How Cropin delivers global, self-service AgTech embedded analytics at scale

Building a global, data-driven agriculture platform

Cropin is a global leader in AI-driven Agriculture Technology (aka AgTech), delivering a cloud-based platform that helps their customers, which include the world’s leading CPG, food retail, and food processing companies, as well as the entire Mexican government, digitize farming operations and improve productivity, sustainability, and risk management. 

Operating on a significant scale, Cropin analyzes billions of acres of farmland and supports millions of farmers and enterprises across more than 100 countries. Its customers span global enterprises, development agencies, governments, and agricultural customers, including Walmart, PepsiCo, BASF, and FIRA (Mexican government institution). 

To support this scale and continue innovating, Cropin needed an analytics experience that could evolve alongside its platform and deliver value directly within its product.

Rebuilding analytics for product-led AgTech

Before Sisense, Cropin relied on a combination of Jasper Reports for visualization and Talend for ETL. These tools were not integrated into their product, and they required separate teams and workflows to deliver analytics to customers. Prakhyath Hegde, CTO/Head of Engineering, Product, and AiLabs at Cropin, said, “Before Sisense, every request had to go through [our team], and it was a long process involving multiple teams.”

This approach created operational and product challenges:

• Disconnected user experience: Analytics existed outside the core Cropin platform
• Time to insight: Report delivery took 3 to 6 weeks
• High resource dependency: A team of 10 to 12 engineers supported reporting workflows
• Centralized bottlenecks: Every request required business analysts and engineering intervention

As Cropin built its new platform, Cropin Cloud,  and modernized its architecture to a microservices-based, cloud-native platform, it became clear that its analytics layer needed to evolve as well. Thus, the search for an analytics partner began.

Choosing a scalable embedded analytics platform

Cropin evaluated several analytics solutions, including Power BI, Tableau, and Qlik, with a set of non-negotiable requirements: scalability without adding headcount, seamless embedding, multi-tenancy, and customizability for the flexibility to automate analytics options for unique customers in different geographic locations, and faster development cycles.

Sisense stood out on all counts, and especially because it enabled Cropin to build analytics as part of its product experience, not as a separate layer.

With flexible APIs and SDKs, Sisense allowed Cropin to embed analytics directly into Cropin Cloud, creating a unified and intuitive experience for their customers, the end-users.

Hegde said, “Sisense gave us a way to scale as a product. We are now able to scale our business without needing additional headcount.” The Sisense elastic data capabilities (ElastiCube) and automated pipelines simplified data modeling and enabled faster iteration, helping Cropin move from manual processes to a scalable, product-led approach to analytics.

Transforming analytics into a scalable product capability

With Sisense, Cropin transformed analytics into a core part of its one platform experience, replacing multiple platforms. To customers, it became part of the product experience.

Predicting crop risk from rainfall variability: This Sisense-powered dashboard allows Cropin’s clients to visualize precipitation forecasts and crop stress levels across granular grids in an intuitive and efficient manner, enabling proactive management of climate risks.

Embedded, white-labeled analytics that feel native

Cropin used Sisense embedding capabilities, including JavaScript-based embedding and Compose SDK, to integrate analytics directly into Cropin Cloud. This created a seamless, fully white-labeled experience in which dashboards and insights appear as a natural part of the product, not a separate BI tool. 

For Cropin’s customers, this means a more intuitive, in-context experience that drives adoption and engagement.

Tailored and interactive with Compose SDK, plus strong support

Using Sisense Compose SDK, Cropin built tailored, interactive analytics components that align with its product workflows. This allowed the team to go beyond standard dashboards and create rich, contextual data experiences embedded throughout the platform. 

The result is a more engaging and differentiated user experience that supports decision-making directly within the application. Hegde said, “We created custom visualizations and embedded them into our platform, delivering a seamless and intuitive experience within Cropin Cloud.”

In addition, Hegde cites comprehensive Sisense documentation and helpful Sisense support. “The Sisense documentation was very detailed, and the support team was extremely strong technically. Whenever we needed help, they were able to identify the root cause and resolve it quickly.”

