Bonipak Produce Deploys OneTrack Agentic AI Across the Enterprise

Bonipak Produce, a fourth-generation grower, shipper, and packer founded in 1932, is supercharging its new analytics team with OneTrack's AiOn, the agentic AI operating system for physical operations. AiOn supports Bonipak's farming, cooling, and transportation operations by consolidating data across separate operating entities through a single autonomous agent. Connecting across standalone data sources, from ERP to fleet data, the AI agent helps leadership move quickly from question to answer to application and automation.

For our production, harvesting, and processing plans to be exceptional, they must be dynamic. To us, OneTrack's agentic solutions will be an exciting next chapter in Bonipak's nearly hundred-year legacy of innovation as we continue to ensure our people have access to the best technology.

Why Bonipak chose AiOn: one platform connected to everything

The Bonipak Family of Companies employs a blend of proprietary and industry software, making the need for cross-system analysis essential. OneTrack AiOn provides a secure and governed surface that teams can use to turn data into action. As a result, the newly established analytics team can leverage the platform to build its own tools, gain deeper insights faster, and develop new skills as they solve challenges across the business.

OneTrack's agentic platform is built with complex enterprise requirements in mind, with institutional-grade governance and permission guardrails at the core to protect critical data. Served from secure inference infrastructure, AiOn is built on large language models from Anthropic, OpenAI, and xAI. Purpose-built context infrastructure ensures the agent learns and adapts to each client's way of operating autonomously, whether with a bespoke calculation of productivity, data understanding, or corporate values.

Altogether, this helps businesses move faster, more precisely, and compress the distance from insight to action.

Feeding data to any off-the-shelf model isn't hard. Trusting the model with your proprietary intelligence is. OneTrack AiOn was purpose-built with institutional-grade governance and security in mind, ensuring the right people have access to the right information to operate at scale.

Delivering value from day one: Bonipak's evaluation speaks for itself

• Gathering business insights and opportunities. Agents help teams draw meaningful insights from complex or fragmented data sources, uncover opportunities, and make more informed business decisions.
• Optimizing the seed-to-sale chain. Agents support the development of interactive maps and dashboards that help teams visualize connections and identify opportunities across operations.
• Farming operations optimization. Across thousands of acres, agents help teams navigate complex farming information, identify patterns, and make stronger decisions for future growing seasons.

The first two use cases

What comes next for Bonipak

The first step was simple: ask a question, get an answer. The second is already here, a team building its own applications on top of the data, developing new skills and solving business challenges rather than waiting on a report. The third is where Bonipak is heading: hand the agent a goal instead of a task and let it determine what needs to be done, creating new opportunities for innovation and growth.

Key Facts

What

Bonipak Produce, a fourth-generation grower, shipper, and packer founded in 1932, is deploying OneTrack's AiOn across the company

Reach

Deployment reaches employees at every level, giving them new ways to solve business challenges and advance their careers

Why now

The Bonipak Family of Companies runs a blend of proprietary and industry software, making cross-system analysis essential

Evaluation

Bonipak evaluated the platform on real operational data in a sandbox and acted on opportunities within hours of the first conversation

Team

A newly established analytics team builds its own tools on the platform

Focus areas

Business insights and opportunity identification, seed-to-sale chain optimization, and farming operations optimization across thousands of acres

Platform

AiOn runs on large language models from Anthropic, OpenAI, and xAI, served from secure inference infrastructure, with institutional-grade governance and permission guardrails

Date

Sept. 10, 2026

Frequently asked questions

What is OneTrack AiOn?

AiOn is OneTrack.AI's agentic AI operating system for physical operations. It consolidates data from a company's systems of record, such as ERP and fleet data, and lets teams build, ask, and automate their own workflows in plain language, with AI agents that act within set permissions and log every action.

What is Bonipak Produce using agentic AI for?

Bonipak is using AiOn to support its farming, cooling, and transportation operations. Its newly established analytics team uses the platform to gather business insights across fragmented data sources, build interactive maps and dashboards across the seed-to-sale chain, and navigate complex farming information across thousands of acres to make stronger decisions for future growing seasons.

Why does a produce company need cross-system analysis?

The Bonipak Family of Companies runs a blend of proprietary and industry software across separate operating entities. Questions that span farming, cooling, and transportation used to require pulling from each system by hand. AiOn connects those standalone data sources so one agent can answer across all of them.

How did Bonipak evaluate AiOn before deploying it?

Bonipak tested the agentic technology on its own real operational data in a sandbox. The team was able to identify and act on opportunities within hours of the first conversation, and the deployment followed from that evaluation.

Which AI models does AiOn run on, and is it secure?

AiOn is built on large language models from Anthropic, OpenAI, and xAI, served from secure inference infrastructure. Institutional-grade governance and permission guardrails sit at the core of the platform, so the right people have access to the right information and critical data stays protected.

How does AiOn adapt to a specific company like Bonipak?

Purpose-built context infrastructure lets the agent learn and adapt to each client's way of operating, whether that is a bespoke calculation of productivity, how the company understands its own data, or its corporate values.

What comes next for Bonipak with agentic AI?

The first step was asking a question and getting an answer. The second, already underway, is a team building its own applications on top of the data. The third is handing the agent a goal instead of a task and letting it determine what needs to be done.