Our Success Stories
Discover how we've helped teams leverage AI to transform their delivery speed, data foundations, and engineering capability.
Self-Serve Audience Segmentation at Production Scale
A global data intelligence company had 300M+ consumer records with no self-serve access layer. Every audience segment was hand-built by data science. Count queries took minutes, with no enforced PII boundary between analytical and serving workloads.
Identity-as-a-Service: Unifying a Fragmented Data Ecosystem
A marketing technology company had a powerful multi-partite identity graph — offline persons, digital devices, household clusters — but no unified service layer. Every team wrote direct queries against internal graph tables. Third-party data onboarding was manual per source. No shared auth, rate limiting, billing, or developer portal.
From Lost Calls to Real-Time Voice Intelligence
A healthcare contact centre was manually QA-ing fewer than 3% of calls. Churn risk, compliance gaps, and coaching opportunities were invisible in the remaining 97%. Agents had no real-time guidance, and post-call analysis arrived too late to influence outcomes.
End-to-End Hiring, Bias Removed, Cost Slashed
A growing enterprise was spending weeks per hire — manually screening hundreds of CVs, scheduling interviews across time zones, and running inconsistent first-round assessments. Quality of hire was variable, time-to-hire was unpredictable, and recruiter bandwidth was consumed by process, not judgment.