Atlas Verge AI was built around a single conviction: advanced AI and environmental responsibility are not in conflict — they are inseparable. We research and deploy AI that is efficient by architecture, transparent by practice, and useful by design.
Energy efficiency is engineered at every layer — from training to inference. Not retrofitted, not offset.
We publish openly. Our findings are a public good, not a competitive moat. Science advances when shared.
Our tools are co-creators — built to extend what humans imagine and build, not to replace them.
We operate across the full AI stack — models, infrastructure, analytics, and strategy.
Lightweight language and vision models that achieve state-of-the-art accuracy at a fraction of conventional compute cost.
Carbon-aware, renewable-powered serving infrastructure with dynamic load balancing and real-time energy monitoring.
AI analytics platform helping organizations monitor, forecast, and reduce their operational environmental footprint.
Collaborative R&D partnerships with universities and enterprises at the frontier of energy-aware machine learning.
Developer instruments powered by our efficient model stack — built for designers, scientists, and builders.
Strategic guidance for organizations navigating the transition to responsible, efficient AI — from audit to governance.
COO & Co-Founder
Former ML researcher at DeepMind. Focused on making intelligence leaner and more purposeful.
CAIO & Co-Founder
Systems architect with 10+ years in distributed computing and green infrastructure design.
Whether you're a researcher, investor, enterprise partner, or someone who believes AI should work better for the world — we want to hear from you.
Email us directly: hello@atlasverge.ai