Finance
Real-Time Fraud Scoring
Streaming transaction scoring with reason codes that analysts can read, for a digital lender.
- p99 latency
- <80ms
- Fewer false positives
- 31%
- Stack
- KafkaXGBoostPythonRedis
The challenge
Rule-based checks were blocking good customers while missing new fraud patterns.
Our approach
- 01Engineered behavioural features from event streams
- 02Trained gradient-boosted models with explainability output
- 03Shadow-deployed for four weeks before switching traffic
More work
Healthcare
62%
Calls deflected
3 min
Avg. booking time
Clinic Intake Assistant
A privacy-first assistant that handles appointment requests, symptom pre-screening, and FAQs for a multi-site clinic group.
Read the case studyEnterprise
11k
Tasks / month
4.2x
Throughput
Back-Office Agent Suite
Supervised agents that process invoices, onboarding packets and access requests with a reviewable trail for every step.
Read the case studyRetail
+18%
Average order value
+9%
Conversion
Shopper Recommendations
Session-aware product recommendations for a fashion marketplace with a fast-changing catalogue.
Read the case studyStart here
Tell us what you want to change.
Bring the problem, the number it should move and your deadline. We will come back with a plan within a week.