoices, purchase orders, and financial statements, even when documents are complex or inconsistent. Reconstructed tables enable reliable validation, reconciliation, and downstream analytics through structured, business-ready data.
Collatio validates extracted data through AI-driven reconciliation to reduce manual review. The platform checks internal consistency within documents by verifying vendor identities, validating calculations, and applying region-specific tax logic. It also reconciles data across related documents received at different times, such as invoices and purchase orders, while identifying duplicates and inconsistencies. Validation against external reference sources, including sanctions lists, politically exposed persons lists, and institutional blacklists, is also supported.
Collatio routes low-confidence fields or line items to human reviewers while the rest of the document continues through automated processing. Reviewers receive precise guidance on the points of exception with full document context, improving both speed and accuracy. Their feedback is incorporated to continuously enhance model performance. Built-in reporting offers visibility into processing volumes, straight-through rates, exception patterns, and review outcomes, enabling controlled and scalable automation.
See how enterprises gain measurable results with Collatio, the best intelligent document processing software, built for accuracy, performance, and automation.
Data Accuracy
Reduction in Manual Review
Faster Processing Speed
Lower Operational Costs
Automate end-to-end document workflows with intelligent document processing software that delivers high-volume throughput, field-level accuracy, and governance-ready controls.
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Documents enter the intelligent document processing platform through API uploads, UI drag-and-drop, or direct database access. Collatio captures structured, semi-structured, and scanned files along with maintaining quality and readiness for downstream automation.
The system automatically detects document types such as invoices, POs, or statements via deep learning models. It identifies document packages, flags missing files, and prepares each item for accurate extraction within automated document processing workflows.
Collatio performs intra-document and inter-document reconciliation with AI precision. It verifies totals, matches POs with invoices, and cross-checks data across sources to maintain accuracy within the best intelligent document processing software environment.
When anomalies appear, intelligent document automation highlights them for review. The system directs unresolved data points to users with context and supports human-in-the-loop validation and continuous learning through guided corrections.
Collatio, a reliable intelligent document processing platform, synchronizes validated data with ERP, CRM, and BI systems. It compiles all the reports, exports structured outputs, and strengthens decision-making through high-end embedded algorithms and analytics.
Collatio delivers AI-driven automation for industries that require precision, speed, and accuracy across complex document and data workflows, including:
Collatio is built to meet international data security, privacy, and governance requirements, helping enterprises protect sensitive information while operating at scale.
Adheres to ISO 27001 and SOC 2 Type II standards with controlled infrastructure and encrypted data management processes.
Aligned with GDPR, HIPAA, and CCPA frameworks to maintain confidentiality and lawful data processing in every environment.
Implements access control, audit trails, and role-based permissions to maintain accountability and operational transparency.
Our intelligent document processing platform integrates with ERP, CRM, and database systems that enable smooth data synchronization and unified operational efficiency.
AI-powered document processing that transforms enterprise documents into actionable, business-ready data at scale.
Discover how SCRY AI solutions bring accuracy and innovation in document processing, conversational AI, and IoT operations.
Find answers to common queries about intelligent document processing, automation, and how Collatio enhances enterprise workflows with accuracy and performance.
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