LCL LAUNCHCLOUD LABS

Innovation Portfolio

Proprietary products engineered to transform financial infrastructure, emergency medicine, and autonomous decision-making.

● PUBLIC VIEW
ACTIVE DEVELOPMENT

BrinksPay

Merchant-Controlled Payment Infrastructure

End-to-end BNPL payment platform that empowers merchants with full control over financing terms, real-time risk analytics, and automated compliance reporting.

Technical Architecture

Next.js full-stack application with Stripe integration, dynamic contract generation, and digital signature capture. Real-time merchant dashboards with financial velocity modeling.

Key Differentiators

  • Merchant-defined payment terms (frequency, late fees, grace periods)
  • TradeShield credit reporting — merchants can furnish payment data to bureaus
  • AI-powered risk scoring with real-time approval/decline
  • Zero-friction borrower onboarding with email notifications

Current Status

Deployed on Vercel. Merchant portal, borrower portal, and checkout flow functional. Stripe integration pending API keys.

View Live Demo →
EPIC EHR APPROVED

FirstLight | EventHorizon

EMS Intelligence & Edge Recording System

Ambulance-mounted edge computing system that captures real-time audio, video, and GPS data with AI-powered transcription and automatic hospital uplink via HL7 FHIR.

Hardware Architecture

Dual-processor design: Raspberry Pi 4 (compute core) + ESP32 (real-time UI controller). ReSpeaker 4-mic array for far-field audio capture, Quectel 5G modem for cellular uplink, u-blox GNSS for precision geofencing.

Key Differentiators

  • Epic EHR marketplace approval — direct hospital integration
  • On-device Whisper ASR with speaker diarization
  • LUKS full-disk encryption with ring-buffer storage
  • Glove-friendly tactile controls — no touchscreens
  • CNC aluminum IP54 enclosure designed for ambulance vibration

Current Status

Prototype v1.0 PCB design complete. Marketing site live. Pricing calculator available for EMS agencies.

Pricing Calculator →
PROTOTYPING

Project Arbiter

Ensemble AI Decision Engine

Multi-model consensus system that orchestrates competing AI agents to produce vetted, high-confidence decisions through structured debate and jury deliberation.

Architecture

Next.js application with real-time WebSocket connections to multiple AI providers (Gemini, GPT, Claude, Grok). Candidates debate, a jury evaluates arguments, and a Judge AI synthesizes the final consensus with confidence scores.

Key Differentiators

  • Veto system — agents can reject Judge consensus with "Supreme Court" intervention
  • Real-time animated debate visualization
  • Configurable thinking levels and model selection
  • Cross-provider redundancy eliminates single-model bias

Current Status

Functional prototype with Gemini-powered agents. Mock and live API modes. Deployed for internal testing.