AI integrations, data engineering, and enterprise infrastructure — built by engineers who ship production systems, not pitch decks.
Most companies know they need to do something with AI. The hard part is knowing what's real, what's hype, and who can actually build it.
New AI tools launch every week — LLMs, agents, RAG, MCP. You need a guide who can cut through the noise and tell you what actually applies to your business.
Your current IT provider handles the basics. But when you ask about AI integration or custom automation, they don't have the answer.
You have data, processes, and ideas — but no clear path from "we should use AI" to something running in production and generating value.
We bridge the space between AI capabilities and the systems they run on — so you're not juggling three vendors to get one thing working.
We build the systems that put AI to work — LLM-powered tools, RAG pipelines for your documents, MCP servers that connect AI to your existing software, and custom APIs that tie it all together.
Data warehouses, ML pipelines, ETL systems, and BI tooling. If your data is scattered across systems and nobody can get a straight answer out of it, that's what we fix.
Enterprise networking, cloud migration, security audits, and managed services. AI is only as good as the foundation it runs on — we make sure yours is solid.
Before launching Stone Bird, our team built production AI systems that moved the needle — measurably.
For a mid-size e-commerce company, we designed and deployed an LLM-powered product content system from scratch — data warehouse, ML models, production pipelines, the entire stack.
The result: $3M in directly attributable new revenue, with architecture designed to scale across the full catalog to $30M. Not a proof of concept. Production revenue, measured and proven.
We're a new company, but we're not new to this work.
We work best with companies that have real operations, real data, and a real desire to put AI to use — not just talk about it.
15 minutes, no obligations. Tell us what you're working with and we'll tell you honestly whether we can help.
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