Integration Factories

Industrialized Integration Infrastructure for AI-Centric Labs

Repeatable delivery systems that transform instrument integration from one-off projects into a validated, repeatable production capability — with measurable reuse, embedded validation, and AI-assisted acceleration.

See it in action — Merck Case Study →

The innovations described in the content herein are subject to patent rights present within a global patent portfolio developed and managed for the benefit of ZONTAL. All rights reserved.

Industry Problem

The Operating Model Problem in Enterprise Labs

Large pharma organizations face a persistent mismatch between AI ambitions and lab reality. Instrument estates are heterogeneous, data is fragmented across proprietary formats, and integration is executed as artisanal, project-based work.

Slow Onboarding

Weeks to months for each new instrument type. Serial work, high handoff overhead, and inconsistent delivery timelines hold back fleet expansion.

High Validation Overhead

Manual evidence recreation and inconsistent validation across instruments. Each integration cycle restarts quality assurance from scratch.

Limited Reuse

Knowledge stays tribal, patterns are rediscovered, and integration work never compounds. Every new variant is treated as a greenfield effort.

The Shift

From Projects to Industrialized Capability

Integration Factories replace one-off project work with a repeatable, auditable production line. Patterns are captured once and reused across sites, vendors, and instrument variants.

Project-Based

How It Used to Work

  • Weeks to onboard new instrument types with serial work
  • Accidental, inconsistent reuse with tribal knowledge
  • Manual evidence recreation and inconsistent validation
  • High bespoke effort per instrument with common rework
  • Strong dependence on key individuals
  • Data heterogeneity blocks scalable analytics
Factory-Based

How Factories Change It

  • Hours to days for first reusable asset with parallel workstreams
  • Patterns captured once and reused across sites, vendors, variants
  • Repeatable verification with evidence generated by design
  • Declining marginal cost as templates and adapters accumulate
  • Documented procedures, runbooks, and auditable lifecycle
  • Standard models plus lineage make data machine-ready
Core Capabilities

What Are Integration Factories

Two specialized factories combine proven software engineering practices — templates, automated testing, version control, release gates — with lab-domain standards and knowledge bases. Each factory scales: once a pattern is captured, it becomes a reusable asset deployed repeatedly with consistent quality.

Data Converter Factory

Industrializes conversion of vendor-specific files into standardized, analysis-ready data in Allotrope Simple Model (ASM). Takes vendor exports, run logs, and results as inputs and produces ASM-conformant datasets with consistent structure, units, and semantics.

ASM · Standardized Data

Instrument Adapter Factory

Industrializes instrument connectivity by exposing instrument capabilities through standard automation interfaces. Maps proprietary protocols to OPC UA and SiLA 2, enabling consistent deployment into orchestration and fleet-management environments.

OPC UA · SiLA 2
Business Outcomes

What Factories Deliver

Integration Factories transform integration from a recurring cost and risk into reusable infrastructure that compounds in value across sites, vendors, and instrument variants.

Efficiency

Time-to-Value

Faster onboarding of new instruments, techniques, and sites. Accelerated tech transfer and method rollout across your organization.

Scale

Scalability

Integration workstreams can be parallelized because they share templates, quality gates, and governance — removing the serial bottleneck.

Quality

Compliance Readiness

Repeatable, auditable procedures reduce manual evidence recreation and improve traceability across every integration deployment.

Capability

AI Amplification

Standardized structure and interoperable interfaces enable scalable analytics, semantic search, and model development across your data estate.

Benefit

Operational Resilience

Reduced dependence on tribal knowledge through runbooks, documented patterns, and lifecycle controls that persist beyond individual contributors.

Impact

Talent Multiplication

Scarce domain experts spend more time on high-value decisions and less on repeated integration mechanics. Expertise compounds rather than evaporates.

Converter Factory

From New Format to Approved Converter

Submit a new instrument format, upload example files, and review the generated converter output against test data — the full lifecycle in two screens.

Converter Factory new converter dialog for FACSLyric flow cytometry data showing requirements field, three prototype test files uploaded, and Submit button
New Converter — Submitting a FACSLyric flow cytometry converter. Requirements describe the target format (ASM), and prototype test files provide example data for validation.
Converter Factory review screen for FACSLyric showing 3/3 test examples with generated output, input CSV on the left and generated ASM JSON on the right with brand name, device type, serial number mapped correctly
Converter Review — All three test examples generate valid output. The review panel shows input (FACSLyric CSV) alongside generated ASM with correctly mapped device metadata, serial numbers, and sample documents.
Watch

Converter Factory — from Vendor File to Self-Describing Data Asset

From new instrument format submission through automated conversion, test validation, and approval — the full converter lifecycle.

