Digitap

Digitap

AI and ML solutions for customer onboarding, risk management and analytics

Case study · System integration

Faster, more reliable access to vehicle registration data

AI and ML solutions for customer onboarding, risk management and analytics

Lower

latency under load

Stable

Vahan retrieval

The challenge

What Digitap needed to solve

Retrieving Vahan data from the Parivahan portal was creating operational bottlenecks. High request volumes and latency during retrieval were slowing down downstream processes that depended on stable access to vehicle registration information.

Deployment snapshot

Sector

AI and ML solutions for customer onboarding, risk management and analytics

Type
System integration
Components

API integration · data retrieval optimisation

What ran

The deployment

Rubic partnered with Digitap to redesign the data retrieval workflow and optimise the API interactions, restructuring how requests were handled to support volume without degrading response times.

Stack that ran

API integration
01
data retrieval optimisation
02
Where it landed

The outcome

Lower response latency, faster data processing, and reliability that holds under high-volume request loads.

Run a comparable working session

Bring us the workflow. We will map the evidence, baseline and system write-back before the first live run.