- Identify business use cases
- Interpret as technical & product problem statements
- Craft solutions
enables intelligent data extraction and enrichment.
able to handle data variance effectively, even at scale.
allows for easy configuration of workflows with minimal to no coding required.
platform that can handle domain-specific processes using the workflow builder.
Computer Vision driven text & image extraction, along with matching & reconciliation, for any structured, semi-structured & unstructured input type
Blox understands layouts and features of any document using a combination of CV and NLP models - which lends to better coverage and accuracy
Get in touch with one of our experts to learn more about how Blox can solve your problems
Leverage Blox’s Intelligent Document Processing to automate document processing across businesses
Extract and reconcile line items from an invoice for a 2-way match against a PO (Purchase Order) or a 3-way match against a PO and a GRN (Goods Received Note) to process payment or line up for review, if needed.
Enable faster claims processing by extracting and matching relevant details from claims forms, such as applicant, details of the claim, policy information and qualify against standard business guidelines.
Extract information from healthcare records, vaccine certificates etc. to build a real-time user profile, and to qualify and match healthcare professionals for specific roles and optimize staffing workflows.
Enable efficient loans processing and disbursement by automating the extraction of relevant information from loan applications, qualifying the applicant against predefined guidelines through multi-way matching and reconciliation.
Process online resumes and profiles with semi-structured /unstructured information, through intelligent data extraction. Increase efficiency in screening and qualification by recruiters, by automating the reconciliation of information against job requirements.
Process document-heavy workflows in logistics, like goods received and proof of delivery, which have unstructured / handwritten text, and documents in non-standard formats. Extract relevant information across documents, feed into consignee’s ERP systems, and enable accurate and faster processing.
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The results of Intelligent Document Processing with Blox
Reduction in cost through intelligent document processing
through process automation
Reduced time in
data organization processes
Accuracy in extraction, enabling faster document processing
Type of Business: US-based Leading Healthcare Staffing Provider
Goal: To optimize TAT & Save Cost, through KYC document automation, across the User Onboarding Workflow
Type of Business: Data solution and intelligence provider
Goal: Increase productivity, reduce manual effort, standardize and validate scrapped output data
Con ConlonMD and CEO, Merit Group
Blox helped us distill huge volumes of data from different sources and make it usable. The work we did with Blox on retail enabled buyers to make really smart decisions about what garments to put on their shelf.
Abhay SabooCo-founder & CEO, CoLearn
We’ve been working with the Blox.ai team for almost a year now. Our vision was to use AI to transform the way students engage with educational content. We began by working with Blox.ai to help students find answers to specific questions but over time, that use case has evolved now creating more immersive, student-led, learning experiences.
Julian ArtopéFounder & CEO, Zenyum
One thing we kept investing in at all points in time was the product team. It was so strategic for us to keep building and expanding the solution of the product. The first thing is the Automated Smile Assessment – something that Blox.ai helps us a lot with. It really gave us an advantage in the end. We're seeing some super exciting stuff.
Sauvik BanerjjeeFounding CTO, Tata Digital & Tata Neu
Tata and MSD have a thought-process marriage. We will learn from the data and patterns they’ve observed through a broad lens from their diverse clientele and they will learn about the consumer behavior patterns that we have observed.