Common Questions

My AI systems run entirely on your local infrastructure or private servers. This means your sensitive data never leaves your organization - no uploads to third-party services, no cloud dependencies, and complete control over your information. All processing happens on-device using local LLMs like Llama or Mistral.

While cloud models like GPT-4 excel in general knowledge tasks, local systems offer compelling advantages: zero data leakage, predictable costs, offline capability, and customization for specific workflows. For many enterprise use cases, the privacy and control benefits outweigh the performance trade-offs.

For most business applications, a modern machine with 16-32GB RAM and a decent GPU works well. I've successfully deployed systems on M-series Macs, NVIDIA RTX cards, and even CPU-only setups. The key is matching the model size to your hardware and use case requirements.

Implementation timelines vary based on complexity. Simple document Q&A systems can be deployed in 1-2 weeks, while custom workflow automation might take 4-8 weeks. The advantage is that once deployed, you have complete ownership and control.

Absolutely. Local systems are highly adaptable - you can update models, retrain on your specific data, adjust prompts, and modify workflows without vendor dependencies. This flexibility often makes them more valuable long-term than cloud solutions.

Healthcare, finance, legal, and any industry handling sensitive information see immediate value. But I've also worked with product teams, research organizations, and startups who want AI capabilities without data risk or ongoing subscription costs.

I implement evaluation frameworks, testing workflows, and quality checks tailored to your specific use case. This includes prompt engineering, output validation, and continuous monitoring to ensure consistent, reliable results.

I provide documentation, training for your team, and guidance on maintenance and updates. The goal is to make you self-sufficient while being available for consultation on expansions or optimizations.