Connect breeding intent to commercial seed performance.

Create one digital thread across trials, multiplication, field execution, phenotyping, disease intelligence, quality and inventory so seed teams can act earlier across a distributed production network.

Explore seed intelligence

OrbitAISeed Intelligence Agent

QUESTION

“Which varieties, production lots and locations are most likely to miss volume or quality targets, and what should the seed team inspect next?”

GROUNDvariety + lot contextphenotype + disease evidencecrop stage + yield outlook

REASONSeed Intelligence Agentverified evidence + domain models

ACTprioritize inspectionsprotect seed qualityrebalance production

Illustrative OrbitAI agent workflow

Decisions improved

Start with the operating decision.

Plan multiplication accurately
Compare variety performance
Protect seed quality
Connect production to demand

Ask which varieties, lots and locations need attention.

OrbitAI brings production-plan context together with field observations, vision-based traits, crop progression, disease and climate evidence, then explains the next inspection or production action.

ASK ORBITAI
“Review this sunflower seed-production image and the related field history. Identify the likely disease or stress, show the supporting evidence and recommend the next verification step.”

01
Interpret image evidence
02
Connect field and variety context
03
Recommend expert verification

OrbitAI sunflower seed disease analysis with supporting evidence — Seed Intelligence Agent in OrbitAI: sunflower disease analysis with the supporting evidence

See the seed production system from plot to portfolio.

Start with the live plot workspace, then move through crop progression, measurable traits, disease evidence and production outlook. Each view connects field execution to a decision.

Cropin platform plot dashboard for seed production

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Plot workspace

Start with every production plot in one operating view.

Open plot boundaries, crop and variety context, field status, tasks and observations in the platform before moving into deeper intelligence.

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Operating path

How teams put it into operation.

01
Digitize the production plan
Connect varieties, growers, plots, target volume, field protocols and quality gates in one operating context.
02
Verify execution and performance
Capture field evidence, phenotypes, crop progression, disease pressure and expected yield throughout the season.
03
Close the planning loop
Use production intelligence to adjust allocation, processing, inventory and the next-season portfolio.

Data, models, agents and apps in one stack.

Four connected product layers.

Agents that answer operating questions.

Answers that show their evidence.

Start with the decision.

Results customers have measured.

For companies whose business depends on the land.

Research, case studies and field notes.

Crop pages for potato, rice, cocoa and nine more.

Building from the field up since 2010.

250+ enterprise clients in 103 countries.

BCG, Wipro, HCLTech, Global Hitss and Google.

Strategy to scaled deployment.

Connect breeding intent to commercial seed performance.

Start with the operating decision.

Plan multiplication accurately

Compare variety performance

Protect seed quality

Connect production to demand

Ask which varieties, lots and locations need attention.

See the seed production system from plot to portfolio.

Start with every production plot in one operating view.

How teams put it into operation.

Digitize the production plan

Verify execution and performance

Close the planning loop

Connect the full seed lifecycle in one intelligence layer.