Manifold Stack provides fractional CTO leadership and edge AI architecture for startups shipping autonomous systems, robotics, and spatial computing. We also selectively back the teams we believe in.
Fractional CTO and hands-on edge AI deployment for startups shipping real-world AI products.
Embedded AI leadership for your team. We architect GenAI pipelines, evaluate build-vs-buy decisions, and ship production models, not decks.
We deploy Vision-Language Models on your edge hardware in 8-12 weeks. Run inference on-device without cloud round-trips. From distillation to production.
We invest our own capital and engineering into early-stage Physical AI products.
AI-native SaaS products for industrial verticals that legacy software ignores.
Currently in stealth development.
A structured knowledge layer for robots that need to reason about the physical world.
Currently in stealth development.
We audit your stack, understand your roadmap, and identify where AI delivers the highest ROI.
Model selection, data pipelines, inference strategy, edge deployment plan. A blueprint your team can build on.
We embed with your team to implement, optimize, and deploy. Prototype to production.
We assess the technical thesis, team composition, and market opportunity in Physical AI.
If it's a fit, we invest capital and embed as a technical co-founder, not a passive check-writer.
Architecture reviews, hiring support, and hands-on engineering until the product ships.
15 years shipping self-driving perception and AR/VR systems at CMU Robotics, Apple SPG, and Rivian. Now leading Manifold Stack's advisory practice and venture portfolio, helping Physical AI startups go from research to production through hands-on technical leadership and early-stage investment.
View LinkedIn ProfileWe selectively invest in early-stage companies building AI for the physical world: autonomous systems, industrial robotics, and spatial computing. We bring more than capital: architecture reviews, hands-on engineering, and a network built across CMU Robotics, Apple, and Rivian.
Angel checks into pre-seed and seed Physical AI companies.
Sweat equity through architecture design, prototyping, and technical hiring.
We build internal ventures in verticals where we see gaps legacy software can't fill.
Currently investing from our own balance sheet. No external portfolio yet: we're building our first two products internally before deploying capital externally.
Describe your project. We respond within 24 hours.