Quantified Results

Measurable Impact

Factory-based integration delivers compounding returns. Customers compress onboarding timelines, reduce rework, and establish AI-ready digital assets with traceable lineage.

0.2–0.5× Cycle-Time Compression Onboarding shifts from weeks to days — e.g., 45 days compressed to 9–23 days
20–60% Build Effort Reused Templates and adapters reused across sites, vendors, and firmware variants
10–40% Validation Reduction Fewer QA and validation hours through repeatable verification and traceable evidence
20–50% Fewer Rework Cycles
$3–4M Dept-Scale Savings
~$50M Estimated Enterprise Savings
Factory Lifecycle

Six Phases, Repeatable by Design

Every factory engagement follows a structured lifecycle. Each phase produces defined artifacts, passes quality gates, and captures patterns for future reuse.

1

Intake

Confirm scope, inputs, stakeholders, and success criteria

2

Design

Align target systems, mappings, and acceptance tests

3

Build

Implement converter templates or adapter mappings with automated tests

4

Verify

Execute repeatable verification and generate required evidence

5

Deploy

Package and release to target environments with change control

6

Operate

Monitor, incorporate feedback, and extend patterns to new variants

Hardware-Independent Validation

Build and Verify Without the Instrument

Laboratory instruments run production around the clock. Multi-shift QC labs have no convenient maintenance windows. Taking an HPLC or mass spectrometer offline to validate a new adapter means pausing real analytical work. Simulation mode removes that constraint.

Protocol-Accurate Simulation

Every instrument adapter produced by the Adapter Factory includes a built-in simulation mode. The same adapter code that communicates with production hardware can replay the instrument's protocol behavior on an engineering workstation — OPC UA service calls, SiLA 2 command sequences, device status transitions, and error conditions.

The design → build → verify cycle runs entirely without a physical instrument connection. Hardware commissioning becomes a focused final step: confirm the adapter against the real device, generate the commissioning evidence, and hand off to operations.

Decouple from Lab Schedules

Integration engineers build and verify adapters while instruments run production. No downtime requests, no scheduling conflicts, no blocked sprints.

Pre-Procurement Readiness

When a lab orders a new instrument class, the adapter can be built and validated before the hardware arrives. Data flows from day one of installation.

Multi-Site Rollout Without Travel

Adapters validated in simulation at one site deploy to remote sites with minimal on-site commissioning. The heavy engineering is done before anyone boards a plane.

Risk-Free Automation Testing

Closed-loop automation workflows can be validated end-to-end in simulation before touching production instruments — critical in GxP environments where unvalidated automation on production equipment is a compliance risk.

CRO & CDMO Integration

Extend Factories to Outsourced Research

Pharmaceutical companies increasingly outsource development work to Contract Research Organizations (CROs) and Contract Development and Manufacturing Organizations (CDMOs). Integration infrastructure must extend beyond internal lab walls. Integration Factories produce the same governed, version-controlled converters for external partner instrument fleets as for internal instruments.

Same Factory, External Fleet

CRO and CDMO partners run the same instrument vendors — Waters, Agilent, Thermo Fisher, Shimadzu. Converters already support their instruments. Partners export raw instrument outputs, proprietary vendor formats, and PDF; the converter transforms them into vendor-neutral formats, validates, and governs the data on arrival. No platform deployment at partner sites required.

Audit Trail Across Boundaries

Outsourced stability studies, method validation runs, and analytical testing must trace back to the source instrument for regulatory submissions. Integration Factories preserve full provenance from the CRO instrument through format conversion, validation, and ingestion — the same 21 CFR Part 11 compliant audit trail as internal data.

Accelerated Partner Onboarding

Every factory-built converter compounds reuse. When a new CRO runs the same Agilent HPLC models already in your fleet, the converter is already built, tested, and validated. Onboarding a new external partner's instruments takes days, not months — the same compression ratio that applies to internal instrument rollouts.

Compounding Value

Every Build Compounds on the Last

As factory assets accumulate, each successive integration becomes faster, cheaper, and more reliable. Marginal effort declines while coverage expands.

1

First Instrument

Initial onboarding compressed from weeks to days. First reusable pattern created.

2

Variant Extension

Templates extend to related instruments. Marginal effort drops significantly.

3

Site Rollout

Controlled release across multiple sites. Enterprise reuse becomes measurable.

4

Fleet Scale

Standard interfaces enable intelligent orchestration and fleet-wide optimization.

“Historically, our analytical data has been often unmanaged — scattered into local machines, basically like islands that couldn’t communicate with each other.”

Laura Piñeiro Fernández, Platform Specialist, Syngenta
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