Case Studies

AI that moved the needle

Real deployments. Real clients. Real outcomes. Every case study here represents a production system — not a prototype, not a pilot.

50+

Projects Delivered

Fintech Systems

HealthTech Systems

Fintech AI

3 projects

Fintech2024Featured

Neural Credit Risk Engine

Risk Assessment & AI Lending

A regional lending institution was processing over 2,400 loan applications monthly using a legacy rule-based system with a 34% false-positive rate on defaults. Manual underwriting consumed 18+ hours per application, limiting growth and creating inconsistent credit decisions.

94.2%

Default Prediction Accuracy

8 seconds

Processing Time

Machine LearningRisk ModelingPythonAWS

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Fintech2023Featured

Real-Time Transaction Fraud Detection

Fraud Prevention & Security AI

A payment processing startup handling $850M in monthly transaction volume was losing $4.2M monthly to sophisticated fraud rings that easily bypassed traditional rule-based systems. Alert fatigue had analysts reviewing 1,200+ false positives daily.

97.8%

Fraud Detection Rate

84%

False Positive Reduction

Anomaly DetectionStream ProcessingGraph Neural NetworksKafka

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Fintech2023

Personalized Wealth Intelligence Advisor

Investment AI & Personalization

A registered investment advisor with $2.1B AUM was struggling to provide personalized investment insights at scale. Advisors serviced 180+ clients each, making meaningful personalization impossible. Client retention was below industry average at 82%.

Portfolio OptimizationNLPLLMFinancial Data

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HealthTech AI

3 projects

HealthTech2024Featured

Predictive Readmission Intelligence Platform

Predictive Analytics & Care Management

A 12-hospital network faced $23M annually in CMS readmission penalties, with 30-day readmission rates 4.2 points above the national average. Care coordinators had no systematic way to identify high-risk patients before discharge.

28%

Readmission Rate Reduction

$6.4M

CMS Penalty Avoidance

Healthcare AIPredictive ModelingHL7 FHIRPython

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HealthTech2024

Ambient Clinical Intelligence Platform

Clinical AI & NLP

Physicians at a 220-provider medical group were spending 38% of their workday on documentation, contributing to severe burnout. Clinical notes averaged 90 minutes per provider per day, with 23% error rates in ICD coding.

74%

Documentation Time Savings

98.1%

Coding Accuracy

NLPSpeech AILLM Fine-tuningClinical NLP

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HealthTech2024

AI-Accelerated Drug Candidate Screening

Life Sciences & Computational Biology

A biotech startup was spending $2.8M per compound in early-stage screening, with 94% of candidates failing in pre-clinical phases. Their pipeline for a rare cardiovascular target had stalled with only 8 viable candidates after 3 years.

78%

Screening Cost Reduction

6× faster

Pipeline Acceleration

Molecular AIGraph Neural NetworksDrug DiscoveryBioinformatics

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