REZINX
Transparent AI Solutions
Claims Automation & Document AI
We build custom document intelligence systems for insurance carriers, from claims processing and fraud verification to policy audit engines and customer intake agents. Built with LangChain and LangGraph.
Capabilities
Every system is designed to accelerate claim workflows and reduce processing errors.
Extracting incident facts, invoice details, dates, and repair descriptions from claims forms automatically. Eliminates hours of manual data entry.
Instant search and validation of specific coverage rules, liability limits, and exclusions across thousands of policy documents. Finds answers with exact citations.
Identifying duplicates or exaggerated entries on garage repair bills or medical estimates. Cross-references historical claims data to score potential anomalies.
LangGraph conversational agents that collect client asset details, answer quote questions, and prepare customized profiles for underwriters automatically.
OCR-coupled parsing engines that read vehicle repair details and property estimates, classifying materials and labor fees into structured entries.
Connecting verified claims data with payout mechanisms, enabling low-risk claims to resolve and payout instantly through secure financial APIs.
Enterprise Security
We deploy our document processing and RAG search models within your private networks, keeping claim history data completely isolated.
Our insurance stack utilizes LangChain to structure messy document files, Qdrant on private docker nodes to query past cases, and secure API links to update CRM tools.
Private models process claims records locally without public server queries.
Every coverage checks returns page citations from the original policy document.
Integrates directly with Salesforce, Guidewire, or custom insurance databases.
Set custom threshold parameters to settle minor claims with zero human lag.
Yes. We use advanced multi-modal OCR pipelines that extract handwritten details from accident forms, medical notes, and bills, converting them to clean structured text before LLM evaluations.
We deploy schema verification checks that cross-reference extracted numbers with policy limit caps. Any deviation or low-confidence score immediately freezes the automation and routes the file to a senior claims adjuster.
We build API layers that sync with Guidewire, Salesforce, standard SQL servers, and internal document management systems, enabling seamless data flow across your existing tools.
Yes. For strict data protection requirements, we deploy open-source models on your local servers, ensuring no policyholder data ever leaves your direct firewall parameter.
Initial deployment takes between 6 to 10 weeks. The engine continuously improves its accuracy by learning from adjustments and decisions made by your claims team over time.
Ready to automate your claim reviews, policy audits, and risk assessment workflows? Book a free consultation with our insurance AI architects.
Book a Free Insurance Consultation