Automating Expert Decisions
HOW IT WORKS
The right AI for analytical labs—software that learns from your experts and runs under your SOPs, turning instrument runs into validated decisions and signed explainable reports in minutes.
Manual Review vs. Decision-First AI
THE LAST MILE OF LAB AUTOMATION
Beyond inefficiency, manual workflows lead to burnout, frustration, and disengagement—making talent retention a growing challenge in QC labs.
Manual review slows as volume and complexity rise. Attention wavers, interpretations vary, and rework accumulates, which delays release. With EI as the decision layer, each batch moves from ingest to SOP aware decisions and signed, explainable reports in minutes. You set the rules; EI applies them consistently. Analysts review only exceptions; quality holds as volume scales.
The Breakthrough Decision Engine
EI-LSM ARCHITECTURE
EI-LSM (Limited Sample Model) isn’t just another AI. It’s purpose-built for the lab, designed to address the unique challenges of scientific workflows.
Expert-Driven
Intelligence:
Achieves up to 98% validated accuracy using limited, expert-labeled data; learns how your analysts decide without requiring massive datasets.
Lab-Native
Adaptability:
Operates on your data and SOPs with full transparency and controls; adapts to lab-specific methods, instruments, and constraints while preserving security.
Continuous
Evolution:
Employs active learning and self-corrects with each new data point; adapts to instrument, workflow, and sample changes without disrupting validated methods.
Total
Lab Awareness:
Processes raw instrument signals and unifies streams across modalities and sites; detects drift and subtle shifts, then surfaces real-time, actionable insight for each decision.
Your Lab’s Decision Engine
THE FULL AUTOMATION STACK
Expert decisions at scale—from every batch on every instrument, to trends across labs and studies. Flow automates the call; Signal reveals the pattern.
Turns instrument batches into validated decisions and signed, explainable reports in minutes. Scientist-trained, SOP-aware, LIMS-integrated; analysts review only exceptions.
EI Flow
Faster cycles: minutes from batch to report
Throughput without headcount: review-by-exception
Audit-ready records: full version history
Unifies months-to-years of batch data across instruments, methods, and sites, surfacing drift and out-of-trend early with standard comparators and alerts.
EI Signal
Early warnings before specs are at risk
Apples-to-apples comparators across sites
Bench → enterprise oversight
Unified, Scalable, Secure Anywhere You Need It
INTEGRATION & DEPLOYMENT
EI Flow integrates seamlessly with any instrument, centralizing lab data for end-to-end automation. Whether your lab operates in the cloud, on-prem, or a hybrid environment, EI Flow adapts to your infrastructure, ensuring secure, scalable, and compliant operations.
Cloud
Access secure workflows anytime, anywhere.
Private Cloud
Maintain data security within your own infrastructure.
On-Prem
Ensure real-time processing with full compliance control.
Implementation & ROI At A Glance
FAQ
What to expect on the first method, validation, and rollout.
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Most teams follow a 90-day path: connect instruments/LIMS, configure and validate side-by-side against your SOP, then go live with review-by-exception and audit-ready records. Validation follows a risk-based, lifecycle approach that aligns with widely used industry guidance (e.g., GAMP 5) for computerized systems in regulated environments. Deployments can be cloud-hosted or run on your network based on policy and data-residency needs.
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A working, validated method in production; minutes from batch to signed, explainable report; analysts focusing on exceptions rather than full-batch review; fewer manual errors and re-runs due to earlier QC gates; an audit-ready trail with version history; a baseline KPI set for cycle time, exception rate, and cost per analysis.
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A working, validated method in production; minutes from batch to signed, explainable report; analysts focusing on exceptions rather than full-batch review; fewer manual errors and re-runs due to earlier QC gates; an audit-ready trail with version history; a baseline KPI set for cycle time, exception rate, and cost per analysis.
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Work shifts from reviewing every batch to reviewing only flagged items. Batches that meet criteria auto-sign and flow to LIMS; exceptions queue to analysts with linked rationale and evidence. Teams spend time on true issues, throughput per analyst rises, and QA sees a consistent decision trail; analyst feedback on exceptions is captured and improves future calls.
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Deploy in our managed cloud with region selection or run OnSite on your network. Data is encrypted in transit and at rest; access is controlled with SSO, MFA, and role-based permissions. Network isolation, private endpoints, and IP allow lists are supported. Audit logs, backups, and retention controls are included. Your data remains yours and is not shared across customers; a DPA and subprocessors list are available on request.
Need clarity on rollout or ROI?
Book a working session to map your first method, validation plan, governance & change control, and a ROI range—then see a relevant workflow live.
From global brands to specialized labs, teams use EI to turn runs into explainable, signed decisions—at scale.
