Research
From Academic Ideas to Working Systems
We’re obsessed with the conversion point: the moment an academic AI idea becomes applied technological reality. This is a fascinating field where the venn diagram between research, engineering, and business logic overlap.
Our research about understanding that sweet spot where theory meets practice.
AI Enabled Deep Learning
AI does a great job of demorcatizing deep research like it does other tasks, greatly accelerating the pace and depth of discovery and enabling our burning desire to learn more.
How Do Things Connect?
This is, perhaps, the only real question we've ever asked. Everything is connected in some way. Finding that unifying principle is at the core of everything we do.
How Can We Apply What We Have Learned?
Artificial Intelligence is pretty neat. (What it REALLY needs is centralized and connected data.) Many of our insights are immediately applicable to real-world problems, allowing us to turn theoretical knowledge into practical solutions.
Interested in private research? We share what we can publicly. Some work stays private until clients are safe to copy it.
How we think about it
Artificial Intelligence is a fascinating field that sits at the intersection of research, engineering, and business logic.
What this means
- • Frontier academic research at leading institutions can become 'bleeding edge technological application' with remarkable speed.
- • Being a part of the global conversation is key to creating stable and reliable AI systems that can communicate globally.
- • From Model Context Protocol (MCP), to Shared Skills, this is truly a global effort.
Research threads
Research Currently in Rotation
These are the main bridges we’re building right now—concrete ways to translate AI capability into operational value.
We’re polishing the next batch of briefings. Tell us what you’re building and we’ll share the first PDFs with you.
Where to Explore
If you want the short version, start with a Tiny Seed. If you want receipts, browse the case studies. If you want the thinking, read the Field Papers—where we document patterns for getting data and workflows into a shape AI can actually use.
