The chromatogram that vanished

FDA reviewer, Day 127 of your NDA review: "Please provide the raw chromatographic data supporting Table 14 in your stability report."

You have the table. The summarized results. The purity values. But the raw chromatograms? They were on the HPLC workstation that was replaced two years ago. The backup drive is labeled "HPLC_Backup_2022" and contains 47,000 files with names like "Run_00847.d" and "Seq_March_final_v2.d".

Three analysts spend two weeks searching. Some files are found. Others aren't. The ones that are found have no audit trail—no proof they haven't been modified since acquisition. The reviewer requests a pre-approval inspection. The inspection finds data integrity gaps. Your NDA timeline slips six months.

This is what happens when instrument data lives on local PCs instead of a managed system.

The instrument outputs. The system captures.

An HPLC finishes a run. Where does the data go?

In most labs: to a folder on the instrument PC. Maybe copied to a network drive later. Maybe not. File name depends on whoever set up the sequence. Metadata exists in the data file—if the vendor software wrote it correctly.

In Seal: the data flows automatically. The HPLC finishes, the chromatogram appears in Seal within seconds. File name standardized. Metadata captured: instrument, method, operator, timestamp, sample ID. No manual export. No USB drives. No "I'll copy it later."

Every instrument, same pattern:

• HPLC/UPLC — Chromatograms from Waters, Agilent, Shimadzu, Thermo
• Mass spec — Spectra from Sciex, Bruker, Agilent, Waters
• Plate readers — Absorbance, fluorescence from BMG, Molecular Devices, BioTek
• Dissolution — Profiles from Sotax, Distek, Hanson
• Particle analyzers — Size distributions from Malvern, Horiba

If it outputs data, Seal captures it.

Data integrity you don't have to think about

The FDA 483 reads: "Laboratory data integrity procedures were inadequate." Translation: someone could have modified data after acquisition and you wouldn't know. The warning letter costs you $12 million in remediation and delays your next approval by two years.

Data integrity failures share a pattern: manual steps where data can be modified without trace. Copy a file to USB. Rename it. Reprocess without linking to the original. Delete inconvenient results. Every manual touchpoint is a potential gap.

Seal eliminates the gaps by design:

Data flows from instrument to storage automatically—no manual export where files could be renamed or filtered. Timestamps come from the system clock at capture—not whenever someone remembers to save. Raw files are immutable—you can reprocess, but the original never changes and the reprocessed result links back. Checksums verify the data on disk matches what the instrument generated. Every access is logged—who opened what, when, why.

The auditor asks about data integrity. You don't explain your procedures. You show the architecture. There's no way to modify data without trace because the system doesn't allow it.

Find anything in seconds

"Show me all stability chromatograms from Project X where any impurity exceeded 0.3%."

In scattered file systems, this query is impossible. You'd need to know which folder stability data lives in, remember the naming convention from that project, open each file in vendor software, and manually check impurity values.

In Seal:

1. Search by project: "Project X"
2. Filter by data type: "Stability"
3. Filter by impurity threshold: ">0.3%"
4. Results in 2 seconds

Full-text search across file names, methods, and embedded metadata. Structured search by date, instrument, project, study, analyst. The data you need, when you need it.

Organized by how you work

Drug development generates terabytes of analytical data:

• Method development runs—hundreds of conditions
• Forced degradation studies—acid, base, oxidation, heat, light
• Validation batches—specificity, linearity, precision, accuracy
• Stability time points—T0, 1M, 3M, 6M, 9M, 12M, 18M, 24M

Seal organizes hierarchically: Program → Molecule → Study → Method → Dataset. Navigate to find what you need. Or search across everything. Your analytical archive, structured the way you think.

When NDA time comes, the supporting data is organized by study, linked to reports, and ready for reviewer queries.

Twenty years from now

Regulatory retention requirements span decades. The instrument that generated the data will be retired. The vendor software may not run on modern operating systems. The file format may be deprecated.

Seal preserves for the long term:

• Original files — Vendor formats exactly as generated
• Rendered copies — PDFs reviewable without vendor software
• Extracted data — Tables, peak lists, results in open formats
• Full searchability — Archives are indexed, not just stored

In 2045, when FDA asks about stability data from your 2025 submission, you find it in seconds.