Problems & Solutions

The Challenge

AI is full of potential, but most people still find it hard to access. They face complicated tools, high costs, and steep learning curves. Even those with ideas and data often struggle to turn them into real AI solutions. The result is a growing gap between what is possible with AI and what most teams can actually build.

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Common Problems

Too technical Most AI platforms require coding skills, model knowledge, and infrastructure setup.

Too expensive Training or running models at scale often means high cloud bills and unpredictable costs.

Too complex to launch Even after building a model, turning it into a usable product or service takes time, integrations, and maintenance.

No clear way to monetize Many teams do not know how to earn from what they build, or how to share it with others.

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How DeltaEngine Solves It

No-code customization With Delta Lab, anyone can build, fine-tune, and test AI flows using a simple visual interface. No coding needed.

Affordable compute at scale Delta Engine connects to a decentralized GPU network to give you lower-cost compute on demand. You only pay for what you use.

Instant deployment and sharing Your models can be published directly from Delta Lab to Delta Flow. Others can use them through a simple interface or API.

Built-in monetization Set pricing for your models and Flows. Earn whenever someone uses your work.