- Identify business use cases
- Interpret as technical & product problem statements
- Craft solutions
Reduction in cost through intelligent document processing
through process automation
Reduced time in
data organization processes
Accuracy in extraction, enabling faster document processing
Use OCR, NLP and text models to extract, organize and reconcile data, in any format, from any document type
Business data is usually present in different formats, across sources. A lot of business data is unstructured and semi-structured. IDP (Intelligent Document Processing) leverages AI, along with programmable automation (such as repetitive tasks), to convert data into usable, structured formats, and for consumption by downstream systems.
Using Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR) and machine learning tools, Blox.ai identifies, labels and extracts relevant data from any type of document. The AI then maps this extracted information into a structured format while configuring a model which can be applied to all similar document types. The Blox.ai stack is set up to reconcile the data based on business requirements and to push the output to downstream systems automatically.
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.
Sign up with us to see IDP in action, and to solve your business use cases.
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.