The term ‘Ag Decision Engine’ defines exactly what Everett is and what it is not. Everett is not a conversational assistant that answers questions on demand. It is an active, continuously operating intelligence layer embedded in agricultural operations that:

• Monitors data and operational conditions continuously
• Surfaces ranked recommendations with supporting context before problems escalate
• Orchestrates, evolves, and creates workflows based on what the data is telling it
• Executes approved updates across connected systems once a human approves the action

The key principle: Everett enables the decision. The human makes it.

Everett is fundamentally different from general-purpose AI tools in four key ways:

• Purpose-built domain expertise — Everett carries know-how from across the full agriculture and food supply chain — built in from day one, not layered on via prompting. Generic AI tools have no agricultural context.
• Proactive vs. reactive — Everett monitors continuously and raises its hand before a situation becomes critical. Generic AI tools wait to be asked.
• Operational integration — Everett runs through your operation — not layered on top. It connects to your data and executes approved workflow updates across connected systems. Generic AI tools cannot act on your operational data.
• Data privacy by design — Your data stays within your environment — never shared, never combined with another customer’s data. Generic AI tools often train on or aggregate user data.

Everett is designed around three foundational principles:

• Brave — Everett gives you the information, the context, and the raised hand — so you can act with confidence and make the brave call. The decision is always yours.
• Trusted — Built on decades of partnership with the businesses that run this industry. Your data stays within your environment — never shared, never combined with another customer’s data.
• Decisive — Acts on what the data is telling you — no hesitation, no waiting. Built by the people who pioneered AI in food and agriculture.

Everett’s current capabilities include:

• Detect operational exceptions and alert in real time — Everett monitors continuously and surfaces issues before they cascade, alerting the right person immediately.
• Surface ranked recommendations with context attached — When an issue arises, Everett presents prioritized response options with supporting data and reasoning behind each.
• Execute approved workflow updates across connected systems — Once a user approves a recommendation, Everett pushes the change through to connected operational systems automatically.
• Provide on-demand market intelligence and price forecasting — Users can ask Everett about current market prices, directional outlooks, and scenario analysis.
• Analyze plant fluid movement and processing performance — Everett walks through where losses are occurring and how line recommendations tracked against actual outcomes.
• Explain optimization decisions in plain language — Everett articulates the reasoning behind recommendations so users understand the logic, not just the output.
• Set automated alerts based on thresholds the user defines — Everett can be configured to proactively alert on custom operational thresholds.

Agricultural operators today spend significant time gathering data instead of acting on it. Everett directly addresses this gap:

• Instead of manually pulling reports across systems — Everett surfaces what matters automatically.
• Instead of waiting to spot a problem after it has cascaded — Everett raises its hand before it becomes critical.
• Instead of starting from scratch on each decision — Everett applies built-in expertise to guide every recommendation.
• Instead of using generic AI with no agricultural context — Everett brings purpose-built know-how from day one.

The result: more time for decisions, less time finding data.

Everett is designed as a continuously learning system — described as connective tissue that runs through a customer’s operation. As Everett operates within an environment, it learns from how users act on its recommendations, from ongoing operational data flowing through connected systems, and from the gap between recommended and actual outcomes. This learning happens within the customer’s environment — Everett’s intelligence evolves for that operation without pooling data across customers.

Everett carries know-how across the full agriculture and food supply chain — the only AI built to operate at this breadth and depth. The five domains Everett is designed to serve are:

• Production — On-farm and processing plant intelligence, including yield optimization and operational performance monitoring.
• Procurement — Feed procurement, livestock purchasing, and commodity sourcing workflows.
• Transportation — Routing, scheduling, and logistics optimization across agricultural supply chains.
• Processing — Manufacturing execution, fluid movement analysis, and plant performance optimization.
• Markets & Risk — Market intelligence, price forecasting, scenario analysis, and risk management decision support.

No point-solution competitor touches all five. That breadth of know-how is something no competitor can replicate.

No. This is a foundational design principle of Everett. Your data stays within your environment — it is never shared and never combined with another customer’s data. Everett’s intelligence is built on Ever.Ag’s four decades of domain expertise and your own operational data — not on a pooled data model that aggregates information across the customer base.

Yes. Everett is designed as connective tissue that runs through your operation — not a tool layered on top of it. Everett connects to your data, integrates with your operational systems, and executes approved workflow updates directly into those systems. It is not a standalone dashboard that requires manual data export or re-entry.

This architectural approach is also why Everett gets smarter over time — it learns from your operation’s specific data and workflow patterns, within your environment.

The human always retains decision authority. This is a core design principle of Everett, summarized as: Everett enables the decision. The human makes it.

Everett surfaces information, context, and ranked recommendations — but it does not act autonomously without human approval. Workflow updates are only pushed into connected systems after a user reviews and approves the recommended action. This keeps humans in control while dramatically reducing the time and effort required to make well-informed decisions.

• Cheese Yield Optimization (CYO) — Everett brings real-time plant performance analysis, fluid movement tracking, and recommendation accuracy monitoring to dairy manufacturers.
• Transportation Optimization — Everett monitors routing and scheduling, proactively alerts on disruptions such as plant closures, and surfaces rerouting options ranked by cost and feasibility.
• Sales & Operations Planning (S&OP) — Everett supports demand and supply balancing, market intelligence, and scenario planning within the dairy S&OP workflow.

Ever.Ag Data Labs is the dedicated AI and data science team within Ever.Ag that has pioneered artificial intelligence for food and agriculture. Data Labs built Everett from the ground up, embedding decades of agricultural supply chain expertise directly into the product. The team’s work is built into Everett — meaning customers benefit from domain-specific AI intelligence from the moment they deploy it, not after months of model training.

Three layers of competitive advantage combine to create a moat no competitor can easily replicate:

• The People — Ever.Ag Data Labs has pioneered AI for food and agriculture. That expertise is built directly into Everett — not licensed or acquired from a third party.
• The Breadth — Production. Procurement. Transportation. Processing. Markets & Risk. No other vendor touches all five domains. That coverage means Everett can connect signals across the full value chain — not just optimize a single function.
• The Connective Tissue — Everett runs through a customer’s operation — not layered on top. It gets smarter every step of the way through real operational data and feedback loops that deepen over time.

The agricultural data and supply chain context embedded in Everett took four decades to build. That is not something a new entrant can acquire quickly.

Agriculture has never lacked data. What changed is the technology around it — and what is now possible with that data. As Ever.Ag’s leadership describes it: the technology finally caught up.

Four decades of domain expertise, pioneering data science, and deep customer relationships have positioned Ever.Ag to turn that accumulated know-how into real-time decisions at scale. The opportunity is to take what Ever.Ag has always known about agriculture — and make it instantly actionable at the operational level, every day, for every customer. That is what Everett does.