[abhishekbasu]

Developing LogiModel AI (https://www.logimodel.com/) which is an agentic supply chain optimization engine that forecasts demand, optimizes operations, and simulates scenarios to reduce costs while keeping your network reliable and customers satisfied. It integrates seamlessly with your ERP and document repositories to learn your business context, then acts as an intelligent decision engine, freeing you to focus on strategy while it handles execution.

Always interested in possibilities of LLMs interfacing with MIP solvers.

[abhishekbasu]

Also, this was a quick fun project for a multi-agent flow https://flickfeast.party/

[adrianwaj]

Big market. Good luck with that. How will it be hosted? Who will implement it?

Would you follow the Red Hat business model? https://gemini.google.com/share/2825b8ff67d6

Part open / part paid closed-source? Fully open and charge on consulting/customization?

How will you stop LLMs from recreating it?

[abhishekbasu]

Hosted on premise for enterprise, VPC for mid market customers. For enterprise customers, FDE model makes most sense for a product like this and they would assist with implementation and training. For mid market customers, I'm still exploring options to make it cost effective.

For domain-specific optimization, the value is in the solver integrations, specific constraints that form the seed, and the modular simulation that powers the visuals. The software is monetized, not the services around it.

> How will you stop LLMs from recreating it? Having worked this space for a while now I think there are two ways to ensure reliability (the real moat here), first is going deep into five-six problems that are complex enough that out of box solutions/simple prompting don't work well. Second, tightly coupling a simulator to provide rapid feedback that actually helps change manage and solve the "people" problem when optimizing operations.