Autonomous agents🔹Human decisions 🔹Production-grade AI

We build tools and autonomous workflows that ship production AI faster.

Moving from prototype to production with AI is deceptively complex—what works in a notebook often breaks at scale. Most AI projects fail, with teams spending the majority of their time wrestling with surrounding complexities instead of running experiments or building features.

Technical debt accumulates quickly: model drift, versioning conflicts, hidden feedback loops, and cascading dependencies create maintenance nightmares that weren't anticipated during prototyping.

We're solving this two ways:

🛠️ Battle-tested patterns — Production-ready building blocks for prompt engineering, RAG pipelines, evaluation frameworks, and agent architectures.

🤖 Autonomous workflows — Multi-agent systems that research, plan, and build production infrastructure while you approve the decisions that matter.

• Reliability over novelty — Production systems must work consistently, not just impressively
• Human-in-the-loop — Agents execute; engineers decide
• 90/10 reality — Most production AI is validation, monitoring, and error handling—not algorithms

We believe AI should amplify human capability, not replace human judgment. Our approach emphasizes practical solutions that enhance developer productivity and accelerate your path from idea to production.