Tech × Creative Studio
Software & Content
That Ships
We build software, integrate AI and do the R&D on what's coming next - so you can focus on your customers and ship faster.
What We Do
End-to-End Digital Capability
Software Engineering
Custom web & mobile apps, cloud infrastructure, DevOps and performance optimization.
AI & Automation
LLM integrations, local AI setup, agentic workflows and vector pipelines.
Content Creation
Developer docs, SEO blog content, video scripts and technical writing.
Consulting & Strategy
Product road-mapping, MVP planning, codebase audits and content strategy.
Why Studio Cavan
We stay current so you don't have to.
Studio Cavan was built as much for research and development as for client work. We continuously evaluate the tools, models and frameworks that are reshaping how software gets built - so when you work with us, you get the benefit of that without having to do it yourself. We focus on the technology. You focus on the customer problem.
From the Blog
Latest Articles
Your Competitors Are Training AI to Speak for Your Industry
Publishing authoritative content has always built credibility with readers. Now it shapes what AI systems say when someone asks about your field. That's a different kind of leverage, and most businesses haven't caught on yet.
Who Trained Your LLM? The Answer Matters More Than You Think
Frontier AI companies disclose almost nothing about their training data. That opacity has real consequences for how much you can trust what these models tell you - and a compliance reckoning is coming.
On-Device AI Inference: Why the Next Shift Is Already in Your Pocket
AI inference is moving off the cloud and onto the device. A practical guide to Apple Neural Engine, Qualcomm Hexagon, model quantization and how developers can start building with on-device AI today.
CPU vs GPU vs TPU vs NPU: Architecture, History and How to Choose for Your Workload
A practical breakdown of CPU, GPU, TPU and NPU architecture - what each is built for, how they scale, and what actually matters when choosing infrastructure for AI, compute and serverless workloads.
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