PROVEN IMPACT

Case Studies

Real deployments. Measurable ROI. Deep dives into how Rhinoo builds production-grade AI systems that deliver results — not demos.

● 130+ Systems Deployed

● 4.3× Avg ROI

● 50+ Enterprise Clients

FinTech / Lending

Neural Credit Scoring Engine

Client: NordLend Capital | System: Custom ML Underwriting Pipeline

94.2% Accuracy

41% Faster Decisions

12 Markets Live

Challenge

Legacy rule-based scoring rejected 34% of creditworthy applicants while missing high-risk profiles in fast-growing markets.

Solution

We deployed a fine-tuned gradient-boosting ensemble with real-time feature stores, explainability layers, and automated compliance logging.

Results

94.2% underwriting accuracy across 12 markets
41% faster loan decision turnaround
$2.1M annual loss prevention from bad debt

XGBoost Feature Store SOC 2

Baltic Logistics

Reinforcement Route Optimizer

Client: TransBaltica Freight | System: RL-Powered Fleet Dispatch

18.4% Fuel Savings

27% Fewer Delays

4h→18m Planning Time

Challenge

Manual dispatch across 180+ daily routes caused idle miles, fuel waste, and missed delivery windows during peak season.

Solution

A reinforcement learning agent trained on 3 years of telemetry data, integrated with live GPS, weather APIs, and warehouse load signals.

Results

18.4% reduction in fuel costs within 90 days
27% fewer late deliveries during peak loads
Dispatch planning cut from 4 hours to 18 minutes

Reinforcement Learning GPS Mesh MLOps

E-Commerce

Multi-Agent Support Mesh

Client: Velora Retail Group | System: Orchestrated CX Agent Network

85% Auto-Resolved

4.6★ CSAT Score

62% Cost Reduction

Challenge

Support volume spiked 3× during campaigns. Human agents drowned in repetitive tickets — CSAT dropped to 3.1 stars.

Solution

Four specialized agents (returns, shipping, product QA, escalation) orchestrated via a central router with RAG over order history and policy docs.

Results

85% of tier-1 tickets resolved without human handoff
CSAT recovered to 4.6 stars in 6 weeks
Support cost per ticket down 62%

Multi-Agent RAG Zendesk API

Healthcare SaaS

Clinical Document Intelligence

Client: MedFlow Systems | System: HIPAA-Compliant NLP Pipeline

73% Time Saved

96% Flag Precision

8 Clinics Live

Challenge

Clinicians spent 90+ minutes daily on manual chart review. Critical follow-up signals were buried in unstructured notes.

Solution

Domain-tuned LLM extraction pipeline with PHI redaction, structured FHIR output, and human-in-the-loop validation dashboards.

Results

73% reduction in manual chart review time
96% precision on critical follow-up flagging
Deployed in 8 clinics with zero compliance incidents

LLM FHIR HIPAA

Manufacturing

Predictive Maintenance Brain

Client: Apex Industrial Works | System: IoT + Anomaly Detection Stack

61% Less Downtime

89% Early Warnings

11wk ROI Breakeven

Challenge

Unplanned downtime on 3 critical lines cost €480K/quarter. Sensor data existed but no unified predictive layer.

Solution

Edge anomaly models on vibration and thermal streams, fused with a central time-series forecaster and maintenance ticket automation.

Results

61% fewer unplanned stoppages in Q1 post-launch
14-day advance warning on 89% of critical failures
ROI breakeven in 11 weeks

IoT Time-Series Edge AI

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