Effortless Transformation of Documents into Assets

We help organisations digitise and automate paper-based workflows with seamless innovation and navigate the pitfalls of cumbersome, expensive and risk-laden migrations with modern technology and methodology.

Differentiated Document Processing

Intelligent Document Processing comprehends and extracts valuable information contained within various documents using Artificial Intelligence, Natural Language Processing, and Machine Learning. This approach optimises the task of processing unstructured data and propels businesses from manual to automated workflows. Document automation empowers institutions to harness the power of modern technologies for data-driven decision-making.

Ainigma is a cutting-edge document processing solution that uses 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 flexibility ensures easy integration with specific client needs, facilitating the addition of new templates and efficient retraining of models to meet evolving requirements.

Challenges we address

The diversity and complexity of financial documents, ranging from contracts to regulatory reports, can hinder intelligent document processing. Each document type requires tailored processing techniques, making standardisation difficult.

Traditional document-processing solutions can falter in handling the diverse variety of content found in documents in the processes of Know Your Customer (KYC), Anti-Money Laundering (AML), Credit Risk Assessment, and financial analysis.

Ensuring compliance with rigorous regulatory frameworks in the financial industry requires the implementation of stringent security measures throughout the automation process. Concerns regarding data accuracy and integrity necessitate sophisticated validation mechanisms.

Ainigma’s advanced technology addresses these complexities with a robust solution that is designed for efficient financial services document migration and processing. It empowers organisations to handle a diverse set of documents with multi-format document support and intelligent data extraction. Ainigma features NLU capabilities and workflow automation, accelerating the time-to-value.









Ainigma in Action


Our Intuitive Document Processing Framework

Ainigma is a modern document processing solution that blends the latest technologies to simplify workflows and improve accuracy. Our methodology is structured and tailored for the distinct tasks involved in extracting and leveraging information present in documents, enhanced by our proprietary AI model. This model has an end-to-end transformer architecture, distinguishing our approach in handling complex document processing challenges with unmatched efficiency and precision.

Initial Detection and Verification

YOLO for rapid object detection, crucial for ID verification.

Content Extraction and Interpretation

DOCVQA processes the textual content within the identified structures.

Detailed Component Analysis

DETR identifies and categorises complex elements like tables and graphs.

Continuous Learning and Adaptation

The system evolves, learning from new data to enhance accuracy and adaptability.

In-Depth Structure Analysis

Siamese Networks compare and verify faces and signatures, fortifying the ID verification process.

Our Solutions

Doc Classification

Document Classification is a key feature of Ainigma which 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.

documents classification

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.

documents classification

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.
documents classification

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.

documents classification

Feature Showcase   

Ainigma is designed with the config-over-code principle for standardised workflows. Our platform automates proof points, eliminating manual efforts of document migration. It leverages a distributed microservices architecture that allows seamless horizontal scaling. Real-time dashboards offer detailed record-level status, ensuring transparency, while comprehensive auditing assures accountability for every document migration cycle.

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.