Case Studies
AI that creates
measurable impact.
Real clients. Real problems. Real results. Explore how Arc Cogito has generated $2.4B in value across industries and countries.
Meridian Retail Group
The Challenge
Manual product recommendations and fragmented customer data were costing Meridian millions in missed conversions and high cart abandonment.
Our Solution
We built a real-time personalization engine combining collaborative filtering, behavioral ML, and LLM-powered search. Integrated directly into their Shopify Plus stack with <50ms latency.
Key Results
- 340% ROI in the first year
- 28% increase in average order value
- 41% reduction in cart abandonment
- Live in 6 weeks from kickoff
Apex Medical Network
The Challenge
Clinical staff across 12 hospitals were spending 60%+ of their time on administrative tasks — documentation, prior authorizations, scheduling — instead of patient care.
Our Solution
Deployed an ambient AI scribe system using fine-tuned medical LLMs, integrated with their Epic EHR. Built an automated prior-authorization agent that reduced approval time from 3 days to 4 hours.
Key Results
- 58% reduction in administrative workload
- 3.2 additional patient hours per clinician per day
- Prior auth time: 72 hours → 4 hours
- Zero HIPAA compliance incidents
Crestline Capital
The Challenge
Legacy rule-based fraud detection was catching less than 70% of anomalous transactions, with a high false positive rate freezing legitimate customer accounts.
Our Solution
Built an ensemble ML model combining gradient boosting and neural networks with real-time feature engineering. Added an explainable AI layer for compliance and a human review queue for edge cases.
Key Results
- 99.2% fraud detection accuracy
- 84% reduction in false positives
- Real-time inference at <10ms
- Full explainability for regulatory audit
Hartmann Industrial
The Challenge
Unplanned equipment downtime was costing Hartmann $4M+ per year across 8 production facilities. Maintenance was reactive, not predictive.
Our Solution
Deployed IoT sensor integrations with a predictive maintenance ML model trained on 5 years of equipment data. Built a maintenance alert system that predicts failures 72+ hours in advance.
Key Results
- $4.2M annual cost savings
- 89% reduction in unplanned downtime
- Failure predictions 72h in advance
- ROI achieved in under 4 months
Nexus Legal Partners
The Challenge
Junior associates were spending 80% of billable hours on document review and due diligence — a bottleneck that limited the firm's capacity to take on new cases.
Our Solution
Built a RAG-powered legal research assistant trained on case law, statutes, and the firm's 20-year case archive. Integrated a contract review AI that flags risks and anomalies in seconds.
Key Results
- 80% reduction in document review time
- Firm capacity increased by 40%
- New case intake up 35% same headcount
- 98.4% accuracy on contract risk flagging
Luminos Supply Co.
The Challenge
Demand forecasting accuracy was 61%, leading to chronic overstock in some SKUs and stockouts in high-demand products — bleeding $8M in annual working capital.
Our Solution
Built a multi-horizon demand forecasting system using LightGBM and temporal fusion transformers, integrating weather, events, macroeconomic signals, and historical POS data.
Key Results
- Forecast accuracy improved to 94%
- $6.1M working capital freed
- Stockouts reduced by 73%
- Deployed across 340 SKUs
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