Resources
Guides, answers and tools for deploying AI inside your own cloud.
Insights
- Forward deployment vs consulting vs staff augmentation
How forward deployed engineering, consulting and staff augmentation differ on ownership, where the system runs, timeline and cost, and when each fits.
- How to choose a forward deployment partner
A practical checklist for choosing a forward deployment partner: ownership, security, measurable results, scope, handover, neutrality and red flags.
- AI Implementation Checklist for San Diego Biotech Companies
A practical checklist for San Diego biotech and life science companies preparing to implement AI. Covers data, compliance, infrastructure, and vendors.
- RAG vs Fine-tuning: Which Does Your Business Need?
RAG and fine-tuning solve different problems. Here's a practical framework for deciding which approach is right for your use case.
- Why AI Pilots Fail and How to Deploy AI That Sticks
Most AI pilots never make it to production. Here's why they fail — and the framework we use to deploy AI systems that actually stick.
Tools and references
- FAQ
Forward deployment, private LLMs, secure RAG timelines, agent security.
- Use cases
Short examples by industry.
- ROI calculator
Estimate time savings and payback period.
- AI readiness assessment
Score where your team is today.
- Services
RAG, custom LLMs, agents, automation, audits.
- Partners
OpenAI Select Partner and AWS Partner Network.
Start with one workflow
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