Real Deployments.Measured Outcomes.

Case studies from CoreVector AI's production document intelligence systems.

Healthcare Document Intelligence

Healthcare Document Intelligence

Healthcare Provider

Healthcare Industry

documents

250K+ records

accuracy

99.7%

timeSaved

1.2K hrs/month

📊 Challenge

The healthcare network was managing 250K+ records across multiple formats (PDFs, scanned documents, lab reports, imaging studies) spread across 8 facilities. Critical information was locked in unstructured data, leading to delayed access to patient information, duplicate testing, and compliance risks.

⚙️ Solution Architecture

Implemented a comprehensive document intelligence system: Multi-modal AI combining OCR for handwritten notes, table extraction for lab results, medical entity recognition using BioBERT, and a hierarchical RAG system organizing records by facility→department→document type. Integrated HIPAA-compliant vector storage with role-based access controls.

📈 Measured Results

99.7% accuracy in medical entity extraction

80% reduction in time to retrieve patient information

Saved 1,200+ clinician hours per month

Zero HIPAA violations with complete audit trail

Hierarchical RAG handling 250K+ documents across 3 levels

🔧 Technologies Used

LangChainAzure AIPineconeGPT-4AWS LambdaPostgreSQL

💬 Client Feedback

"CoreVector AI transformed our ability to access critical patient information instantly. The accuracy and compliance built-in give us complete confidence in the system."

Healthcare Provider

Legal Contract Intelligence

Legal Contract Intelligence

Law Firm

Legal Industry

reviewTime

-92%

contracts

12K+

savings

$420K recovered

📊 Challenge

The law firm was managing 12K+ contracts and associates spent 60% of their time on manual document review, searching for key clauses, obligations, and deadlines. Contract analysis took days instead of hours, creating significant risk of missing critical terms and business opportunities.

⚙️ Solution Architecture

Deployed a powerful document intelligence solution: Custom NER models for legal entities (parties, dates, obligations), clause classification using fine-tuned transformers, semantic search for similar contracts, automated obligation extraction, and intelligent contract comparison. Built hierarchical RAG with contract→section→clause hierarchy for instant retrieval and relationship mapping.

📈 Measured Results

92% reduction in contract review time

Automated extraction of 95% of standard clauses

Identified $420K in missed obligations and renewals

Processing 100+ contracts per day

Multi-level RAG across 12K+ contracts with graph relationships

🔧 Technologies Used

LangGraphWeaviateNeo4jClaude 3.5Azure FunctionsRedis

💬 Client Feedback

"The accuracy and speed of contract analysis has given us a competitive advantage. We're now closing deals faster and avoiding risks our competitors miss."

Law Firm

Research Paper Intelligence

Research Paper Intelligence

Research Institution

Academic Industry

papers

120K+ indexed

reviewTime

2 days vs 3 weeks

discoveries

80+ opportunities

📊 Challenge

University researchers were overwhelmed by 120K+ academic papers across 8 departments. Finding relevant research was extremely time-consuming, literature reviews took weeks, cross-departmental discoveries were rare, and duplicate research efforts wasted resources.

⚙️ Solution Architecture

Prescribed advanced hierarchical RAG: Multi-level document organization (university→department→researcher→paper→section), scientific entity extraction, citation graph analysis, semantic clustering by research topic, and intelligent summarization. Implemented cross-modal understanding for figures, tables, and equations using multimodal embeddings.

📈 Measured Results

Literature review time cut from 3 weeks to 2 days

Discovered 80+ cross-departmental research opportunities

35% reduction in duplicate research efforts

Semantic search across 120K+ papers with 94% relevance

Hierarchical RAG with 5-level indexing: University→Dept→Author→Paper→Section

🔧 Technologies Used

LangChainFaissClaude 3.5AWS S3Anthropic APIMongoDB

💬 Client Feedback

"This system has fundamentally changed how our researchers work. We're discovering connections and opportunities that would have been invisible before."

