Lean into green AI for better data, predictable costs and a proven ROI.

The challenge is that business leaders are encouraging AI adoption. But this leads to more data centers, higher energy use at data centers running heavy AI loads, higher reportable emissions, and unpredictable costs.

So a standard recommendation from tech and policy leaders is to use ‘green AI.’ But where is this tech and how can it be brought into your company?

The easiest way to get started with green AI is to use a pre-built solution. GLYNT.AI provides this green AI service for sustainability data preparation. Here’s how we do it.

How GLYNT.AI Delivers Green AI

First, GLYNT.AI built its own variant of AI known as ‘Few Shot’ or ‘Geometric’ machine learning. Instead of a single large, general-purpose AI model, GLYNT uses a library of tiny AI models. Each model is very energy efficient. An incoming file is routed to the right model, a technique known as ‘model forwarding’. GLYNT is energy efficient in model forwarding and AI models.

Second, GLYNT.AI does not use LLMs in our production system. Leading LLM tools are used for code development to optimize our data preparation system, for prototyping new features and for one-off projects. But the daily work of sustainability data preparation is done by GLYNT’s proprietary ML and standard coding languages.