The control plane for compliance agents.
Real-time data infrastructure that ingests, validates, and delivers structured context to your agents. Compliance, operations, and more for insurance, construction, healthcare, and quality teams.
Live Ingestion Stream
Real-time data infrastructure for AI agents
From Documents to Agent-Ready Context
A pipeline that ingests documents and unstructured data (forms, blueprints, specs), validates and deduplicates it, and delivers structured outputs to ERPs, CRMs, and AI agents in real time.
Compliance Documents
RAW_INPUT_STREAM
Regulatory Reports
AUDIT_TRAILS
Violation Alerts
RISK_FLAGGING
Source
Compliance Documents
Validation Engine
Risk Detection
Destination
Alerts & Reports
Document recognition
Process forms, photos, and PDFs with high accuracy.
Risk flagging
Real-time detection of violations and fraud patterns.
Audit trail
Immutable logs for regulatory and compliance reporting.
Ingest. Validate. Report.
In 5 lines of code.
Build on the control plane. Ingest, validate, and stream data to your agents. Use our unified SDK for documents and validation. No custom scrapers per document type.
Typed SDKs
Full TypeScript & Python support with auto-completion.
Real-time Alerts
Instant notifications for critical violations and fraud patterns.
Customizable Rules
Configure validation rules for your specific compliance requirements.
Export to AI Agents
Stream validated data directly to your AI workflows via webhooks or SDK.
import nex_ai
from nex_ai.compliance import ValidationRules
# 1. Initialize Client
client = nex_ai.Client(api_key="sk_live_...")
# 2. Ingest Installation Form
doc = client.ingest(
file="./hvac_installation_form.pdf",
extract=["voltage", "wire_gauge", "technician_signature"]
)
# 3. Run Compliance Validation
result = client.validate(
data=doc.json(),
rules=ValidationRules.HVAC_SAFETY,
threshold="CRITICAL"
)
print(f"Risk Level: {result.risk_level}, Violations: {result.violations}")Built for Real-World Use Cases
Most parsers break on real-world chaos. Nex thrives on it. We process handwritten notes, crumpled scans, and mixed-language documents with human-level understanding, powering compliance, operations, and more. Deployed on high-volume compliance workflows.
Handwritten Text Recognition (HTR)
Process handwritten notes from claims adjusters, technicians, healthcare providers. Handle messy forms, varying handwriting styles, and real-world conditions.
Global Language Engine
Support global operations with automatic language detection. Process claims, medical records, and compliance docs in 95+ languages.
Recursive Table Logic
Extract structured data from insurance loss runs, medical billing codes, inspection checklists, and multi-page compliance reports.
Restoration Layer
Handle real-world document quality: mobile phone captures, faxed claims, damaged forms, poor lighting. Our pre-processing layer auto-corrects issues before extraction.
Use Cases We Power
Stop fraud, avoid fines, and prevent incidents across these verticals. Compliance is one use case we power; a dedicated case study coming soon.
Claims Fraud Prevention
Validate claims at submission. Detect inflated damages, staged accidents, and fraud before payout. Prevent $10K-$100K+ losses per claim.
Your data never leaves
your control.
Nex AI can be deployed within your VPC (Virtual Private Cloud) at additional cost. We process PII/PHI with local processing and minimal data retention, designed to meet enterprise security standards.
Private Cloud
VPC deployment available on AWS, Azure, or GCP (additional cost).
Data Residency
Keep data in specific regions (e.g., EU Frankfurt, US East) for sovereignty.
PII Redaction
Auto-detect and mask sensitive info before it enters the model context.
Audit Trails
Immutable logs of every document processed and every API call made.