Toptal helps agriculture technology company standardize AI agent development.

An agriculture technology company partnered with Toptal to create shared software development kits (SDK) that helps internal teams build and deploy AI agents without assembling their own technology stacks.

Client

A Switzerland-based agricultural science company providing crop protection and seed products worldwide.

Employees

30,000+

Revenue

$17B

Industry

Industrials

Delivered Services

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Challenge

AI agents were being developed independently across the organization, forcing teams to repeatedly build their own infrastructure and interfaces. The fragmented approach also limited interoperability and visibility into AI costs.

Solution

Shared Agent Foundation

Toptal implemented a Python SDK with built-in orchestration, memory, tool access, and model routing, using open protocols to support interoperability between agents developed by different teams.

Reusable Development Tools

A TypeScript and React component SDK standardized the UI layer, while a CLI enabled teams to scaffold and deploy agents to AWS without rebuilding core functionality for each project.

Outcome

Faster Agent Deployment

Toptal’s shared Agents SDK gave teams core AI infrastructure out of the box, eliminating the need to assemble a new stack for each agent and enabling the team to build and deploy a working agent to AWS from scratch during a live demo.

Centralized AI Oversight

Built-in telemetry and centralized model access gave the company greater visibility into usage and costs while establishing consistent governance across AI initiatives.

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