A constellation of production AI systems StacX24 has built
4 case studies · shipped to production

Work that shipped — and stayed up.

Production AI systems we've built, deployed, and kept running for real teams — from autonomous agents to RAG, IoT data backbones, and full-stack products. Here's what we solve, and the work that proves it.

What we solve

01

AI Agents & Automation

Autonomous agents that take real work off your team — research, reporting, ops — and run it reliably in production.

02

RAG & Knowledge

Retrieval systems your team actually trusts: grounded answers with citations, not confident hallucinations.

03

IoT & Data Pipelines

Sensor-to-dashboard backbones that move data reliably from the edge to the decisions that depend on it.

04

Full-Stack & Search

Production web products — directories, dashboards, search — engineered to rank, scale, and convert.

The proof

Cutting a PR agency's reporting from days to minutes — cover
AI AgentsTechnical SEOContent AutomationDigital PR

How a PR agency scaled SEO and content with 30+ AI agents

A mid-size PR agency runs 30+ production AI agents — technical SEO, PR research, content at scale, and three niche directories — on a self-hosted runtime.

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A real-estate directory that ranks itself — cover
Full-StackSearch

A real-estate directory that ranks itself

Search, enrichment, and ranking across thousands of listings — built to stay fast and accurate as the catalogue grows.

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Sensor-to-dashboard for vertical farming — cover
IoTData Pipeline

Sensor-to-dashboard for vertical farming

A production ingestion pipeline — Raspberry Pi over mTLS, FastAPI, Postgres — feeding live dashboards and an assistant.

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A RAG assistant teams actually trust — cover
RAGAI Engineering

A RAG assistant teams actually trust

Grounded answers with citations, evals to keep them honest, and observability so drift gets caught before users do.

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