Cadence Labs is a research and applied AI company building the foundational intelligence layer for hardware, robotics, IoT, and next-generation frontier systems.
We work at the intersection of physical and digital intelligence — where bytes meet atoms.
Building scaleable intelligence layers for connected device ecosystems. From sensor mesh networks to distributed edge inference, we develop the protocols and models that make billions of devices smarter.
Custom chip design and AI hardware acceleration research. We explore neuromorphic architectures, in-memory computing, and purpose-built silicon for next-generation inference workloads.
End-to-end intelligence for physical systems. Perception, planning, and execution pipelines that let robots understand and act in complex real-world environments with minimal human oversight.
The future of compute is domain-specific. We research memory hierarchies, dataflow architectures, and photonic computing that will power the next decade of AI workloads at scale and efficiency.
Foundational model research with a bias toward deployment. We develop fine-tuning methodologies, RLHF frameworks, and efficient inference techniques for domain-specific AI applications.
The reliability science of AI in production. Our flagship product SEER emerged from this research — building the tooling and methodologies that make AI systems trustworthy at scale.
We refuse the false choice between rigorous science and useful product. Every research thread ends in something deployable.
We spend significant time upstream — mapping failure modes in existing systems, interviewing practitioners, and identifying the root constraints that have blocked progress. The question matters as much as the answer.
Hardware problems inform software solutions. AI techniques unlock new hardware possibilities. We deliberately work across the full stack — from transistors to tokens — because breakthroughs live at the intersections.
Every research thread has a deployment target. We don't publish and wait — we instrument, ship, measure, and iterate. Our academic rigour is in service of real-world impact, not citation counts.
We partner with universities, hardware manufacturers, and early-stage companies to accelerate the work. Cadence Labs is a platform for frontier builders, not an ivory tower.
Actively accepting research partnerships, collaborations, and early-access pilot programmes across all six domains.
Our product portfolio is a direct expression of our research — tools we built because nothing good enough existed.
One API. Complete AI Clarity.
Born from our AI Systems & Observability research, SEER is a single API that gives any AI-powered product complete observability, automated quality evaluation, and prescriptive intelligence — replacing 4–6 fragmented tools with one clean integration.
Explore SEER →Inference at the boundary.
A lightweight inference runtime optimised for heterogeneous edge hardware — ARM, RISC-V, and custom NPUs. Enables real-time ML at the device layer without cloud dependency, built for IoT and robotics deployments where connectivity cannot be assumed.
Join Waitlist →We work on fewer problems, more deeply. Shallow breadth produces shallow answers. We go to the bedrock.
Where we can, we publish. The hardest problems get solved faster when the best minds can engage with the full picture.
A working prototype in the world teaches you things a perfect paper never can. We ship early and learn fast.
Technology problems are social, economic, and physical problems too. We account for the full system, not just the algorithm.