About the Platform

Built by Operators,
for Operators.

We are not a VC-backed SaaS startup. We are an Edge AI & Automation Orchestration Platform built by someone who has run real crews on real deadlines with real consequences. Three infrastructure pillars. One platform. Your hardware. Zero leakage.

The Platform Thesis

Every operating business generates a firehose of data: schedules, inventory, compliance documents, maintenance records, crew logs, incoming calls, job bookings. Most of it lives trapped inside closed-source legacy systems — desktop ERPs built in 2003, job management tools with no API, voicemail boxes that fill up overnight.

The mainstream AI industry has one answer: upload your data to our cloud. Ship it to our API. Trust our infrastructure. Pay per token, per seat, per month — forever.

We rejected that answer on three fronts.

Pillar One — Edge AI Orchestration: Pre-configured local appliances running automated n8n workflows 24/7 via outbound Cloudflare Tunnels. Your hardware, your firewall, your rules. Zero inbound ports.

Pillar Two — 24/7 AI Intake Engine: Conversational AI voice and SMS agents (running on the voice and SMS providers you choose) that answer, qualify, and book jobs while your crew sleeps. Integrated directly into your CRM. No missed calls. No voicemail tag.

Pillar Three — Legacy Data Bridge: Vision-RPA agents that scrape data out of closed-source desktop ERPs and stream it into Google BigQuery for live Looker Studio dashboards. No manual CSV exports. Just continuous, automated data liberation.

Starbloom Consulting LLC is the orchestration layer that connects all three. Three pillars. One platform. Your infrastructure.

Meet the Platform Architect

Darren — Founder & Lead Platform Architect at Starbloom Consulting LLC

Founder & Lead Platform Architect

Darren Kelly

Founder & Lead Platform Architect

Darren has spent over two decades on the front lines of operations — construction superintending, regional erosion control management, behavior intervention for vulnerable populations, and directing large-scale agricultural facilities with 50-person teams across 21-room rotational production environments. That depth is what he brings to the Edge AI platform: not theoretical knowledge, but the hard-won instinct of someone who has run real crews on real deadlines with real consequences. He translates legacy systems into orchestrated data pipelines, closed-source ERPs into live dashboards, and hardware into automated infrastructure.

Platform Competencies

Edge AI Orchestration Architecture N8N Workflow Automation Cloudflare Zero Trust Tunnels Conversational AI Voice Agent Deployment Vision-RPA Legacy Data Extraction Google BigQuery Pipeline Engineering Looker Studio Dashboard Design On-Premise LLM Deployment Docker Container Orchestration CRM & Job Management Integration

Platform Credentials

Hands-on experience from the trades, not a conference badge.

Operations Command

  • 20+ years managing labor crews, construction sites, and production facilities
  • Directed 50-person teams across 21-room rotational production environments
  • Designed and implemented full SOP libraries from scratch — zero-downtime scheduling

Platform Engineering

  • Architected multi-node Edge AI orchestration clusters on consumer and prosumer hardware
  • Deployed local-first LLM environments — inference runs on-premises; external APIs are ones the client chooses and configures
  • Engineered outbound-only Cloudflare Tunnel topologies that bypass enterprise firewall friction
  • Integrated Docker, n8n, Ollama, and Open WebUI into cohesive private stacks

Automation & Data Liberation

  • Built vision-RPA agents that extract data from closed-source legacy desktop ERPs
  • Engineered real-time BigQuery streaming pipelines from on-premise systems
  • Developed autonomous AI agent frameworks handling thousands of operational signals daily
  • Created 24/7 conversational AI intake agents integrating Vapi, Retell, and Twilio

Apex Core Pricing

Flat monthly rate plus a one-time deployment. No per-seat licensing, no usage-based billing.

Apex Core Foundation

$349 /month

+ $795 one-time deployment

Local automation — n8n + local model runner + secure tunnel, on one machine. Pre-configured workflow automations. 30 days onboarding support.

Recommended

Apex Core Fleet

$499 /month

+ $1,295 one-time deployment

Full 24/7 intake engine + legacy data bridge + unlimited workflows. Multi-channel voice, SMS, and web agents.

What We Stand On

No Cloud, No Compromise

We do not route your operational data through third-party servers. Every model, every agent, every pipeline runs on hardware you control. Outbound-only encrypted tunnels. Zero inbound firewall changes. If it can't run locally, we don't deploy it.

Open-Source Orchestration

Our stack is inspectable and extensible: Docker, n8n, Ollama, open-source LLMs, Cloudflare Tunnel. No proprietary black boxes. You own the configs, the workflows, and the models. We provide documentation, not vendor lock-in.

Operator-First Design

We don't build dashboards for data scientists. We build platforms for foremen, crew leads, farm managers, and small business owners — people who need AI-powered automation to work without requiring a PhD to operate it.

Transparent Apex Pricing

Apex Core Foundation at $349/month + $795 deployment. Apex Core Fleet at $499/month + $1,295 deployment. No per-seat licensing, no usage-based billing, no surprise invoices.

Apex Core — Now Available

Ready to Put AI to Work on Your Hardware?

Flat monthly rate plus a one-time deployment. Direct access to the platform architect.

No per-seat licensing. No usage-based billing.