99.9% Accurate.
Zero Hallucinations.
Booth #707
May 19-21
Boston, MA
Trained by scientists. Trusted by wet labs.
The AI decision layer that scales regulatory
analytical workflows.
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.
7×
Increased Accuracy
Exception-based review with full traceability
eliminates manual decision drift.
Lab Orchestration,
End to End.
10×
Faster Integration
One platform replaces fragmented vendor software, deployed on your infrastructure.
For Pharma IT, infrastructure, and AI leaders automating lab operations without adding headcount or audit risk.
Automate the Lab.
Defend Every Decision.
Pharma IT teams are asked to modernize lab workflows while keeping regulated operations defensible. Most AI tools were not engineered for this environment. They expand the audit surface instead of reducing it, require data to leave controlled environments, and bolt onto SOPs rather than enforcing them.
Expert Intelligence is engineered the other way around. It runs inside your infrastructure, reads raw data from any instrument vendor, processes it against your SOPs, and writes signed reports to LIMS. Governance is built in from the start, not added after.
One Platform. Every Instrument.
EI is instrument-agnostic and works with your existing fleet. Standard connectors out to LIMS and enterprise systems. Every decision is confidence-calibrated and exception-routed, producing audit-ready, regulatory-grade outputs with full traceability on every result.
Runs Inside Your Infrastructure
Deployed on-prem, AWS, Azure, or Kubernetes. Containerized workload using standard orchestration, identity, and storage. Horizontal scaling, no proprietary hardware. Air-gapped and validated configurations supported. Data never leaves the environment it was generated in.
Trained on Your Data. Owned by You.
Models are trained inside your environment by your analysts, no code required. Around 50 samples is enough for the model to learn your targets and decision logic. From there, every analyst correction is captured and fed back through active learning, refining the model toward 99.9% accuracy. The trained model is your institutional IP.
If you’re attending Bio IT 2026 and evaluating AI for regulated lab operations, let’s connect.
Book time with Expert Intelligence at Booth #707.
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