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finbase AI extracts data from financial agreements with human-like accuracy.

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Artificial intelligence capabilities can deliver significant efficiencies in labour-intensive tasks.

Testimonial picture
A large language model with 70 billion parameters is made available on our Finbase server network. The results are impressive; our AI does an excellent job of accurately reading and classifying financial data and contracts. The software has been trimmed to include “intangible assets” and “dividends payable” as “current liabilities” over the past three years. “Payslips”, “rental agreements” and “purchase agreements” through to “handwritten notes” are recognized and analyzed.

Dean Prok

Chief Information Security Officer

Financial service sector

Processing financial statements is a time-consuming and cumbersome task - enter finbase AI.

Financial statements such as balance sheets, cash flow and income statements can be complex to interpret and capture relevant data from, even for human analysts. Automating this process requires an acute understanding of financial terminology and the ability to read complex financial tables. Therefore, full automation can be difficult to achieve, given the nuances in the presentation of data across different documents.

Our solution extracts data from financial documents with ultra-high accuracy. Training the model is a quick and easy process that ensures that our technology can effortlessly extract specific data from complex financial documents. Finbase AI's technology is designed to extract data from financial documents with ultra-high accuracy. Our software is trained to interpret the visual cues on the page, much like a human would, making it possible to recognise fields with different names (e.g., 'tangible assets' might appear as 'machinery,' 'plant,' 'property,' 'inventory,' or other variations) and extract and normalise the information quickly. The result is highly intelligent software that’s both easy and satisfying to use.

Server Rack

Agency

We provide specific functionality to handle units and currency for each extracted monetary value, along with sophisticated da te handling. Complex multipage tables are also properly parsed and extracted. Documents are automatically classified according to type.

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Image description

Professional agency

Financial statements such as balance sheets, cash flow and income statements can be complex to interpret and capture relevant data from, even for human analysts. Automating this process requires an acute understanding of financial terminology and the ability to read complex financial tables. Therefore, full automation can be difficult to achieve, given the nuances in the presentation of data across different documents.

More details

Server Rack

Enterprise

We provide specific functionality to handle units and currency for each extracted monetary value, along with sophisticated da te handling. Complex multipage tables are also properly parsed and extracted. Documents are automatically classified according to type.

More details

How it works

Specialization

We provide specific functionality to handle units and currency for each extracted monetary value, along with sophisticated date handling. Complex multipage tables are also properly parsed and extracted. Documents are automatically classified according to type.

Join us

  1. docID

    Self-learning AI recognizes patterns in data and becomes more intelligent as it sees more data. Corrections from a human in the QA process improve the model immediately to prevent the same error and improve prediction accuracy. System can make predictions on new types of documents without requiring any training examples.

    Finbase AI makes it quicker to process invoices for accounts payable, cutting costs and reducing errors simultaneously. Our proprietary AI algorithms can automatically identify the key data points from each document for fast and accurate data extraction. Oh, and Finbase AI can extract from purchase orders and delivery notices, too.

  2. carID

    Finbase AI offers a simple solution to invoice processing. All data is captured cleanly and accurately - even from foreign language documents. Data extracted by our AI is guaranteed to be at least 99.9% accurate (this includes line-items), with any errors corrected and validated by our human-in-the-loop (HITL) service. Our customers typically save 75% of costs compared to manual processing. We provide more reliable data for lower costs. Integration is offered for existing ERP and accountancy systems. Our technology also supports RPA platforms such as UiPath, Automation Anywhere and Blue Prism, allowing complex workflows including automated extraction of invoices from emails.

  3. picID

    We offer a best-in-class data automation solution for commercial lenders, including data extraction from bank statements, financial statements, and invoices. Discover how Finbase AI’s cutting-edge technology can streamline your company’s finance operations.

Integration

Data needs to be accessible to the right systems to create value. Our Finbase AI software solution runs exclusively on our hardware in the customer's on-site data center to first ensure the required performance. Secondly, this measure ensures the integrity of the data because you do not leave the store. A 70 billion parameter large language model is made available in this server network.

Many companies are concerned about implementing AI technology - but we offer several accessible options for integration. For example, flexible integration via our REST API makes it easy to upload documents and send the output to downstream systems. Alternatively, you can integrate by file transfer using SFTP.

Don't settle for less than completely accurate data

Finbase AI understands accurate data is of the utmost importance: our software supports fully configurable QA workflows. That includes multiple teams, spot or comprehensive checking, customising confidence thresholds, double-checking mandatory fields, and even requiring double-user sign-off prior to data extraction. A series of automated checks and balances also identifies anomalies in the data. For example, ‘time series analysis’ is used to detect greater variation than would normally be expected and flag potential errors.


Learn more about AI in Finance!

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