How Syngenta Reduced Converter Development by 97% in a 5-Day Pilot with ZONTAL Converter Factory
This workshop-based case study shows how Syngenta and ZONTAL compressed a historically 14-week converter-development cycle to 1 week or less, delivered five Release Candidates to DEV within 1 week, and proved the Factory works across medium-complexity, high-complexity, and novel-schema instrument classes.
A Practical Proof Point for Integration Industrialization
The Converter Factory workshop moved beyond theory. It demonstrated that governed, AI-assisted converter production can work across real instrument data, real review cycles, and real validation expectations inside an agricultural environment.
The Integration Bottleneck Blocking AI-Ready Labs
Enterprise labs operate hundreds of instrument models across dozens of vendors, each producing data in proprietary formats. Integration has historically been executed as artisanal, project-based work - serial, expert-dependent, and non-reusable. The result: onboarding queues measured in months, validation effort that restarts from scratch for every instrument, and an expanding backlog that blocks the very data foundation AI initiatives require.
The Converter Factory workshop at Syngenta moved beyond theory. It demonstrated that governed, AI-assisted converter production can work across real instrument data, real review cycles, and real validation expectations inside an agricultural sciences environment.
What changed
Before the Factory, Syngenta estimated roughly 14 weeks for manual converter development, with additional time required for ASM indexing, testing, release, and deployment. During the workshop, the teams delivered five converter Release Candidates (RC) to DEV within 1 week and established high confidence that future Release Candidates can be produced at a similar accelerated pace.
The Factory generates more than code. It produces field mappings, traceability artifacts, and test-oriented outputs that align directly with Syngenta’s SDLC expectations, reducing manual documentation overhead while improving repeatability.
Converter development reduced from 14 weeks to 48 hours or less, with 1 week achieved during the workshop for ALL Release Candidates.
Syngenta reduced intake, dataset preparation, and context-building effort before Factory execution even began.
Five instrument classes were covered: PerkinElmer Spectrum Two FTIR, Mettler Toledo STARe DSC, LECO CN928 Elemental Analyzer, PerkinElmer Pyris TGA, Teledyne ISCO Combiflash Chromatography, spanning novel, medium and high-complexity schemas where one binary schema included four software versions.
Five Steps from Raw Files to Release Candidate
The workshop confirmed a structured lifecycle that is faster than bespoke converter work while remaining compatible with controlled validation and release practices.
Upload Representative Data
Training datasets, manuals, SOPs, and analysis examples establish the starting context.
Add Context & Conventions
Schema choices, organization conventions, and special requirements shape the Factory run. This step is part of an iterative loop that repeats until convergence.
Execute the Factory
Schema mapping, parsing, binary decoding, and converter generation run autonomously and produce code, field mappings, and traceability artifacts.
Expert Review & Feedback
Scientists validate outputs against source data, flag issues, and provide domain-expert corrections that feed back into the next Factory run. PerkinElmer Spectrum Two FTIR, LECO CN928 Elemental Analyzer, PerkinElmer Pyris TGA, Teledyne ISCO Combiflash Chromatography all converged in 1 iteration while the Mettler Toledo STARe DSC converged in 3 iterations that included four software versions.
Promote to Release
Once expert review converges, the Release Candidate enters SDLC test, validation and deployment. Validation artifacts and traceability are already generated.
The Factory is not a one-shot code generator. It formalizes an iterative cycle of generation, expert review, and refinement into a governed sequence. Each iteration incorporates domain-expert feedback, converging on a Release Candidate that reflects real scientific judgment, not just automated output.
Five Instruments, Five Different Complexity Profiles
The pilot was intentionally scoped to test the Factory across a realistic spread of converter challenges rather than a single easy win.
PerkinElmer Spectrum Two FTIR
The PerkinElmer Spectrum Two FTIR converter reached Release Candidate status in 1 iteration. Schema validation succeeded, binaries were decoded, all datasets converted successfully, and the converter was deployed to DEV during the workshop.
Mettler Toledo STARe DSC
The Mettler Toledo STARe DSC converter reached Release Candidate status in 3 iterations. Schema validation succeeded, binaries were decoded, all datasets converted successfully, and the converter was deployed to DEV during the workshop.
LECO CN928 Elemental Analyzer
The LECO CN928 Elemental Analyzer converter reached Release Candidate status in 1 iteration. Schema validation succeeded, pdf and csv files were decoded, all datasets converted successfully, and the converter was deployed to DEV during the workshop.
PerkinElmer Pyris TGA
The PerkinElmer Pyris TGA converter reached Release Candidate status in 1 iteration. Schema validation succeeded, binaries were decoded, all datasets converted successfully, and the converter was deployed to DEV during the workshop.
Teledyne ISCO Combiflash Chromatography
The Teledyne ISCO Combiflash Chromatography converter reached Release Candidate status in 1 iteration. Schema validation succeeded, text files were decoded, all datasets converted successfully, and the converter was deployed to DEV during the workshop.
What the Workshop Proved
Two conclusions from the readout that speak directly to the value demonstrated during the pilot include factory confidence and speed to release candidate.
“What the Workshop ProvedParser development at Syngenta had historically been a months-long journey. During the 5-day workshop, the team tackled five different instrument types and left with five working parsers ready to go!
Laura Pineiro Fernandez Syngenta + ZONTAL workshop readout, June 11, 2026
From Manual, Sequential Work to a Governed Factory Model
The most compelling shift is not just speed. It is the move from a long, manual project sequence to a shorter, governed production flow that gets high-quality outputs into validation much sooner.
Before Factory: Long manual sequence
With Factory: Governed delivery flow (97% development-time reduction)
ASM indexing, testing, release, and deployment still remain downstream activities. The workshop proved that the biggest pre-validation bottleneck can now be compressed dramatically.
What This Changes Operationally
The Factory shifts converter delivery from a fragile, expert-dependent project into a governed production process that compounds with every instrument onboarded.
Near-Term Roadmap After the Workshop
The pilot closed with a clear next-step agenda spanning converter completion, validation acceleration, and broader Factory adoption.
Move all five Converters through full test and validation
Use the deployed converter Release Candidates for Syngenta’s test and validation process, including binary input validation and proposed schema-fix incorporation.
Improve review cycles and source support
Add more interactive human-in-the-loop touchpoints, provide sharper executive summaries, and incorporate requested feature feedback into future Factory versions.
Apply the workflow to the next wave
Continue to build momentum from the successful workshop and expand the Factory-enhanced workflow to additional instruments on the Syngenta roadmap.
Turn Converter Delivery into a Factory, Not a Project Queue
See how ZONTAL can help your team standardize instrument data faster, reduce manual traceability work, and build an AI-ready scientific data foundation.