HNTR AI

Technical Platform Overview

Enterprise AI Infrastructure for Wealth Management Recruiting
Version 3.26.0 February 2026 Patent Pending
Confidential
Section 01

Executive Summary

HNTR AI is a full-stack recruiting intelligence platform purpose-built for the wealth management industry. The system combines proprietary behavioral scoring algorithms, a multi-model AI pipeline, and enterprise-grade Azure infrastructure to help broker-dealers and RIAs identify, engage, and convert top financial advisors.

Built by a 20-year national recruiting veteran, the platform translates decades of field experience into software — replacing intuition with data-driven intelligence at every stage of the recruiting lifecycle.

130K+
Lines of Code
44
Data Models
200+
API Endpoints
13
Azure Services
Section 02

Technology Stack

The platform is built on modern, production-grade technologies selected for scalability, security, and developer velocity.

LayerTechnologyDetails
FrameworkNext.js 14 (App Router)React 18, TypeScript 5, server-side rendering with standalone Docker output
DatabasePostgreSQL + Prisma 7Azure Flexible Server D4ds_v5 (16GB), 44 data models, 1,463-line schema
CachingAzure Redis CacheSession management, API response caching, rate limiting
AI / LLMAzure OpenAI (4 models)Fine-tuned Cognitive OS, GPT-4o, GPT-4o-mini, text-embedding-3-large
SearchAzure AI Search S1Full-text and semantic vector search across advisors and intelligence
StorageAzure Blob StorageDocument management, firm files, model artifacts
AuthNextAuth v5 (multi-provider)Microsoft Entra ID, Google, Apple, Email+Password, SAML SSO, Passkeys
StylingTailwind CSS 3.4Utility-first CSS with custom design system
MonitoringSentry + App InsightsError tracking, performance monitoring, usage analytics
PaymentsStripeSubscription billing, metered usage, multi-tier pricing
CommunicationsTwilio + ResendSMS, voice, transactional email delivery
EnrichmentApollo + FINRA + SECContact data, regulatory filings, BrokerCheck integration
Section 03

System Architecture

The platform follows a five-layer architecture deployed on Microsoft Azure, with full redundancy and failover across critical services.

Edge
Azure Front Door (CDN + WAF) App Service P3v3 Container Registry
Compute
Next.js Standalone 200+ API Routes Server Actions Webhook Handlers
AI / ML
Cognitive OS (Fine-tuned) GPT-4o GPT-4o-mini Embeddings (3-large)
Data
PostgreSQL D4ds_v5 Redis Cache Blob Storage AI Search S1 Key Vault
Security
Defender for Cloud Microsoft Sentinel (SIEM) Purview (Data Catalog) Application Insights
Section 04

AI Engine & Cognitive OS

At the core of the platform is the Cognitive OS — a proprietary AI engine that models the psychological dynamics of advisor recruiting conversations. Unlike generic LLM wrappers, Cognitive OS applies domain-specific behavioral science to every AI-generated output.

Dual-LLM Pipeline

Every AI generation passes through a multi-stage pipeline designed to ensure quality, relevance, and brand safety:

Cognitive
Resolver
Skeleton
Generation
Voice
Synthesis
Quality
Gates
Red Team
Validation
Output

Four-Gate Quality Model

GateMetricThresholdPurpose
Contamination0 — 100≤ 5Ensures output doesn't leak training data or competitor language
Framework0 — 100≥ 70Validates alignment with the recruiting communication framework
Red Team11 testsAll passChecks brand voice, structure, channel fit, length, and tone
Cognitive0 — 24≥ 18Scores psychological accuracy of the generated message

Multi-Model Failover

The system maintains a three-tier failover chain ensuring 99.9% uptime for AI generation:

TierModelRole
PrimaryCognitive OS (Fine-tuned)Domain-specific recruiting intelligence with proprietary weights
SecondaryGPT-4oHigh-capability fallback for complex generation tasks
TertiaryGPT-4o-miniFast, cost-efficient fallback maintaining core quality
Section 05

Proprietary Scoring Engines

Four patent-pending scoring engines work independently or together to power the recruiting intelligence layer. Each engine uses weighted multi-factor analysis calibrated by two decades of recruiting experience.

