Citizen Developer

Really Intelligent Document Processing

Citizen Developer

With Low code no code as a core principle CMR+ allows business users to efficiently onboard new business or improve the efficiency of ongoing process with ease, without the requirement for dedicated development resources.

Our approach empowers business users to design and customize their own document processing workflows, eliminating the reliance on IT departments or software developers.

Business users will have the ability to quickly build and deploy document processing solutions using a visual, intuitive interface. This not only saves time and resources but also enables faster implementation and iteration of solutions.

Furthermore, CMR+ provides a wide range of pre-built components. These components serve as building blocks that can be easily configured and combined to create sophisticated document processing workflows. You can leverage these resources to automate data extraction, classification, validation, and integration with other systems in your enterprise, all without writing extensive code.

The Specially designed interface enhances collaboration within your organization. Role based access control allows for multiple levels of users that can be customized as per the needs of the organization. Multiple stakeholders, including business users and subject matter experts, can actively participate in the design and optimization of document processing workflows. This collaborative approach fosters agility, innovation, and a deeper understanding of the processes involved.

CMR+ offers a high level of scalability and flexibility. As your document processing needs evolve, you can easily modify and scale your workflows without disrupting existing operations. This adaptability ensures that CMR+ remains future-proof and capable of accommodating changing business requirements.

See It For Yourself

Don’t take our word for it. Nothing beats a demo tailored to your business needs.

CMR+ integrates training as a part of the workflow, allowing the ML models to learn and improve as it processes more and more documents. By incorporating feedback, corrections, and iterative learning, the models continually refine their algorithms and enhance their accuracy. This capability ensures that CMR+ provides increasingly accurate and efficient document processing results over time, aligning closely with your organization’s specific needs and evolving document patterns.
CMR+ offers the capability to incorporate training as part of the workflow, allowing the machine learning (ML) models to continuously learn and improve as they process more and more documents.

The training component of CMR+ enables you to provide feedback and corrections to the ML models based on the results of document processing. This feedback loop helps the models identify and correct any errors or inaccuracies in the extracted data, classifications, or predictions. By incorporating training into the workflow, the ML models can learn from these corrections and adjust their algorithms accordingly, leading to improved accuracy and performance over time.

The process of training the ML models within CMR+ is typically straightforward and user-friendly. When discrepancies or errors are identified and flagged during document processing, citizen developers can provide the correct information or annotations. The platform then leverages this feedback to refine the underlying ML models, updating their knowledge and enhancing their ability to accurately process similar documents in the future.

Additionally, CMR+ employs advanced techniques such as active learning, which optimizes the training process by intelligently selecting specific documents for human review. By focusing training efforts on the most challenging or uncertain cases, the ML models can learn more effectively and efficiently, saving time and resources while improving performance.
Furthermore, the training component can be integrated into an iterative workflow, where the ML models are continuously retrained as new labeled data becomes available. This ongoing learning approach ensures that the models stay up-to-date with evolving document patterns, industry-specific terminology, or changes in document formats. As a result, the performance and accuracy of the models steadily improve with each iteration.

The training-as-part-of-workflow capability in CMR+ offers several advantages. It enables the ML models to adapt and learn from real-world scenarios, allowing for continuous improvement and refinement. This iterative learning process ultimately enhances the accuracy, reliability, and efficiency of the document processing workflows, ensuring that the models align closely with the specific requirements and nuances of your organization.