AI & LLMs for Businesses: Idea to Production

Have an AI product idea or business feature, but not sure how to move from concept to a live, production-grade deployment? Building AI for businesses requires balancing performance, latency, scalability, and cloud compute costs.

This strategic 1-on-1 session is designed for founders, product owners, and businesses looking to design and deploy AI systems efficiently.

What we will cover:

• Feasibility & Architecture Review: Validating your AI product concept and choosing the right approach (RAG, Agentic workflows, Fine-tuning vs. API).

• Model Selection & Trade-offs: Evaluating closed-source vs. open-weight models based on privacy, speed, and accuracy requirements.

• Hosting & Infrastructure Strategy: Navigating deployment options—from serverless APIs to custom hardware hosting (AWS, GCP, RunPod, Modal, local instances).

• Cost & Scale Optimization: Estimating token costs, inference latency, and strategies to prevent runaway cloud bills.

Bring your product specs or architectural questions, and let’s turn your AI vision into a clear, deployable reality.