99.9% Accurate. 


Zero Hallucinations.

Booth #3916
June 19 – 21

San Diego, CA

Trained by your scientists. Grounded in the wet lab.
EI weaves that truth into the analytical fabric
of your drug development.

Analysis in Minutes, 

Not Months

50×

Faster Throughput
Raw instrument data to signed, LIMS-ready output
across every method and site.

Analyst-Validated,
Production-Proven.

Increased Accuracy
Exception-based review with full traceability
eliminates manual decision drift.

Lab Orchestration,
End to End.

10×

Faster Integration
One platform across fragmented instruments, software, and data.

For pharma leaders compressing drug development timelines by unifying analytical decisions across the pipeline.

Move at the Speed of Discovery. Trust Every Result.

AI has made the front of drug development faster than ever. Validating those candidates hasn't kept up. Analytical decisions are still made by hand and siloed by stage, so the pipeline moves at the speed of its slowest handoff, and the AI tools meant to help can't be trusted in a regulated workflow.

Expert Intelligence weaves those decisions into one analytical fabric across the pipeline. It scales and accelerates every analytical decision with regulatory-grade accuracy, connects them from discovery to manufacturing, and flags risk before it reaches release, scientist-trained, signed, and never hallucinated. Your programs move faster, and every result holds up.

One Platform. Every Instrument.

EI works across your existing instruments, methods, and sites, no rip-and-replace, with standard connectors into your LIMS and enterprise systems. Every result is confidence-calibrated, exception-routed, and regulatory-grade, with full traceability from raw data to signed output.

Your Data Stays Yours

EI deploys into your own environment, cloud, on-premises, or hybrid, so your data never leaves the place it was generated. No new hardware, validated configurations supported, nothing to rip out and replace.

Trained on Your Data. Owned by You.

Your scientists train the model inside your environment, no code required. About 50 examples is enough for it to learn your targets and your decision logic. From there, every analyst correction feeds back through active learning, refining it toward 99.9% accuracy, and the trained model is your institutional IP.

If you’re attending Bio 2026 and evaluating AI for regulated lab operations, let’s connect.

Book time with Expert Intelligence at Booth #707.

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