Ground for Commerce

Ground (learn more) is an autonomous AI revenue system for modern commerce - built to replace the fragmented growth stack with a single system continuously generating revenue.

Today’s commerce stack is not limited by access to tools or data, but by fragmentation. Systems operate in isolation, each capturing a partial view of the business, requiring human coordination to interpret signals and execute decisions. This introduces latency between intent and action, and constrains how revenue is generated.

Ground collapses this layer entirely.

Built on Yukon's growth ontologies, Ground ingests the full state of a business - its customers, products, channels, behaviors, and infrastructure - and constructs a unified, real-time model of how that business operates and grows. This model does not simply describe the system; it defines the space of possible actions and how those actions propagate into outcomes.

On top of this, Ground applies logic: the strategies, decision frameworks, and growth patterns that govern high-performing systems. These are not static optimizations, but adaptive structures that evolve alongside the business.

From there, Ground executes.

It continuously orchestrates actions across the full surface area of commerce - shaping unit economics, acquisition, lifecycle, experience, and retention as a single, integrated system. Each action is context-aware, dynamically adjusted, and directly tied to revenue generation.

It continuously orchestrates and deploys actions across the entire commerce surface area:

• Unit Economics and Product - dynamically shaping promotions, bundles, and incentives based on user intent

• Acquisition Channels- informing spend allocation, creative direction, and audience strategy

• CRM - triggering and adapting flows across email and SMS in real time

• UX/UI - personalizing landing pages, capture flows, and conversion paths

• Repeat - optimizing post-purchase journeys and reactivation loops

Every action is connected and every decision compounds, feeding context to and from 375M+ monthly behaviors signals.

Unlike traditional stand-alone that require teams to analyze dashboards, form hypotheses, and manually execute A/B tests and optimization, Ground operates as a continuous loop of context, reasoning, and action. It does not wait for human input or retrospective analysis. It acts in real time - shaping the pathways that move users from awareness to conversion to repeat purchase mapping out how a dollar is generated and re-invested.

As it operates, it learns. Outcomes - first-party capture, conversion, LTV, incremental revenue - feed back into the system, refining its understanding of what drives growth. Across a network of brands, these patterns compound, allowing Ground to continuously improve its precision and performance.

• From fragmented tools → to unified systems

• From observation → to execution

• From manual workflows → to autonomous growth

Ground transforms commerce from a function managed by teams into a system that runs itself - continuously, adaptively, and at scale.

Already deployed with leading consumer brands across all categories (health & wellness, beauty, food & beverage, home & decor apparel, and fitness) like Glossier, Mary Ruth’s Organics, and goop, Ground is driving meaningful incremental top-line growth - often contributing 5–10%+ of total revenue - by automating the execution layer that traditional stacks cannot reach.

With Ground, AI and humans work together to automate more and more of the business over time. Humans define direction, constraints, and ambition. Ground handles execution. The faster a company can move from insight to action, the more value it captures. The goal is not to automate tools but to automate the company. Ground compresses that timeline to zero.