About Us

An applied AI research lab

We're a team of ML engineers and researchers based in Texas, working at the intersection of cutting-edge research and practical application.

2020
Founded
Texas
Based In
7
Case Studies
5
Industries

Our Mission

Bridging research and production

The gap between what's possible in AI research and what's deployed in production is enormous. Our mission is to close that gap.

We believe the best AI systems come from deep understanding of both the technology and the problem domain. That's why we combine academic rigor with startup speed, reading the papers and shipping the code.

Our Roots

Texas roots

Based in Texas, we build close to a fast-growing community of engineers and founders. Our team combines academic research roots with hands-on industry engineering experience.

This gives us a unique perspective: we understand both the frontier of research and the realities of enterprise deployment. We speak both languages fluently.

How We Work

Principles that guide our work

Research-Driven

Every solution we build is informed by the latest advances in machine learning research. We read the papers, run the experiments, and implement what works.

Production-First

Research without deployment is just a hobby. We engineer systems that work reliably at scale, with proper monitoring, fallbacks, and maintainability.

Problem-Focused

We don't push technology for technology's sake. We start with business problems and work backwards to the right technical solutions.

True Partnership

We work as an extension of your team, not as outsiders. Knowledge transfer and capability building are part of every engagement.

Our Journey

Building from the ground up

2020

Founded in Texas

Started building software at the intersection of applied AI and interactive engineering.

2021

Visualization & 3D tooling

Shipped early production work in large-scale data visualization and BIM/3D tooling for technical teams.

2022

Systems at scale

Took on backend and infrastructure work — high-throughput transaction engines and knowledge-graph data models.

2023

Applied AI

Put LLMs to work in real domains: semantic search over technical data and AI-assisted engineering tools.

2024

Real-time 3D + agents

Pushed into WebGPU graphics and multi-agent systems, tightening the path from prototype to production.

Let's build

Want to work with us?

Whether you're looking to build AI systems or join our team, we'd love to hear from you.