In recent years, the market has seen a veritable boom in artificial intelligence. Our company strives to keep up with the latest trends and has launched a no-code solution, AI Data Extractor, for the primary processing of data from various sources: website links, office files of various formats (pdf, docx, xlsx, etc.), images (png, jpg, etc.), audio files. The software's output is the clean (normalized) data, which can be used as a source data for dashboard, for loading into CRM or ERP systems, for analysis in BI systems, and for over 600 other software product integrations.

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AI Data Extractor optimizes a wide variety of routine tasks, such as:

• Office Work: processing and classifying contracts, invoices, and other documents

• Marketing: collecting product and pricing data, competitive analysis

• Procurement: evaluating technical and commercial proposals

• Finance: drawing up the Group consolidated reporting

• Insurance: compiling insurance claim documents

• Data Enrichment: searching and adding information from public sources

• Fact Checking: data verification

 

The user-friendly interface allows users to formulate tasks in spoken language, rather than in a programming one. The built-in OCR engine achieves over 98% success rate in detecting text in images, including handwritten text. As a result, initial data processing time will be reduced by 1-2 orders of magnitude.

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Access to neural networks can be achieved either through a cloud service on the internet or through the company's local network (on-premis).

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Payment is based on the subscription model (SaaS).

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Since our company's core business is automating accounting under international standards, one of the primary applications of AI Data Extractor is various aspects of financial reporting preparation and analysis:

• Adapting the corporate IFRS chart of accounts to the hierarchical data structure of the 1C chart of accounts

• Configuring mapping between RAS and IFRS charts of accounts

• Collecting data from Group companies across complex consolidation boundaries, which is especially relevant for banking groups operating under both the financial industry standards and common Russian accounting ones

• Generating consolidated Group financial statements

• Competitive analysis of public annual IFRS financial statements in pdf format

• And many other related tasks

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When working with figures, AI Data Extractor doesn't hallucinate!