Production-grade AI. Engineered, not assembled.
We build AI systems that hold up in production — agentic workflows, document intelligence, and integration engineering for teams that need substance over slides.
What We Build
Long-running agents, multi-step orchestration, tool execution, and autonomous operations. Systems that do real work, not demos.
Embedding AI capabilities into existing products and workflows. We work with what you have, not a greenfield fantasy.
Extracting structured data from unstructured documents at scale. OCR, classification, entity extraction, and validation pipelines.
Architecture review, build-vs-buy decisions, production readiness. Senior engineering perspective on your timeline.
Founder
Maven means expert. Craft means giving a damn about how it's built.
I'm an engineer who cares about the boring parts — error handling, evaluation pipelines, graceful degradation, the 3 AM edge case nobody thought about. My production work spans agentic workflows that run autonomously for days, document intelligence systems processing thousands of pages, and the observability infrastructure that keeps it all honest.
I started Mavencraft because I kept seeing the same pattern: companies build AI demos that work beautifully in a meeting, then wonder why they fall apart in production. The answer is almost always engineering discipline — the same discipline that makes any software reliable. AI isn't magic. It's software. Build it like software.
No forms. No sales calls. Just an email describing what you need and I'll tell you honestly if I can help.
contact@mavencraft.dev