Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Artificial intelligence, professionally covered
Process automation
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by nunu.ai (vendor self-report). Checked against the source page on 2026-09-05. 6 of 6 figures below appear on that page word for word.
Manual game testing was slow, costly, and limited in coverage, hindering development speed for their game Stormforge.
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
“30% reduction in QA costs”
Quoted word for word from the source
“5x faster testing cycle”
Quoted word for word from the source
“reclaiming 160 QA hours monthly”
Quoted word for word from the source
“400+ monthly tests”
Quoted word for word from the source
“integration required minimal dev time (<5 hours)”
Quoted word for word from the source
“5x faster testing turnaround, with results ready within 1-2 hours of each new build instead of waiting days.”
Quoted word for word from the source
“Fully automated QA processes, eliminating manual testing overhead.”
Quoted word for word from the source
“Increased testing coverage, with over 400 monthly tests (including performance tests), ensuring core systems work reliably.”
Quoted word for word from the source
“I was skeptical at first when they claimed it only needed a few hours from our side to integrate. Third party providers always say that 'integration is easy' and then you run into issues, but in nunu's case with their support they really delivered on their promise.”
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Independently reportedManufacturing · Process automation · Classical ML · Scaled
under 10 minutes — Time for root cause analysis
Independently reportedManufacturing · Process automation · AI agents · In production
88% — autonomous IT resolution rate
Independently reportedTechnology & software · Process automation · NLP · Scaled
10% more — shopper spend
Independently reportedRetail & e-commerce · Process automation · Computer vision · Scaled · 2024
increased by 15% — accuracy
Independently reportedInsurance · Process automation · Classical ML · Scaled · 2019