bringing NGS-powered agriculture to Latin America
Our berry program is fully operational. We have other programs under discussion (i.e. potatoes, avocado, etc)
How a berry breeding program runs with us
Multi-phase delivery. The structure below describes how we engage. The current customer engagement stays under NDA.
This kind of customer arrives with a recurring problem. A berry inventory accumulated over many seasons. Potential duplications. Possible degradation. Unknown contamination. They need to understand what they actually have before deciding what to plant next.
Phase 1: Foundation and population audit
Inventory audit. Duplication detection. Degradation and contamination assessment. Closes with a strategic workshop that aligns priorities for the next two phases.
Phase 2: Crosses, cultivation, bioinformatics
[Placeholder: Carlos to provide 2 to 3 lines of specific Phase 2 content]
Phase 3: Validation, IP, screening
[Placeholder: Carlos to provide 2 to 3 lines of specific Phase 3 content]
The methodology applies to any berry breeding program that has been accumulating selection material for more than a few seasons without a genomic baseline.
What we deliver
Four decision-ready outputs.
Each one is a decision document we reivew and discuss with you so that actionable plans derive from our output. You do not get a raw data dump.
Crossing matrix
Prioritized for the current season based on Map output and breeding objectives.
Line recommendations
Which lines to conserve and which to release, with documented rationale.
Marker panel
Validated and ready for Sift deployment at commercial scale.
Screening calendar
Aligned to the crop biological calendar, not to a generic lab schedule.
What this program teaches for the next one
Three areas where real execution builds institutional knowledge that cannot be acquired from literature.
Field-to-lab integration
Sample handling, chain of custody, and sampling calendar coordination inside a local Mexican logistics chain. This is where most programs lose time.
Marker calibration in local population
Any validated panel must be run on the local genetic population before being declared operational. We are doing that now, not assuming portability from external datasets.
Real turnaround speed
The actual duration of a Map-to-Markers-to-Sift cycle in Mexican operation. The timeline we quote future customers is derived from this program, not from estimates.
How a conversation starts
"What would you need to see in the next 90 days to grow confidence that we can help you achieve your goals?"
The first question
Every program conversation starts here. We ask it before anything else.
The first goal
Often a specific short-term challenge: a population to characterize, a marker to validate, a contamination to track down. We solve that one well before proposing a multi-year program.
The harder questions
Why integrate advanced bioinformatics and NGS into your workflow at all? What is the actual problem you are trying to solve? Can these tools really help you, or are they overkill for your stage?
If the conversation does not answer those questions honestly, we do not move forward.
Two routes in
The program you represent determines the entry point. Either route starts with a 30-minute conversation.
Berry programs
Raspberry, blackberry, blueberry, strawberry, cherry. Entry through the operational route with CSAG.
- Established protocol for berry genetics
- Map, Markers, and Sift available now
- Coordinated through CSAG
Other crops
Potato, grapevine, avocado, ornamentals. Entry through the direct route with Granatum.
- Program scoped to crop-specific biology
- Direct engagement with Granatum
- Lens and Pulse available for monitoring
Auragen
Plant genomics, locally operated in Mexico.
Auragen is part the ecosystem of Granatum-bioworks.
Contact
contact@auragen.bio
Operations in Mexico. Serving breeding programs in Mexico and Latin America.
© 2026 Granatum-Bioworks, S.A.P.I. de C.V. All rights reserved.
Prices shown on this site are indicative starting points. Final pricing is built per program in conversation.
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