The days of monolithic AI are over.
Most AI is frozen in place - it doesn't adapt.
Around the world, people share the same longing:
AI that adapts to their needs, not the other way around.
It comes through as small cries into the night:
Why have we become elevated prompt engineers?
Today’s AI is expensive, static, and slow to change. A handful of companies build monolithic, one-size-fits-all-models optimized for the average use case.
Averages erase the exceptional. Whether that’s because of your country, language, industry or your pursuit at the edge of what’s possible.
Tools should exist to extend human capability. Instead, we contort. We rephrase. We mould our requests to compensate for AI limitations.
Most models work well until your use case doesn’t fit. Then you’re on your own.
AI as it is:
AI as it should be:
Going beyond brute force scaling
The last decade has been characterized by brute force: larger and larger volumes of compute to build larger and larger monolithic systems.
Intelligence shouldn’t be frozen in training data or updated in slow expensive cycles.
We are betting against scaling, and instead building efficient AI that continually learns.
Where others chase scale, we are building adaptability-first systems.
The way forward:
Intelligence should not arrive preconfigured. People don’t want to prompt AI. People want AI to work for them.
We believe in on-the-fly malleable datasets, gradient free and continual learning. The most intelligent system will increasingly be defined by building an algorithm that can interact with the world.
A new era of extremely efficient intelligence has arrived.
Adaptive DataAdaptive
Data
Data is the foundation of intelligence. We dynamically shape data at scale to target new objectives and rapidly scale quality.
Adaptive Intelligence
We are building the next generation of adaptive intelligence. Evolved for any industry, language or specialization.
Adaptive Interfaces
An innovation hub focused on re-imagining the interface of the human AI interaction.
The future belongs to