Inside Hannah Grey’s AI Operating System
Over the past several months, we have developed and tested our Applied AI Vibrations Operating System throughout the firm’s technical stack. This system enhances our investment process, supports our founders, and amplifies our team’s capabilities. We have integrated over 60 custom agentic workflows into our daily rhythms, each designed to increase our "Speed to Signal." These agents help us cut through the noise and reach conviction faster. By leveraging AI tools, we are building our vision for the future of venture, identifying non-consensus opportunities before the broader market recognizes them.
We began with first principles, leveraging decades of experience in venture, technology, marketing, branding, and company building. However, the velocity of innovation demands more. AI is reshaping every market and lowering the barrier for founders to create category-defining businesses. To keep pace, we needed a system that could scale our acumen and intuition, one that helps us identify emerging trends, anticipate inevitable demand, and provide our founders with a structural advantage.
Each agent is trained to reflect our unique approach, incorporating proprietary research and internal frameworks to evaluate early-stage companies. We assess opportunities across market shifts, behavioral changes, cultural readiness, and founder potential. At the core is our commitment to relentless customer intelligence, mapping demand curves, detecting behavior shifts, and forecasting adoption or market resonance to accelerate product-market fit (PMF). AI amplifies this process by ingesting and interpreting millions of signals in real time.
Where others see noise, we can now see clearer signals. Here are some examples:
Our Foresight Engine analyzes over 3,000 cultural signals alongside proprietary research, from virality and friction to emerging language patterns and unmet needs. We use multi-source triangulation and momentum scoring to surface pre-consensus trends before they enter the mainstream. This enables us to decode the underlying "why" behind emotional and social market drivers. It helps us identify leading indicators of purchase intent, shaping both emerging consumer behavior and enterprise decision making. The system tracks shifts in values, sentiment, platform discourse, and early adoption patterns, while monitoring the speed of these changes over time. This can help us build conviction to distinguish what's a venture scale “movement" vs. a "moment."
Our Persona Resonance Architect models how real people will respond to a product, simulating 1M+ nuanced, synthetic personas across 100+ human traits. It pressure-tests a startup’s value proposition, uncovers hidden friction points, and reveals ICP alignment before any capital is deployed. For founders, this precision unlocks faster adoption pathways and sharpens positioning for product-market resonance.
Our Workforce Insights Architect analyzes real-time behavior patterns across 24M+ synthetic enterprise buyer personas. It quantifies market demand, validates product-market fit, and assesses revenue potential based on real-world needs, urgency, and willingness to pay. It also can pinpoint positioning and messaging most likely to drive adoption and resonate with target ICPs. In addition to supporting our diligence, it gives our portfolio companies visibility into how products/value propositions could perform ahead of launch
These are just a few of the agents we have built to sharpen our investment lens and provide differentiated support for our founders. As a tech-forward firm, we are committed to continually experimenting and improving these workflows over time. Together, Hannah Grey's AI operating system enables us to scale our conviction without sacrificing depth. It provides our team with the resources to engage more deeply with founders, explore more ambitious ideas, and stay focused on the signals that matter most.
The Hannah Grey Team