BezaCore Labs

Build Better. Build Beyond.

Software, AI, and the infrastructure to run it.

A studio that builds and runs cloud-native software — apps, AI and AI agents, and the infrastructure behind them.

infra · liveagents · runningpipelines · green
bezacore — ship --prod
$ bezacore ship --prod build image ········ done provision infra ····· done wire agents + RAG ··· done live · bezacore.com · 200 OK · 42ms$
buildtestinfradeploylive
Built withNext.js · Django · Google Cloud · Terraform · LangGraph · PrometheusGoogle Cloud ACE · IBM Backend Developer
Under the hood

What building and running actually looks like.

Not a slide deck — the real machinery: pipelines, observability, agents, and infrastructure as code.

observabilitylive
99.98% uptimep95 42ms
deploy

$ bezacore ship

build ok

infra ok

live · 42ms

edge
pipeline

passing · 37 deploys / wk

infrastructure as code
resource "google_cloud_run" "app" {
  service = "bezacore"
  region  = "us-east1"
  scale   = { min = 1, max = 8 }
}

terraform apply · 6 added, 0 changed

agent
Why one studio

Build, ship, and run it — one studio.

Most teams hire a developer, a DevOps person, and someone for AI — then coordinate the gaps between them. Here it’s one studio, accountable from first commit to live traffic.

  • Fixed scope, fixed price — no hourly surprises
  • Running software, not slideware
  • Deployed and observable — not just handed off
  • The code and docs are yours to keep
Accountable studio
1
Capabilities
4
Yours to keep
100%
Pricing
Fixed
What we've built

Real systems, built and run.

The studio designs, builds, deploys, and operates real systems end to end. Here’s a look across the stack — from bare production infrastructure to shipped AI.

BezaForge

infrastructure we run

A homelab run like production — virtualized on Proxmox, provisioned with Terraform, configured with Ansible, monitored, backed up, and recoverable. Infrastructure as code, end to end.

Proxmox · Terraform · Ansible · Docker · Prometheus / Grafana

Brizza

an AI system we shipped

An agent on a live bridge — scheduled jobs, a Discord and dashboard interface, provider fallback, and full tracing so every run is inspectable. AI built and operated, not demoed.

Python · agent runtime · Discord · APScheduler · LangFuse

How it works

Three steps, no mystery.

1

Scope

Tell me the problem. I’ll tell you which package fits and a rough cost — usually within a day.

2

Build

Fixed-scope, fixed-price. You get the running thing — the app, the pipeline, the agent — not a deck.

3

Ship & run

Deployed, observable, and kept healthy — or handed over clean with docs. Your call.

Start a project

Tell me what you’re building.

Describe the problem — I’ll tell you which package fits and a rough cost. No sales call required.