Advancing the science of
AI & physical computing
Our research bridges the gap between AI software and physical hardware — advancing the foundational science that powers the Naslabs marketplace.
Research areas
Six core research tracks pushing the boundaries of what's possible at the intersection of AI and hardware.
Autonomous AI Agents
Advancing multi-agent orchestration, long-horizon planning, and self-improving AI architectures that operate reliably in production environments.
Edge AI Inference
Optimizing neural network inference for resource-constrained edge devices, achieving cloud-level accuracy at a fraction of the compute cost.
IoT Protocol Interoperability
Developing universal abstraction layers that bridge fragmented IoT ecosystems — enabling seamless communication across 200+ device protocols.
Human-Robot Interaction
Researching natural language interfaces for robotic control, reducing the barrier for non-experts to program and deploy robotic systems.
API Intelligence Layer
Building adaptive middleware that intelligently routes, caches, and composes API calls across heterogeneous AI services for optimal cost and latency.
Federated Marketplace Learning
Privacy-preserving collaborative learning across marketplace participants — improving recommendations without centralizing sensitive usage data.
Recent publications
Peer-reviewed research from the Naslabs Research team.
Towards Unified AI-Hardware Marketplaces: Architecture and Challenges
EfficientEdge: Sub-10ms Inference for Vision Models on Embedded Hardware
Protocol-Agnostic IoT Orchestration via Large Language Models
NL2Robot: Natural Language Programming of 6-DOF Robotic Arms
Research with us
We're hiring researchers across AI, robotics, and IoT systems. Help us build the foundational tech for the next era of computing.