Case Study

Accelerating Predictive Seed Design with DISQOVER

Cutting data preparation time for target evaluation by over 50% with DISQOVER

Industry
Agricultural Biotechnology

Location
Global

Our customer is a pioneering agricultural biotech firm that leverages AI-powered predictive design and gene editing tools to create sustainable, high-performing seeds.

Use cases

Data integration

The challenge

The customer's mission is to design high-performing seeds with minimal environmental impact. This requires rapid, accurate identification of gene targets for editing. However, achieving this at scale involves:

Navigating massive genomic and phenotypic datasets.
Linking heterogeneous internal and public data sources (genomic, expression, ontologies, patents, field results).
Avoiding redundant experiments due to siloed information in ELNs and legacy systems.
Managing the high stakes of field trials where seasonal constraints leave little room for error.

"Gaining time back while still maintaining accuracy is crucial when working with growing seasons. Every year that something goes wrong is a year lost. That's why being predictive is critical." - Project Lead

The solution

The customer implemented DISQOVER as the central platform for integrating and querying diverse R&D, multi-modal data through a semantic knowledge graph. This included:

Knowledge graph construction

Connected genes, traits, expression data, and other sources.
Mapped cross-species gene orthologs to enable translational insights.
Integrated proprietary experimental data and field trials.

Two DISQOVER instances

Science: For internal R&D, an instance focused on gene-trait discovery and molecular insights.
Plant: Field-focused instance for breeding lineage and performance

The outcome

Accelerated gene assessments

Researchers can instantly assess whether a gene has been studied, edited, or associated with target traits. Genes can then be expedited if necessary.
Avoids redundant work by surfacing past internal experiments and related genes (e.g., co-expression partners).

Improved predictive design

Linking field, genotype, and phenotype data enabled more accurate predictions of which alleles to edit for specific outcomes.

Frictionless data navigation

Consolidated search experience through DISQOVER reduces the need for multiple tools to search across data.
Seamless integration with the customer's existing data ecosystem enabling direct access from metadata search through to versioned raw datasets.

Benefits

Accelerated gene assessment

Researchers instantly assess whether a gene has been studied, edited, or linked to target traits to expedite decisions and eliminate redundant experiments.

Improved predictive design

Linking field, genotype, and phenotype data enables more accurate predictions of which alleles to edit for specific agronomic outcomes.

Frictionless data navigation

A consolidated search experience replaces multiple siloed tools, with seamless access from metadata search through to versioned raw datasets.

In agriculture, a lost season is a lost year. DISQOVER drives predictive power to get it right the first time — connecting genomic, field, and experimental data for faster, more confident decisions when it matters most.