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We’re now testing orchestration across different models for the same requested outcome, and in some cases we’re already seeing over 60% lower costs.
Same task, same quality.
Orchestration is not only about connecting models, compute, regions, and providers. It is also about knowing which model and infrastructure can deliver the same result faster and at a lower cost.
Once compute is economically incentivized, those costs can drop even further. More regional capacity comes online, providers earn because real workloads are routed to them, and every request can be executed through the best available option worldwide.
That is how AI infrastructure becomes cheaper, more distributed, and more efficient.
That’s why we got done the @Incentiv_net MCP SDK, and that’s the reason we are focused heavily on being an AI infrastructure economy rather then just another L1.
Huge congratulations to the @sentdm team on closing their $12M Series A 🤍
They’re building the communication layer for the agentic era, connecting businesses across SMS, WhatsApp and RCS through one API.
we are looking forward for @sentdm to also be part of the orchestration stack we’re building with Corent, giving autonomous agents the ability to communicate and operate across the real world.
typical agent payment onchain is one to ten cents.
now scale that to thousands of tx per day, nobody checks that spend by hand
Incentiv+ is the incentive engine for compute, and the network orchestrates workloads across the entire compute layer.
I’ve been asked why I started building an AI orchestration layer.
Honestly, once I looked deeper into how fragmented models, compute providers, and data centres still are, the opportunity became obvious.
A lot of infrastructure has been built. Very little has been built to make it work together efficiently.
19.8b in fees came out of user wallets last year, across different chains.
every wallet and every builder paid to be there.
not one was paid for being there.
Open models and the orchestration of workloads across the open AI economy.
We have nothing against centralisation. But we believe the AI economy is stronger when compute is distributed, accessible, and orchestrated across open infrastructure.
That’s our conviction, and we’re building towards it.
corently
I don’t think the biggest opportunity is building another AI model. Like i stated before, the opportunity is building the economy around AI.
First comes execution.
Then comes economic participation.
That’s why we’re building the orchestration layer for AI workloads, while @Incentiv_net evolves into the economic layer that powers autonomous participation.