

Products &
Projects
Our product development strategy encompasses intelligent automation and integration systems that can quickly deploy for critical, low-error-tolerance, and labor-intensive processes in the daily operations of businesses. These systems are particularly useful for activities such as reading and processing documents like invoices and integrating them into ERP systems. Our product features an artificial intelligence-supported infrastructure adaptable to processes like Customer Service, Finance, Logistic & Transportation, and Supply Chain.

Account Payable Automation
Redesign Your Account Payments with Account Payable Automation
In the business world, speed and accuracy take the forefront. Account Payable Automation reshapes businesses' account payment processes from the ground up by combining these two crucial factors.
Equipped with the latest technologies, this automation product increases efficiency and minimizes errors by eliminating manual interventions in account payment processes.
How Does It Work?
Account Payable Automation starts from the digital receipt of invoices and automates the entire process, including recording, approval, and payment stages. This allows staff to focus on more strategic tasks, eliminating time loss and errors.
Advantages:
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Fast and Accurate Processes: Automatic processing of invoices enables fast and error-free payments.
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Cost Savings: Reduction in time and resources spent on manual processes results in cost savings for the business.
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Real-time Monitoring and Reporting: Monitor each stage of the processes in real-time and generate detailed reports.
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Compliance and Security: Financial transactions are securely executed, ensuring compliance with all regulations.
Manage your account payments more effectively, quickly, and reliably with Account Payable Automation. Expand your business, enhance your staff's potential, and establish a financially future-ready process management.
Intelligent Document Processing (IDP)
Empowering businesses with efficiency and precision, our IDP technology transforms traditional document handling into a streamlined and intelligent process. Seamlessly integrating Artificial Intelligence and Robotic Process Automation, our IDP solution automates data extraction, classification, and validation from various documents.
Key Features:
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Effortless Automation: Say goodbye to manual document processing. Our IDP effortlessly automates mundane tasks, saving valuable time and resources.
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Accurate Data Extraction: Harness the power of advanced AI algorithms to extract accurate and relevant data from diverse document types, reducing errors and enhancing data quality.
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Adaptive Learning: Our IDP system evolves with your business. Through machine learning, it continuously adapts to new document formats and content, ensuring sustained accuracy over time.
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Streamlined Workflows: Experience smoother workflows with automated document routing and approval processes. Enhance collaboration and decision-making with real-time access to processed information.
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Scalability: Whether you are a small business or an enterprise, our IDP solution scales to meet your evolving document processing needs. Handle growing document volumes effortlessly.
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Integration Capabilities: Seamlessly integrate our IDP into your existing systems, including ERP and CRM platforms, for a cohesive and unified business ecosystem.
Robotic Process Automation (RPA):
Robotic Process Automation (RPA) is a transformative technology that leverages software robots, or "bots," to automate repetitive and rule-based tasks within business processes. These bots are designed to mimic human interactions with digital systems, allowing them to perform tasks such as data entry, data extraction, form filling, and other routine activities. RPA aims to enhance operational efficiency, reduce errors, and free up human resources to focus on more strategic and value-added activities.
Defining Robotic:
The term "robotic" in the context of Robotic Process Automation does not refer to physical robots but instead to software entities or bots. These digital robots operate in a virtual environment, interacting with software applications, databases, and systems just like a human user. They follow predefined rules and workflows, executing tasks with precision and speed. The "robotic" element emphasizes the automation and efficiency brought to business processes, drawing parallels to the predictability and consistency associated with robotic actions. RPA is a key enabler in the digital transformation journey, empowering organizations to optimize processes and enhance overall productivity.
Optical Character Recognition (OCR)
OCR, or Optical Character Recognition, is a technology designed to convert different types of documents, such as scanned paper documents, PDFs, or images captured by a digital camera, into editable and searchable data. The primary goal of OCR is to recognize and extract text content from these sources, making it accessible and usable in digital formats.
Key Features of OCR
1. Text Recognition: OCR algorithms identify and recognize text characters within an image or document, converting them into machine-readable and editable text.
2. Document Conversion: OCR facilitates the conversion of physical documents, including books, invoices, and receipts, into electronic formats, enabling easy storage, retrieval, and manipulation.
3. Data Extraction: OCR extracts relevant information from documents, such as names, numbers, and dates, making it possible to use this data in various applications and databases.
4. Searchability: By converting scanned documents into searchable text, OCR enhances document retrieval, making it easier to locate specific information within large datasets.
5. Automation: OCR is often integrated into automated workflows and document management systems, streamlining processes that involve handling and extracting information from a large volume of documents.
6. Accuracy Improvement: Advanced OCR technologies continuously improve accuracy through machine learning and training algorithms, ensuring better recognition of diverse fonts, languages, and document layouts.
Applications of OCR:
1. Document Digitization: OCR plays a crucial role in converting physical documents into digital formats, contributing to the digitization of archives and libraries.
2. Data Entry Automation: Businesses use OCR to automate data entry tasks, reducing manual effort and minimizing errors associated with manual data input.
3. Invoice Processing: OCR is widely employed in automating invoice processing, extracting key information such as amounts, dates, and vendor details from scanned invoices.
4. Text-to-Speech Accessibility: OCR assists in making printed or handwritten text accessible to visually impaired individuals by converting it into audio through text-to-speech technology.
5. Identity Verification: OCR is utilized in identity verification processes, extracting information from identity documents like passports and driver's licenses for authentication purposes.
OCR technology continues to evolve, offering increasingly accurate and versatile solutions that contribute to the efficiency and automation of various industries and applications.