
Case study on PiXL.AI
Sketches how PiXL.AI helped a renowned bank of South India to overcome its issue. Each time a person opens an account with this bank, he submits a copy of his documents and identity proofs like aadhaar card, pan card, driving license for the documentation process.

Case study on Legal firms
A narration about how our product PiXL OCR Plus resolved problem of a firm dealing in legal support services.Legal documents are needed to dealt with precision.

Case study on SIB
A peep into how our products are capable of providing exceptional services.

Case study on Federal Bank eBank Guarantee Issuance
Federal Bank partnered with Pixl to digitize their bank guarantee issuance process, streamlining the workflow and reducing turnaround time.

Case study on KSFE Power mobile applications
KSFE partnered with pixdynamics to develop a mobile application for digitizing the offline chitty management system.

Automating Dent and Scratch Detection
In a leading automotive manufacturing facility, the quality assurance (QA) team has been responsible for manually inspecting newly manufactured vehicles to identify dents and scratches.

Automating Checksheet Data Processing for Hyundai
In the competitive landscape of automotive manufacturing, precision and speed are critical to maintaining operational excellence. One of the large automotive manufacturers, Hyundai faced significant challenges in processing data from quality assurance checksheets, which played a crucial role in defect tracking and reporting.

Resume Parsing API
Recruitment tech has advanced quickly. This has increased the demand for automation in hiring. HR professionals face a big extracting key details from candidate resumes

US Health Insurance Card Reader API & SDK
In today's digital healthcare world, admin processes must be efficient, accurate, and compliant. There is a growing demand for these qualities. A key challenge in healthcare is collecting and processing patient data, especially health insurance details.

Bulk Invoice Processing System
This project's goal was to streamline bulk invoice processing in phases. The organization struggled to handle a high volume of invoices. This caused bottlenecks, errors, and inefficiencies in their financial operations. Traditional methods of processing invoices involved tedious data entry.