Production results · Real metrics

Proof in production

Every project below is real — real clients, real architecture decisions, and hard numbers. We include model choices, deployment details, and lessons learned because vague case studies help nobody.

Showing 11 case studies
AI Engineering

AI & ML outcomes

Agents, RAG, LLMs, vision, and real-time ML — deployed in production with measurable ROI.

Client outcomes 7 case studies
82%Faster onboarding
$1MAnnual savings
HealthcareAI Agents

AI-Powered EHR Onboarding

Automated patient EHR onboarding with document extraction, entity normalization, and FHIR-compliant data mapping. Reduced onboarding from 45 min to 8 min.

34%More pipeline
$1.2MIncremental revenue
SaaSAI Agents

Multi-Agent CRM Pipeline

LangGraph multi-agent system for B2B CRM — automated lead scoring, personalized outreach, and pipeline management. Lead response: 4.2hr → 3min.

87.5%Faster review
$480KAnnual savings
LegalLLM

LLM Contract Analysis

Fine-tuned Llama 3 70B for contract analysis — clause extraction, risk classification, and standard comparison. Review time: 6hr → 45min.

78%Faster reviews
$900KAnnual savings
FintechRAG

RAG Compliance Review System

Hybrid RAG system for a mid-size financial services firm — citation-grounded gap detection across SEC, FINRA, SOX, and internal policies.

68%Fraud reduction
47msP95 latency
FinTechEnsemble ML

Real-Time Fraud Detection

GNN + transformer + GBT ensemble for digital banking — synthetic identity and account takeover detection in 47ms at 2M+ daily transactions.

68%Faster processing
$1.1MAnnual savings
InsuranceMulti-Modal AI

AI Insurance Claims Processing

Multi-modal claims pipeline for a mid-size regional P&C insurer — vision transformers, NLP classification, and fraud scoring. Processing: 11 days → 3.5 days.

12→68%Portal adoption
$1.8MAnnual savings
HealthcareConversational AI

AI-Powered Patient Portal

Conversational AI patient portal — NLU symptom triage, smart scheduling, and lab result interpretation.

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