Work
What actually happened
Named where we have permission, anonymised where we do not. The numbers are the ones the client reports, not our projections — and each one includes what we would do differently.
D2C retail brand
Surviving a sale day at 9x normal traffic
After a checkout outage during the previous festive sale, a growing D2C brand needed infrastructure that would hold at nine times normal traffic — and a support team that would not drown in order-status tickets.
- 99.99%
- Checkout availability through the sale
- 9.2x
- Peak traffic versus baseline
- 65%
- Support tickets auto-resolved
B2B SaaS platform
Shipping a stalled AI feature in nine weeks
A Series-B SaaS company had an AI summarisation feature that demoed well for seven months but could not ship — nobody could state its accuracy, its cost per user, or what happened when the model provider had an outage.
- 9 weeks
- Prototype to general availability
- 47%
- Inference cost reduction
- 0
- Provider outages visible to customers
Bengaluru-based NBFC
Cutting loan onboarding from 6 days to under 8 hours
A mid-sized lender was losing qualified applicants during a six-day KYC and document verification cycle, with three analysts re-keying data from PDFs into the loan origination system.
- 6 days → 8 hrs
- Median onboarding time
- 91%
- Applications processed without manual entry
- 2.4x
- Applications handled per analyst
Several of our engagements are under NDA and cannot be published in any form. If you want a reference in your sector, ask — we can usually arrange a direct conversation with a client even where we cannot write about the work.
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