Self-service analytics eliminates report wait times

Cropin enabled customers to build their own reports through the Sisense Designer user role, which in effect allows for developer-level access, reducing reliance on internal teams and aligning with a more scalable, self-service model. Hegde said: 

Faster delivery for customers requesting reports

For customers choosing to request reports, report turnaround times improved from 3 to 6 weeks to 1 to 2 week sprint cycles, with teams now operating on weekly release cycles. Hegde said, “Now our sprint cycle is one week, instead of six. We can iterate much faster and deliver continuously.”

Forecasting production at risk: This Sisense-powered dashboard brings together daily shifts in production risk across multiple climate stress factors into a clear, easy-to-understand view, helping stakeholders act faster and minimize losses.

Multi-tenancy built for global scale

Sisense multi-tenancy capabilities allowed Cropin to support multiple customers, geographies, and use cases within a single, scalable architecture. This was critical for a platform serving diverse stakeholders, which range from governments to global enterprises, each with unique data structures and requirements. 

Multi-tenancy enables Cropin to scale efficiently without duplicating infrastructure or increasing operational complexity. Hegde said, “We needed clear multi-tenancy separations and the ability to support different customers and geographies—that was non-negotiable for us.”

Automated client onboarding

Hegde said, “We wanted the ability to automate setups for different customers and geographies, and Sisense gives us that.” Sisense enables Cropin to automate the setup and configuration of analytics environments for new customers across different regions and use cases. This significantly reduces the manual effort required to onboard customers and ensures a consistent, scalable approach to deploying analytics globally. As a result, Cropin accelerates time to value while maintaining a lean team.

Governance and security for Cropin’s growth trajectory

Sisense introduced role-level data security for managing various organizational hierarchies. Cropin manages complex data permissions across farmers, enterprises, and global stakeholders, ensuring secure and relevant data access for every user. Hegde said, “The role-level data security is very helpful for us, and we use it widely. We now have customizable options for data visibility, from farmer to operations manager to county manager, up to executives who use the platform to make different kinds of decisions from the farmers. Each role can see the data that’s relevant to them. Our customers love this feature as well.”

Elastic data models for performance and flexibility

Hegde said, “Sisense ElastiCubes were one of the key features for us. They gave us the flexibility and performance we needed for our analytics.” With Sisense Elasticubes, Cropin gained the ability to model and process large-scale agricultural datasets with speed and flexibility. 

The data models allow teams to pre-aggregate and structure complex data efficiently, supporting faster queries and enabling rapid iteration on analytics use cases. This is essential for handling the scale and variability of global agricultural data. 

Live data connectivity for up-to-date insights

The ability to connect directly to live data sources within Sisense enabled Cropin to deliver timely, up-to-date insights without relying solely on batch processing. This flexibility allowed Cropin to choose the right approach for different use cases, balancing performance with freshness, while simplifying its data architecture. Hegde said, “With live cubes, we can connect directly to databases and enable live analytics when needed.”

Growing the company without growing headcount

By automating data pipelines and simplifying workflows, Cropin eliminated the need to grow its analytics team, enabling the company to stay lean while expanding globally. Hegde said, “As a growth-stage company with global operations, it is important for us to scale our service delivery efficiently without significantly expanding team size.”

By partnering with Sisense, Cropin built a scalable analytics foundation that accelerates time to value, reduces complexity, and empowers users with actionable insights.

Driving impact today and planning for what’s next

Today, Sisense powers embedded analytics across Cropin’s global platform. For Cropin’s customers, this means faster insights and improved end-user experiences. For Cropin’s business, it translates to operational efficiency and scalable, higher-margin growth.

Cropin is now exploring additional Sisense capabilities to further enhance its analytics experience, with Hegde saying, “We are looking forward to using Sisense Intelligence capabilities to build reports using natural language queries.”

This includes:

• Natural language querying and GenAI-powered analytics to make insights more accessible to non-technical users
• Web access tokens to extend dashboards beyond the core platform and into customer environments