# Building Intelligence that Evolves with the World.

### Fundamental innovation to build a new era of intelligence.

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## Rethinking How AI Works

#### We believe the most intelligent system will increasingly be one that interacts with the world. We prioritize efficiency, building systems that interact with the world, and learning in real time. We care deeply about product excellence because that's how we co-design for real-time feedback.

Our algorithmic research focuses on real-time adaptation and efficiency at scale.

### Adaptive compute

### On-the-fly alignment

### Dynamic learning strategies

### Generative interfaces

## Efficiency

#### We are building a company where efficiency isn’t an afterthought, it’s the core principle guiding how our systems are designed, evaluated, and deployed.

Adaptive systems operate under strict limits including latency, memory, cost, and energy. We treat these constraints as first-class design inputs, not downstream considerations.

We co-design algorithms with hardware and serving constraints in mind, exploring new approaches within strict compute budgets.These constraints drive innovation.

## Our Recent Work

Research

### From Zero to Hero: Measuring Dataset Generation Abilities with Zero Seed Data

The research evaluates how well AI systems build training datasets from a description alone, testing Invent API against leading model APIs.

[Read the Paper ](https://www.alphaxiv.org/abs/2609.invent-a-dataset-zero-seed)

Research

### The AI Observatory: A Public Measure of Real-World AI Use

Benchmarks and surveys don't show what AI assistants actually do. That evidence sits in a few proprietary reports. The AI Observatory brings real AI conversations into one public dataset, from seven sources, labeled under one common system.

Read the Paper

Research

### The Slow Death of Scaling

Our work is informed by research questioning the long-term effectiveness of brute-force scaling, including Sara Hooker’s essay, “The Slow Death of Scaling”, which highlights the growing constraints of compute, data, and energy.

[Read the Paper ](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5877662)

Research

### Open-world evaluations for measuring frontier AI capabilities

The case for long, messy, real-world tasks to evaluate AI agents

[Read the Paper ](https://cruxevals.com/open-world-evaluations.pdf)

#### Our Research Recognized

Our team brings together backgrounds in language, video, machine learning, and perception. Collectively, we have authored

150+

#### publications across leading AI conferences.

We are always looking for passionate thinkers and doers to build alongside us.

## Join Us

[See Open Roles](https://adaptionlabs.ai/careers)