AI built for lab decisions.

You set the rules.

Booth #2359 
Mar 9-11 
San Antonio, TX

Expert Intelligence is the decision layer across the lab,
delivering fewer re-runs, defensible results,
and faster throughput.

Minutes,
Not Months.

50×

Faster Reviews
Batch review cycles are significantly shortened while maintaining rigor and traceability.

High Precision,
Fewer Reruns.

6×

Fewer Errors
Exception-only review reduces errors by removing repetitive manual decisions.

Actionable Results, 
In Real Time.

10×

Faster Time to Value
Operational impact is achieved in days, not months by turning instrument data into action.

For Pharma leaders eliminating deviations, remediation, and regulatory drag in lab operations.

What We’re Showing
at Pittcon 2026

From Chromatograms to Decisions

Implementing Limited Sample Models (LSMs) AI for QC Release with Exceptions-Only Review

Analytical labs need AI that produces governed, reviewable decisions, not black-box predictions. This talk introduces Limited Sample Models (LSMs), an AI architecture designed to capture expert review decisions from small, high-value analytical datasets and apply them consistently across routine workflows.

We’ll show how LSMs enable exceptions-only review for LC/GC-MS and HPLC workflows while maintaining full traceability, calibrated uncertainty, and deterministic replay of automated decisions for QA and regulatory review.

Date: Monday, March 9, 2026
Time: 9:40 – 10:10 AM
Location: Room 302B
Session: Smarter Labs, Sustainable Future: Redefining Compliance with AI and Automation

Lab Manager AI Playbook

Audit-Ready, Replayable Decisions for QC Release

This hands-on workshop helps lab managers understand how to safely introduce AI into analytical workflows while maintaining regulatory compliance and audit readiness.

Participants will learn how Limited Sample Models capture expert judgment from small datasets and encode method priors, QC rules, and acceptance criteria to support exceptions-only review across LC, GC-MS, and HPLC workflows used in DMPK, biomarker analysis, and biologics QC methods such as SEC and icIEF.

Attendees will leave with a practical framework for implementing AI in regulated labs, including replayable decisions, calibrated uncertainty, and audit-ready traceability aligned with 21 CFR Part 11, ISO/IEC 17025, and Annex 11.

Date: Wednesday, March 11, 2026
Time: 8:30 – 10:00 AM
Location: Room 006A
Session: WS-13-00 Workshop

Come see what purpose-built AI looks like in the analytical lab. Expert Intelligence applies AI as a governed decision layer that learns from expert review, operates across instruments and modalities, and delivers 99% accuracy with full traceability. It supports GMP workflows end-to-end and integrates directly into existing SOPs and review processes; so analysts move faster without adding risk, re-runs, or investigation overhead.

See your analytical methods running with AI

LC-MS and LC-MS/MS
Quantitative decisions with audit-ready outputs and governed review logic.

Proteomics and Biomarkers (DDA, DIA)
Protein-level confidence through alignment, interference handling, and reproducible identification.

QC ADC, Intact Mass, AS-MS
Deconvolution, proteoform analysis,
DAR calculation, and microheterogeneity assessment

icIEF, CE, SEC
Consistent peak identification, integration, and release logic.

Glycan Analysis
Isomer resolution, ambiguity management, and scalable expert annotation.

Titration
Automated curve fitting and endpoint determination.

Decision automation for exception-only review.
Reduce re-runs and shorten review cycles by focusing human attention only where it’s needed.

Cross-lab visibility across methods and modalities.
Surface patterns and inconsistencies across runs, instruments, and data types.

Governed AI for regulated environments.
Traceable, reviewable, and controllable by design to support validation, audit, and release workflows.

If you’re attending Pittcon and evaluating AI for regulated lab operations, let’s connect.

Book time with Expert Intelligence at Booth 2359.