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How we build

Production systems, not demos.

These are the stacks behind our builds — layered the same way every time, chosen because we can defend every piece on a call, and wired to move a real number. The architecture is public; the way we make it sing is the part you hire us for.

Layered the same way, every build Outcome-first — a number, not a tool list Governed — RLS, auth, secrets handled right Defensible — no stack we can't stand behind
01 · REAL-TIME VOICE

Real-time AI voice agents

A voice agent that answers, qualifies, routes, and books in real time — inbound handled 24/7, so a lead never hits voicemail and follow-up starts in seconds, not the next business day.

Frontend
Next.js 14 on Vercel
Voice
Retell AI (real-time speech)
Telephony
Twilio
Data & Auth
Supabase (RLS)
Maps / Geo
Mapbox
Payments
Stripe
Email
Resend
What it proves

We can stand up a production voice AI that carries a live conversation end to end — answer, route, book — not a notebook that only works on stage.

02 · AI-NATIVE SAAS

AI-native SaaS platforms

Full LLM-powered products, end to end — including billing, auth, and lifecycle. Not a wrapper around a chat box: a real application people log into, pay for, and rely on.

Frontend
Next.js / Vite
API
Express
AI
Anthropic (Claude)
Data & Auth
Supabase (RLS)
Payments
Stripe
Lifecycle
Kit (email capture & nurture)
Infra
Vercel
What it proves

We ship our own software — the "we build products, not slide decks" credibility, billing and lifecycle included.

03 · CRM & REVOPS

Intelligent CRM & RevOps automation

Revenue operations that run themselves — and when the no-code tools hit a wall, we write the code and pipe it back in. That handoff is the difference between an automation that half-works and one you can trust.

Core
HubSpot API
Orchestration
Make / Zapier + custom webhooks
Logic
Python workers / custom actions
Data
Airtable + Supabase
Alerts
Slack
Email
Resend / Kit
What it proves

Our differentiator: we don't stop where the drag-and-drop tools stop. When native automation runs out, we build the missing piece.

04 · RETRIEVAL (RAG)

Retrieval-augmented AI over private data

AI that answers accurately from a client's own knowledge base — cited, grounded, and honest about what it doesn't know. The single highest-value pattern in the market right now.

Ingestion
Python document processing
Vector store
Supabase (pgvector)
AI
Anthropic / OpenAI
App
Next.js on Vercel
Auth & Data
Supabase (RLS)
What it proves

We can turn a client's documents into instant, trustworthy answers — retrieval built for accuracy, not vibes.

05 · LEAD ENGINE

Signal-based lead engine

A working acquisition system — sourcing, enrichment, scoring, and nurture running continuously in the background. We don't just advise on pipeline; we operate one.

Sourcing
Apollo + LinkedIn Sales Navigator
CRM
HubSpot
Scoring
custom Python enrichment
Nurture
Kit
Data
Supabase
What it proves

We run a real, signal-driven acquisition system — exactly the growth machine a scaling company wants to buy.

Built to a reliability standard.

Depth is only half the job. Every build ships with the governance mid-market buyers now screen for — before they'll put you near their data.

Row-level security & auth

Supabase RLS and real auth on every data layer — data is isolated per client, not shared in one bucket.

Secrets handled right

Keys live in environment vaults, never in code or the browser. Server-side calls only for anything sensitive.

You own it

Everything we build is yours — your accounts, your repos, your data. No black boxes, no lock-in.

Monitored & maintained

We instrument what we ship and keep it healthy — graceful fallbacks so a demo never dead-ends in front of a customer.

Your build, next

Have something in mind on one of these stacks?

Tell us the problem — we'll map the architecture and show you exactly how we'd build it, live on a call.