Gilbert, AZ · Available Now
Use Cases
Sales & Services
AI that qualifies inbound leads, answers FAQs, and books meetings — without a human available 24/7.
Finance & Admin
Extract line items from uploaded invoices, match against POs, flag discrepancies — automatically.
Operations & HR
Internal bot that knows your SOPs, policies, and onboarding docs. New hires ask questions, it answers instantly.
Analytics & Reporting
Pull from multiple data sources, generate formatted reports, email to stakeholders — on a schedule, automatically.
E-Commerce & SaaS
AI handles order status, returns policy, account questions — escalates only what it can't resolve.
Media & Content
Tag, categorize, and route incoming content — UGC, support tickets, form submissions — at any volume.
Tech Stack
AI Models
Claude API
OpenAI GPT-4o
Gemini
Local LLMs
Automation
n8n
Custom pipelines
Webhooks
Cron jobs
Vector & Search
Pinecone
pgvector
Supabase AI
Embeddings
Integrations
Slack
Notion
HubSpot
Any REST API
Backend
Laravel
Node.js
Python
Supabase Edge
Infra
Cloudflare Workers
Vercel AI SDK
Docker
VPS
FAQ
Do you use ChatGPT?
We use the underlying models — OpenAI, Anthropic Claude, Google Gemini — via API, not consumer products. This means you're calling the model directly, with full control over the prompt, context, and data.
Is my data used to train AI models?
No. When using API access to models, your data is not used for training. We also structure prompts and data handling to minimize exposure of sensitive business information.
How is this different from Zapier?
Zapier is for simple if/then rules. We build logic that handles edge cases, uses AI to interpret unstructured data, and doesn't break when inputs are messy. Real automation vs. simple triggers.
We're not a tech company. Can we still use this?
That's who this is built for. Contractors, healthcare practices, law firms, real estate teams — businesses that run on repetitive processes. AI doesn't care what industry you're in.
What does a typical project look like?
Discovery call → we map your workflows and identify what to automate → build and test the pipeline → deploy → train your team. Most projects are 3–8 weeks.