Research Institution

Enterprise Knowledge Intelligence

Enterprise Knowledge Intelligence

Manufacturing Company

Manufacturing Industry

documents

85K+ unified

downtime

-70%

savings

$380K annual

📊 Challenge

A regional manufacturing company had accumulated 20 years of documents - technical manuals, SOPs, safety protocols, maintenance logs, engineering specifications spread across 12 facilities. Knowledge was siloed, inconsistent, and inaccessible. New employee onboarding took 4 months and equipment downtime due to manual knowledge searches cost hundreds of thousands annually.

⚙️ Solution Architecture

Implemented comprehensive document modernization: Ingestion pipeline for PDFs, Word docs, scanned images, and CAD files. Intelligent document understanding with layout analysis, table extraction, and diagram interpretation. Built company-wide hierarchical RAG with facility→department→document type→section hierarchy. Automated document generation for standard procedures from templates.

📈 Measured Results

Unified 85K+ documents into searchable knowledge base

70% reduction in equipment downtime

Employee onboarding reduced from 4 months to 3 weeks

$380K annual savings from faster issue resolution

Graph-based hierarchical RAG connecting related procedures across all facilities

🔧 Technologies Used

LangGraphAzure OpenAIMilvusGPT-4AWS LambdaElasticsearch

💬 Client Feedback

"We now have access to institutional knowledge that was previously locked away. The ROI has exceeded our expectations and we're already recommending the solution to peers."

Manufacturing Company

Financial Services Document Intelligence

Financial Services Document Intelligence

Financial Services Firm

Financial Services Industry

documents

45K+ financial docs

processingTime

-82%

savings

$640K annual

📊 Challenge

Manual processing of SEC filings, earnings reports, and regulatory documents took weeks. Analysts spent 70% of time searching for information instead of analyzing it. Risk of missing critical financial indicators or regulatory changes.

⚙️ Solution Architecture

Deployed specialized financial document intelligence: Fine-tuned NER for financial entities (tickers, CUSIP, regulatory IDs), sentiment analysis for earnings calls, automated extraction of financial metrics from tables, compliance checking against SEC/FINRA rules. Built hierarchical RAG with jurisdiction→regulatory body→document type→section hierarchy.

📈 Measured Results

99.5% accuracy in financial entity extraction

82% reduction in document processing time

$640K annual savings in analyst time

Real-time regulatory change detection

Multi-jurisdiction compliance across 8 countries

🔧 Technologies Used

LangChainAzure AINeo4jGPT-4oAWS BedrockPostgreSQL

💬 Client Feedback

"CoreVector AI transformed our document workflow. We now catch regulatory changes in real-time and our analysts focus on analysis, not document hunting."

Financial Services Firm

Insurance Claims Processing

Insurance Claims Processing

Insurance Provider

Insurance Industry

claims

180K+ annual

fraudPrevention

$920K saved

processingTime

2 days vs 14

📊 Challenge

Processing insurance claims required reviewing medical records, police reports, repair estimates, photos. Manual review took 14 days per claim. Fraud detection was inconsistent. Customer satisfaction suffered from delays.

⚙️ Solution Architecture

Implemented end-to-end claims intelligence: OCR for handwritten forms, image analysis for damage assessment, cross-document verification for fraud detection, automated policy matching, hierarchical RAG organizing by claim→document type→temporal sequence. Real-time anomaly detection flagging suspicious patterns.

📈 Measured Results

88% reduction in claims processing time

Fraud detection accuracy improved to 94%

$920K annual fraud prevention

2 day average claim turnaround

Customer satisfaction up 38%

🔧 Technologies Used

Azure VisionLangChainPineconeClaude 3.5AWS S3Redis

💬 Client Feedback

"Fraud detection improved dramatically while processing times dropped. We're now among the fastest claims processors in our market segment."

Insurance Provider

Government Public Records Management

Government Public Records Management

State Government Agency

Government Industry

documents

35K+ digitized

foiaTime

5 days vs 60

savings

$280K annual

📊 Challenge

Decades of paper records, microfilm, and early digital documents were inaccessible. FOIA requests took months. Critical records were deteriorating. No searchable database across document types.

