Building Frontier AI for Federal and Commercial Clients
AppSofa is an AI company that delivers research-backed AI products — from consumer mobile apps to enterprise data intelligence platforms — powered by an NVIDIA GPU research lab and a growing publication record.
Our Mission
“Make powerful AI accessible to every client — from federal agencies to individual consumers.”
Traditional AI development requires months of data engineering, feature building, and model iteration. We shorten that to weeks — by combining frontier research infrastructure with hands-on engineering, so clients get working AI rather than expensive prototypes.
What We Stand For
Research-Backed
Every product and service we build is grounded in active AI research. Our published work in Graph Transformers directly informs our enterprise platform.
Federal-Grade Security
We build AI that meets the security and compliance standards demanded by government clients — and bring the same rigor to commercial engagements.
Enterprise-First
Our solutions are designed for production, not prototypes. We own the full stack from data engineering to model deployment and monitoring.
Consumer-Tested
Our mobile apps are live, used daily, and prove that our AI works in the real world — not just in benchmark papers.
Program Membership
NVIDIA Inception Program
AppSofa is a member of the NVIDIA Inception Program — a program designed to nurture startups revolutionizing industries with AI and data science. Membership provides access to cutting-edge NVIDIA GPU hardware, technical resources, and go-to-market support.
- NVIDIA GPU cluster with 96 GB memory per unit
- Access to NVIDIA technical experts and research resources
- NVLink multi-GPU interconnect for large-scale training
- CUDA / cuDNN optimized computing environment
Published Research
Our lab produces peer-reviewed AI research that feeds directly back into our products and client engagements. Our first published paper introduces RelGT-AC — a graph transformer architecture for relational database prediction tasks.
Explore Research LabarXiv 2606.03040 · 2026
RelGT-AC: A Relational Graph Transformer for Autocomplete Tasks in Relational Databases
Phillip Jiang
Get in Touch
Whether you're interested in our enterprise platform, a federal engagement, or just want to learn more — we'd love to hear from you.