We back founders who share our conviction for deep and thoughtful AI application,
in complex, regulated industries. We go in early and we build alongside them.
The model is table stakes. What matters now is where you apply it and how deep you go.
We back founders who build for one industry and make themselves impossible to remove. The ones parsing contracts, automating compliance, reading medical records, optimizing vessel routes. Not general-purpose. Not adjacent. Inside the workflow.
That's where the moat is. Not in the model. In the depth.
Routing, capacity planning, demand forecasting, supply chain resilience
Maintenance, emissions tracking, vessel routing, operational optimization
Property search, valuation, negotiation, portfolio management
Crop monitoring, yield forecasting, autonomous farm management
Vendor intelligence, dynamic pricing, sourcing optimization
Contract analysis, autonomous legal research, compliance monitoring
Fraud detection, underwriting, compliance automation
Credit scoring, repayment nudging, risk analysis at scale
Patient intake, medical documentation, billing workflows
Personalized health regimens, biomarker-driven interventions
Routing, capacity planning, demand forecasting, supply chain resilience
Maintenance, emissions tracking, vessel routing, operational optimization
Property search, valuation, negotiation, portfolio management
Crop monitoring, yield forecasting, autonomous farm management
Vendor intelligence, dynamic pricing, sourcing optimization
Contract analysis, autonomous legal research, compliance monitoring
Fraud detection, underwriting, compliance automation
Credit scoring, repayment nudging, risk analysis at scale
Patient intake, medical documentation, billing workflows
Personalized health regimens, biomarker-driven interventions
No revenue. No traction. No comparable exit. The spreadsheet says no before the conversation starts.
The domain is unfamiliar. The moat is invisible to outsiders. The risk looks bigger than it is.
The product doesn't exist yet. Conviction required. Data unavailable.
We invest early, often alongside other investors in syndicated rounds, but capital is only one part of what we do. We identify high-potential teams with promising demos but in need of specialized support to scale. We step in not only with capital but also with an approach (architecture) that leverages venture partners' sweat equity.
AI-native products embedded in core workflows, not sitting alongside them
Access to proprietary, domain-specific data that compounds over time
Acute pain points, early buyer intent, or initial customer validation
Intelligence, grit, honesty, and the ability to learn from the market
Most pre-seed funds have one or two generalist partners. We have six venture partners with deep operating experience across supply chain, AI, healthcare, semiconductors, and global expansion. That's not typical. It's what makes the Architectural Partnership work. Every founder gets matched with a partner who's operated in their industry.
Co-founded Charge Ventures — 60+ investments, 3 unicorns including Clay ($5B). Chair at Moveo AI. President at PHAROS, one of 7 EU AI Factories.
Two-time entrepreneur, former SpeedInvest VP. U.S. CPA. Leads deal origination and fund operations.
Former DHL Worldwide Chairman & CEO. 100+ acquisitions, global expansion across 220 countries.
President of Silicon Planet. Two decades in venture development. Exits: Think Silicon, Helic, Vidyo.
Former CEO of Mestro AB (IPO 2021). Chairs Measure & Change Europe AB.
Leads AI research with the top 100 CMOs at MMA Global. Created Possible, one of the largest marketing conferences globally. Former Digitas/Publicis strategist.
Behavioral Neuroscience + Business (Brandeis). Founded ProjectFee fashion-tech initiative.
We're looking for founders who go deep into complex industries and build AI-native products that become the workflow. If that's you, we want to hear from you.