Outside Advisor
Outside eyes on the AI you're shipping.
I advise startup CTOs and engineering leads on edge-AI architecture. Industrial systems, spatial computing, on-device inference. Not automotive.
I advise startup CTOs and engineering leads on edge-AI architecture. Industrial systems, spatial computing, on-device inference. Not automotive.
Both billed by the engagement. A few at a time.
I sit with your team and look at what you're shipping, what you're trying to ship, and what's getting in the way. Useful for build-vs-buy calls, agent architectures, model picks.
VLMs and distilled transformers running on actual edge hardware. Manufacturing inspection, retail computer vision, spatial computing, industrial sensing. Nothing automotive.
Scope. Manifold Stack works only in non-automotive verticals. Typical examples: industrial AI, manufacturing automation, enterprise spatial computing, healthcare AI, edge inference for non-mobility applications.
Out of scope. Nothing automotive. That means no autonomous vehicles, no ADAS, no driver assistance, no robotaxi, no automotive perception, no automotive sensor fusion, no mobility, no fleet autonomy, nothing adjacent. Inquiries in those areas get declined.
Two calls and a short write-up. Where the AI is, where it's going, what's worth doing first.
Model picks, data pipelines, inference strategy, edge plans. A doc your team can actually build from.
Weekly or biweekly sync. Architecture and code review. Whatever's between you and shipping.
15 years of building AI systems. Started in real-time perception at CMU's Robotics Institute. Then sensor-fusion work for Apple's spatial computing stuff. Then perception at Rivian. Manifold Stack is the side advisory practice. Non-automotive only, by design.
View LinkedIn ProfileThings I write about, on my own time. Not a service offering, not an invitation to engage me on these topics.
Send a note. Quick description is fine. I'll reply if it's a fit.