Nex AI is positioned as a "control plane for compliant data," providing real-time data infrastructure to ingest, validate, and deliver structured context to AI agents or existing systems. It is aimed at insurance, construction, healthcare, and quality teams, with the goal of preventing fraud and violations before payout.
Key capabilities
- Real-time ingestion streams: ingest information from documents and unstructured data (forms, blueprints, specifications, etc.), validate and deduplicate it, and output structured data in real time to ERP, CRM, and AI agents.
- Document recognition: process forms, photos, and PDFs with high accuracy.
- Validation engine: detect violations and fraud patterns in real time.
- Alerts and reporting: provide immutable logs for regulatory and compliance reporting.
- Real-time alerts: instant notifications for critical violations and fraud patterns.
- Customizable rules: configure validation rules for specific compliance requirements.
- Export to AI agents: stream validated data directly to AI workflows via webhook or SDK.
- Handwritten text recognition (HTR): process handwritten notes from claims adjusters, technicians, and healthcare providers, handling messy forms and diverse handwriting styles.
- Global language engine: automatic language detection, supporting processing of claims, medical records, and compliance documents in more than 95 languages.
- Recursive table logic: extract structured data from insurance loss runs, medical billing codes, checklists, and multi-page compliance reports.
- Recovery layer: handle real-world document quality issues such as phone capture, faxed claims, damaged forms, and poor lighting, automatically correcting them before extraction.
How to use
- Build through a unified SDK, supporting TypeScript and Python, with autocomplete. It is officially described as "ingest, validate, report, in just 5 lines of code."
- When not yet using AI agents, integrate with existing systems (Oracle, Salesforce, and ERP) and provide out-of-the-box workflow automation.
- Stream validated data to AI workflows via webhook or SDK.
Use cases
- Claims fraud prevention: validate claims at submission, detect inflated losses, staged accidents, and fraud, preventing losses of $10,000 to more than $100,000 per claim before payout.
- High-volume compliance workflows for compliance, operations, and quality teams.
- Fraud and violation prevention in verticals such as insurance, construction, and healthcare.
Security and deployment
- Data control: Nex AI can be deployed in the user's own VPC (virtual private cloud) for an additional fee.
- Processes PII/PHI with local processing and minimal data retention, designed to meet enterprise security standards.
- Supports VPC deployment on AWS, Azure, or GCP (additional fee).
- Can keep data in specific regions (such as Frankfurt, EU, or US East) to meet data sovereignty requirements.
- Automatically detects and masks sensitive information before it enters the model context.
- Retains immutable logs for every document processed and every API call.
Limitations
- The materials do not provide details such as specific pricing, free trials, performance metrics beyond supported languages, or deployment timelines.