HNTR Fit™ Patent Pending

Multi-dimensional advisor-firm compatibility scoring across culture, platform, compensation structure, and geographic alignment. Reduces mis-hires and early attrition.

BLIX™ Index Patent Pending

Breakaway Likelihood Index analyzing production metrics, team dynamics, client complexity, and behavioral signals to predict advisor movement probability.

HNTR Signal™ Patent Pending

Pre-outreach intelligence engine monitoring job postings, regulatory events, news coverage, and digital engagement to build passive familiarity before first contact.

HNTR Watch™ Patent Pending

Real-time behavioral alerting tracking tenure stability, compensation gaps, firm market signals, and engagement patterns to optimize outreach timing.

Configurable Weight System

Each scoring engine exposes configurable weights allowing firms to calibrate algorithms to their specific recruiting strategy. Default calibrations are based on 20+ years of empirical recruiting data, with per-firm overrides supported at the admin level.

Section 06

Data Model & Multi-Tenant Architecture

The platform uses a comprehensive relational data model with 44 tables supporting full multi-tenancy, role-based access control, and complete audit logging.

Core Entity Groups

DomainModelsDescription
TenancyFirm, User, UserSessionMulti-tenant isolation with firm-level configuration, 7-role RBAC
AdvisorsTenantAdvisor, TenantActivityComplete advisor profiles with 80+ fields, activity tracking across 8 channels
AI GenerationGenerationLog, MarketingDraftFull audit trail of AI outputs with quality scores and prompt paths
EnrichmentEnrichmentLogMulti-provider data enrichment (Apollo, FINRA, SEC) with cost tracking
IntelligenceIntelItem, NotificationReal-time intelligence alerts with AI deduplication and severity classification
WorkflowWorkflow, WorkflowProgress, FlowRule8-stage recruiting methodology with automation triggers and per-advisor tracking
ScoringScoringConfig, PipelineConfigPer-firm scoring weights and customizable pipeline stages
EnterpriseFirmSSOConfig, Passkey, AuditLogSAML SSO, WebAuthn, SOC 2-ready audit logging with risk classification
IntegrationsUserGraphToken, TeamsWebhookMicrosoft 365 sync (Outlook, Teams, Calendar) with encrypted token storage
BillingUsageRecord, FirmFeatureStripe-powered metered billing with per-firm feature flags

Advisor Data Depth

Each advisor record supports 80+ structured fields including production metrics, AUM, team composition, prior firm history (up to 5 firms with date ranges), licensing data, compliance flags, CRD numbers, and enrichment snapshots from multiple providers. Records are versioned with full change history.

Section 07

HNTR FLOW Methodology Engine

HNTR FLOW is an 8-stage recruiting workflow engine that codifies the relationship-led recruiting methodology into an automated, trackable system with built-in AI assistance at every stage.

Lead
ID
Prospect
Data
Gathering
Diligence
Prelim
App
Offer
Design
Offer
Present
Affiliation

Automation Capabilities

Each stage supports configurable triggers and automated actions:

Trigger TypeActions Available
Stage entry / exitAI content generation, task creation, team notifications
Activity completionNext-step recommendations, pipeline advancement prompts
Milestone reachedManager alerts, compliance checks, document generation
Stall detectionRe-engagement content, escalation alerts, strategy suggestions
Score thresholdPriority bumps, outreach triggers, intel deep-dives

AI Content Generation

The workflow engine can auto-generate 11 content types: emails, call scripts, LinkedIn messages, voicemail scripts, text messages, meeting agendas, proposal sections, objection responses, internal notes, collateral, and follow-ups — all contextualized to the advisor's current stage and behavioral profile.

Section 08

API Architecture

The platform exposes 200+ RESTful API endpoints organized into versioned route groups with comprehensive authentication, rate limiting, and validation.

