Software that ships. AI that holds up in production.

An engineering studio for teams who need the real thing built, not another prototype that collapses.

Three tiers. Each one built to hold up in production.

Agentic AI is the lead because it is the hardest to get right — grounded, guardrailed, and wired into the systems you already run.

Agentic AI

Built to be trusted

Not a bolt-on chatbot. Grounded, guardrailed, auditable AI wired into the systems you already run, with a human in the loop where it counts.

Explore agentic AI

Foundation

Build & ship

Production-grade web and custom software, delivered fast and hardened for real use.

Intelligence

Data & insight

Pipelines, dashboards, and models that turn the data you already have into decisions, not just reports.

See all services

Real builds, shown as they actually stand.

See all work

One has a public repository. The rest are closed-source, client-adjacent builds we can walk you through directly. Status is marked on each.

Minimalist dark vector schematic depicting sales intelligence radar scanning, company scraping, and cited briefing generation

Agentic AIIn development

Sales intelligence briefing agent

Give it a company name and it researches the company the way an analyst would: scraping public sources, cross-checking claims against the page they came from, and streaming its reasoning as it goes instead of returning a static report. Nothing reaches the output without a citation it can point back to.

LangGraph
Pydantic v2
FastAPI + SSE

View repo

Agentic AIClosed-source build

SketchUp MCP

An MCP server over SketchUp's Ruby API: it lets an AI agent read, create, and edit a 3D model in an open SketchUp session through the Model Context Protocol, instead of a human driving every click by hand.

Model Context Protocol
SketchUp Ruby API
3D Automation

Ask us about this

Sentinel-2 satellite imagery depicting wildfire risk analysis, smoke plumes, and thermal risk zone overlays

IntelligenceClosed-source build

Wildfire risk prediction pipeline

Pulls Sentinel-2 satellite imagery from Microsoft's Planetary Computer catalog and turns it into a wildfire risk read for a given region, built to flag the areas worth watching before a fire starts, not after.

Sentinel-2
Planetary Computer
Geospatial ML

Ask us about this

Start small. See real output early.

The MVP sprint is the front door: a contained first engagement that puts a working product in your hands before anything larger is scoped.

01
Intro call
Free, no obligation
A short scoping call. You leave with a clear read on scope, approach, and the fastest route to a working product.
02
MVP sprintStart here
Fixed scope
A short, fixed-scope engagement that ends with a working, deployed product. Real code, real deploy, and the repository is yours from day one.
03
Harden and ship
Production
The prototype becomes secure, maintainable code: tests, CI, observability, and the unglamorous parts that decide whether it survives contact with users.
04
Add intelligence
Ongoing
Agentic AI, RAG, or automation layered in where it earns its place. Grounded, guardrailed, and with a human in the loop where it counts.

Start a project

Let's build the first version.

One message. No long forms, no qualification gauntlet. Tell us what you need and you'll get back the fastest honest path.

Emailhello@ostwindlabs.com Prefer to talkBook an intro call

A real reply from an engineer
Free scoping call
NDA on request