Real AI systems built for real problems — across regulated industries, complex integrations, and production-scale requirements.
Challenge
A high-volume payments company needed to reduce fraudulent transactions without increasing false positive rates that were damaging customer experience.
Outcome
43% reduction in fraud losses, false positive rate improved by 28%, sub-80ms p99 scoring latency
Challenge
Care teams were spending significant time searching clinical guidelines and protocols. The organization wanted AI-powered answers at the point of care.
Outcome
RAG system deployed across 8 facilities, 92% answer accuracy on clinical eval set, integrated with Epic EHR
Challenge
A retail platform with 2M+ SKUs had poor search relevance and no personalization, resulting in high bounce rates from product pages.
Outcome
+23% conversion rate, +18% average order value, personalization active across search, PDP, and email
Challenge
Unplanned equipment downtime was costing the facility 14% of planned production capacity. Reactive maintenance was not scalable.
Outcome
34% reduction in unplanned downtime, ROI positive within 7 months, integrated with existing SCADA infrastructure
Challenge
Traditional credit bureau data covered only 30% of the target market. The lender needed a model that could assess creditworthiness from alternative data.
Outcome
Model covers 85% of target population, NPL rate 18% below industry benchmark, explainability layer for regulatory reporting
Challenge
Manual coding and prior authorization processes were creating 12-16 day billing cycles and significant denied claim rates.
Outcome
Billing cycle reduced to 4 days, denial rate reduced by 31%, $2.1M annual cost reduction from automation
Client details are kept confidential. Results are verified and accurately attributed.
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