Route GroupEndpointsScope
Authentication25+Multi-provider login, 2FA (TOTP), WebAuthn, SAML SSO, password management
Advisors (CRUD)15+Create, read, update, verify, enrich, bulk operations, intel overlay
AI Generation10+Message, playbook, marketing content, sidebar agent, flow automation
Enrichment8+Apollo search/contact, FINRA BrokerCheck, SEC IAPD, credit tracking
Intelligence10+Intel feed, dossier generation, search, firm tracking
Workflow / Flow20+CRUD, progress tracking, rule management, template library, execution logs
Integrations15+Microsoft Graph (Outlook/Teams/Calendar), Slack connectors
Admin / Platform30+Tenant management, user provisioning, feature flags, audit, SCIM
Billing5+Stripe webhooks, usage metering, subscription management
Export / Documents10+CSV/DOCX export, document upload/download, playbook generation

API Security

All endpoints are protected by session-based authentication with JWT tokens, tenant isolation middleware, role-based permission checks, Zod schema validation, and configurable rate limiting. Webhook endpoints use HMAC-SHA256 signature verification.

Section 09

Security & Compliance

The platform is designed with a SOC 2-ready security posture, implementing defense in depth across authentication, data protection, infrastructure, and audit logging.

🔒
Multi-Factor Authentication
TOTP 2FA, WebAuthn/Passkeys, backup codes, and forced password change policies
🏢
Enterprise SSO
SAML 2.0 + OIDC with auto-provisioning, domain enforcement, and SCIM user sync
🛡
Encryption at Rest & Transit
AES-256-GCM for sensitive fields, TLS 1.3, Azure Key Vault for secrets
📋
SOC 2 Audit Logging
Immutable audit trail with risk classification, hashed IPs, and data sensitivity labels
Threat Detection
Azure Defender + Microsoft Sentinel SIEM for real-time threat monitoring
👥
RBAC (7 Roles)
30+ granular permissions: Business Owner, Admin, Manager, Recruiter, Viewer, Compliance
🌐
Security Headers
Strict CSP, HSTS, X-Frame-Options, Permissions-Policy on all responses
Rate Limiting
Per-endpoint rate limiting with sliding window, IP tracking, and automatic blocking
Section 10

Integrations & Extensibility

Microsoft 365 Live

Outlook email sync (bidirectional), Teams webhook notifications, Calendar availability & event creation via Microsoft Graph.

Apollo.io Live

Contact enrichment, people search, organization lookup with credit cost tracking and rate limit management.

FINRA BrokerCheck Live

Regulatory record verification, employment history, disclosure events, and license validation.

Stripe Billing Live

Subscription management, metered usage billing, multi-tier pricing (Starter, Professional, Enterprise).

Webhooks (Outbound) Live

Configurable webhook endpoints with HMAC-SHA256 signing, retry logic, and delivery tracking.

SCIM Provisioning Live

SCIM 2.0 endpoint for automated user provisioning and deprovisioning from enterprise identity providers.

Section 11

Deployment & Infrastructure

ComponentAzure SKUSpecification
ComputeApp Service P3v38 vCPU, 32GB RAM, SSD, auto-scale, staging slots
DatabasePostgreSQL Flexible D4ds_v54 vCPU, 16GB RAM, 128GB storage, automated backups
CacheRedis Standard C11GB, session store, API caching, rate limit counters
SearchAI Search S1Full-text + semantic vector search, 50GB index capacity
CDN / WAFFront Door StandardGlobal edge caching, DDoS protection, WAF rules
ContainersContainer Registry BasicDocker image hosting, vulnerability scanning
StorageBlob Storage (Hot)Documents, model artifacts, exported files
SecretsKey Vault StandardAPI keys, connection strings, certificates

Deployment Pipeline

Containerized deployment using Docker multi-stage builds with Node.js 22 Alpine. Images are built with Azure Container Registry, deployed to App Service with staging slot warm-up, and promoted to production via slot swap for zero-downtime releases.

Section 12

Mobile Platform

HNTR AI includes a native iOS application built with Capacitor, providing full platform access from iPhone and iPad. The mobile app loads the production web application within a native shell, enabling push notifications, biometric authentication, and offline-capable features while maintaining a single codebase.