
Conway
Conway builds AI systems for autonomous commerce, focusing on agentic commerce, programmable markets, and on-device intelligence. The company's research follows "Underdog's Law," a thesis that frontier AI reaches consumer devices within six months, enabling distributed, real-time decision-making. Its technology integrates megakernels and confidential inference to support secure, scalable autonomous operations across retail and organizational contexts.
- Artificial Intelligence
- Commerce & Shopping
- AI Agents
- Retail Technology
- Software Only
- Robotics
- Cybersecurity
Funding
Funding not disclosed


Founders
Founder details are not available yet.
Product
Problem
Frontier AI capabilities remain concentrated in large, centralized data centers, limiting access for consumer devices and creating bottlenecks in latency, privacy, and cost. This centralization also constrains the development of autonomous systems—such as machine economies and robotics—that require real-time, on-device intelligence and secure, confidential processing.
Solution
Conway develops AI systems for autonomous commerce, focusing on agentic commerce, programmable markets, and on-device intelligence. The company builds technology for machine economies, autonomous organizations, and robotics, with an emphasis on AI security and confidential inference. Its research follows "Underdog's Law," a thesis that today's frontier intelligence reaches consumer devices within six months, enabling distributed, real-time decision-making. Conway's approach integrates megakernels and confidential inference to support secure, scalable autonomous operations across retail and organizational contexts.
Target Audience
Primary customers are enterprises and developers building autonomous commerce platforms, machine economies, and robotics systems that require on-device intelligence and secure AI processing.
Features
- Agentic commerce systems that enable autonomous buying, selling, and negotiation
- Programmable market infrastructure for dynamic, rule-based economic interactions
- On-device AI optimized for consumer hardware, reducing reliance on cloud processing
- Confidential inference technology to protect data during model execution
- Megakernel architecture for high-performance, secure AI computation
- Research and development across robotics and autonomous retail applications