Differentiated Document Processing
Intelligent Document Processing is the key to comprehending and extracting valuable information contained within various documents of a business environment by incorporating Artificial Intelligence, Natural Language Processing, and Machine Learning. This advanced approach eliminates the laborious task of processing unstructured data and propels businesses from manual to automated workflows. It fosters innovation and harnesses the power of emerging technologies for informed decision-making.
Ainigma’s document processing and verification stands out with its application of a transformer-based model instead of an OCR engine. Leveraging this advanced architecture ensures a superior understanding of data context and relationships, which is particularly beneficial in Large Language Models (LLM) for sophisticated text analysis.
Ainigma is proficient in processing a diverse range of financial documents. Its adaptability allows seamless integration of unique client requirements, enabling the incorporation of new templates and efficient model retraining
Challenges we address
Given that 80% of global data is unstructured, extracting the full value of data from documents through migration and processing poses a formidable challenge for financial institutions. Traditional document-processing software, even with AI integration, falters in handling the diverse content found in documents in domains like Know Your Customer (KYC), Anti Money Laundering (AML), Credit Risk Assessment, and Financial Analysis.
The limitations extend to natural language approaches, as statistical models struggle with the lack of high-frequency patterns for accurate analysis. Despite the transformative potential of intelligent document processing in streamlining and automating document-centric operations, overcoming these challenges is imperative. Ainigma’s advanced technology strives to address these complexities, offering a robust solution for efficient financial services document migration and processing.
Accuracy
Structure
Security
Scalability
Ainigma in Action
Our Unparalleled Document Processing Framework
Ainigma, our state-of-the-art solution stands at the forefront of modern document processing and verification by seamlessly integrating cutting-edge technologies to streamline workflows and enhance accuracy. Ainigma’s approach encompasses a series of meticulously crafted stages, each employing advanced models for specific tasks, all underlined by the distinctive power of our proprietary AI-model built that uses an end-to-end transformer architecture.
YOLO for rapid object detection, crucial for ID verification.
DOCVQA processes the textual content within the identified structures.
DETR identifies and categorises complex elements like tables and graphs.
The system evolves, learning from new data to enhance accuracy and adaptability.
Siamese Networks compare and verify faces and signatures, fortifying the ID verification process.
Our Solutions
Doc Classification
Document Classification is a critical feature in DocAI that automatically identifies the type or category of a document when it is ingested into the system. It plays a pivotal role in directing the subsequent data extraction processes.
Use Cases
Document Classification is instrumental in scenarios where documents have different layouts, structures, and data extraction requirements. In the context of a financial institution, it can classify documents into categories like customer identification documents, financial statements, and transaction records.
Signature and Photo - Extraction and Verification
This feature focuses on locating and extracting signatures and photos from documents. Additionally, it may involve signature/photo matching with alternate source.
Use Cases
This aspect is crucial for Know Your Customer (KYC) and Anti-Money Laundering (AML) processes. It helps in accelerating onboarding/CDD for verifying customer identities and extracting customer information.
Metadata and Custom Attribute Extraction
Metadata and Custom Attribute Extraction is indispensable in banking and finance. Metadata could include generic named entities like dates, document title, country, addresses, names etc. providing valuable information beyond what is immediately visible in the content.
Use Cases
Custom Attribute Extraction is essential for tasks like:
- Identifying transaction details, transaction types and account information in bank statements.
- Extracting data from financial tables like P&L, cashflow, balance sheet etc.
- Capturing essential information from customer ID documents.
Handwritten Text Extraction
This capability to extract and transcribe handwritten text from documents is particularly valuable when documents contain a mix of printed and handwritten information.
Use Cases
Handwritten Text Extraction is essential in financial institutions for processing handwritten notes or comments on application forms, handwritten signatures on contracts, or any documents where handwritten information is relevant for analysis and compliance.
Feature Showcase
Ainigma facilitates a smooth transition of data into new systems and also carefully considers the migration's objectives, and helps achieve business outcomes with finesse. Our advanced data migration solution empowers businesses to modernise applications by leveraging our expertise to accelerate digital transformation journey. By harnessing the power of Artificial Intelligence and Machine Learning, we deliver faster, accurate, and cost-effective migrations.
Intelligent Data Extraction
Our solution harnesses the power of artificial intelligence and machine learning algorithms to intelligently extract relevant data points from a diverse range of documents. By analysing patterns and structures within the documents, our system accurately identifies and captures essential information without relying on traditional OCR-based approaches.
Natural Language Understanding (NLU) Capabilities
The NLU capabilities integrated into our product enables it to comprehend the context and meaning of textual content within documents. This empowers our solution to perform intelligent categorisation, sentiment analysis, and extract valuable insights from unstructured data, facilitating data-driven decision-making.
Multi-Format Document Support
Our product is designed to handle various document formats, including invoices, receipts, contracts, forms, and more. Its versatility ensures seamless integration into existing workflows, regardless of the document type or industry.
Workflow Automation
By incorporating our document extraction and digitisation solution, organisations can experience the efficiency of streamlined data entry and automated processes. This eliminates repetitive tasks, expedites operations, and allows teams to focus on strategic initiatives and higher-value activities.
Data Security and Compliance
Ensuring data security and compliance is paramount. Our solution incorporates robust security measures to safeguard sensitive information during the extraction and digitisation process, maintaining compliance with relevant regulations and standards.
Scalable Cloud-Based Architecture
Built on a scalable cloud-based infrastructure, our solution offers seamless deployment and is capable of handling increasing data volumes and evolving business needs. Cloud-based access promotes collaboration and enables work from any location.