⚙️ Solution Architecture

Comprehensive digitization and intelligence platform: Batch OCR for 15 years of records, metadata extraction from historical documents, FOIA-compliant search and redaction, automated PII detection and masking, hierarchical organization by department→year→document type→record ID. Integration with existing case management systems.

📈 Measured Results

35K+ historical documents digitized

FOIA request time reduced from 60 days to 5 days

100% PII auto-redaction accuracy

Cost savings of $280K annually

Zero missing document incidents

🔧 Technologies Used

LangGraphElasticsearchPostgreSQLAWS LambdaGPT-4Azure Functions

💬 Client Feedback

"We went from 60-day FOIA responses to 5 days. Our constituents can now access public records that were effectively lost for years."

State Government Agency

Real Estate Document Intelligence

Real Estate Document Intelligence

Real Estate Platform

Real Estate Industry

properties

95K+ monthly

titleTime

-84%

dealSavings

$480K annual

📊 Challenge

Real estate transactions involve 40+ documents per deal. Title research took days. Contract inconsistencies caused deal failures. Property data scattered across county systems, MLS, inspection reports.

⚙️ Solution Architecture

Unified real estate document platform: Automated title document extraction, contract clause comparison across listings, inspection report analysis with issue flagging, property history aggregation from county records, risk assessment based on document analysis. Built graph RAG connecting properties→transactions→parties→documents.

📈 Measured Results

Title research time reduced by 84%

Contract error detection rate 92%

$480K in avoided deal failures

4-hour average document processing

Unified data across 45 counties

🔧 Technologies Used

LangChainAzure OpenAIMongoDBClaude 3.5AWS S3Weaviate

💬 Client Feedback

"Document processing was our bottleneck. Now we close deals 2.5x faster and avoid costly contract errors that used to kill transactions."

Real Estate Platform

Education Credential Verification

Education Credential Verification

Education Institution

Education Industry

credentials

42K+ annual

verificationTime

3 hours vs 2 weeks

fraudDetection

99.7%

📊 Challenge

Manual credential verification took weeks. Fraud detection was inconsistent. Transfer credit evaluation required multiple staff. International credential assessment was backlogged several months.

⚙️ Solution Architecture

Automated credential intelligence platform: Document authentication using security feature detection, transcript parsing with grade extraction, automated transfer credit evaluation against course catalogs, international credential equivalency mapping, fraud detection through cross-institution verification. Blockchain-backed verification ledger.

📈 Measured Results

Verification time reduced from 2 weeks to 3 hours

99.7% fraud detection accuracy

International credential backlog reduced by 95%

$165K savings in manual verification

8-institution network integrated

🔧 Technologies Used

LangChainAzure AIPostgreSQLGPT-4oAWS LambdaRedis

💬 Client Feedback

"We eliminated our international credential backlog dramatically. Students get verified in hours instead of waiting weeks."

Education Institution

Retail Product Documentation & Compliance

Retail Product Documentation & Compliance

Retail Company

Retail/E-commerce Industry

skus

140K tracked

recallTime

4 hours vs 48

complianceSavings

$1.2M

📊 Challenge

Product documentation scattered across suppliers, regulatory bodies, internal systems. Compliance verification was manual and slow. Product recalls required days to identify affected inventory. Supplier certifications expired unnoticed.

⚙️ Solution Architecture

Comprehensive product documentation platform: Automated extraction from supplier PDFs, compliance checking against 20+ regulatory frameworks (FDA, CE, UL, etc.), certification expiration tracking, product recall impact analysis, supply chain document verification. Hierarchical RAG by category→product→supplier→certification.

📈 Measured Results

100% certification tracking

Recall response time reduced from 48 hours to 4 hours

$1.2M avoided in compliance fines

Supplier onboarding 68% faster

Real-time compliance across 6 countries

🔧 Technologies Used

LangGraphAWS TextractNeo4jClaude 3.5PineconeElasticsearch

💬 Client Feedback

"Product compliance went from reactive to proactive. We catch certification issues before they become costly recalls."

Retail Company

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