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Signature Matching Using OCR

Accelerate the Decision Making and Approval Process 

Validating documents is an arduous, time-consuming task that can slow down the approvals process. By applying machine intelligence to recognizing handwritten signatures, Skymind helps operations teams eliminate manual document checking.

In most organizations, work needs to be formally approved before it can begin. Budgets, projects, marketing initiatives, invoices, and other work items all move through a series of approvals before they are considered either ready for kickoff or complete.

Unfortunately, there is often a delay due to the need for people to ensure that all documents are in order. Computers can automate most processes, such as checking for data accuracy, but very often the last mile is impossible to automate (e.g. checking handwritten signatures). With Skymind, it is now possible to automate those tasks. 

Key Deliverables:

  • Skymind productionizes machine learning by providing a platform-agnostic deployment software.
  • Built on top of open-source tools, you have full control over the entire stack from the API to the database integrations.
  • Deployable on-prem, in the cloud, or in a hybrid environment.
  • Existing machine learning models can be ported via Protobuf from TensorFlow, H5 from Keras, and in the future, ONNX and PMML.
  • Built-in connectors to the big data ecosystem.
  • Skymind offers development support and training to ensure that SKIL works optimally.