B2B AI for Laboratory Operations

Turn Lab Data Into Operational Intelligence

Predict delays. Reduce turnaround time. Optimize workflows. Built for laboratory organizations: hospital labs, diagnostic networks, and multi-site groups, not individual practitioners.

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Know Before It Breaks

See Bottlenecks Before They Cost You Turnaround Time

Real-time visibility across every stage of your workflow, from collection to result, so nothing slips through unnoticed.

See the Product

Built On AWS + Azure + NVIDIA

Enterprise-Grade Intelligence, Ready On Day One

Secure, scalable infrastructure purpose-built for the demands of intelligent healthcare operations.

Explore Infrastructure

Your laboratory generates data. But can your team see what's happening in time?

Delayed specimens

Samples sitting too long before processing.

Hidden bottlenecks

Managers discover workflow problems after they affect turnaround time.

Uneven workloads

Some teams become overloaded while others have available capacity.

Reactive operations

Teams respond to delays instead of predicting them.

Explore the Problem

Why Now

Why this is the moment for laboratory operations AI.

01

Operational data already exists.

LIS platforms, analyzers, and scheduling tools already generate the data. The gap has only ever been assembling it into something usable in real time.

02

AI inference is affordable now.

Running real-time prediction against operational data used to require research-lab budgets. NVIDIA-accelerated inference has made it a practical, everyday cost.

03

Laboratories are under more pressure, not less.

Volume keeps rising while staffing stays tight. The margin for manual, after-the-fact operations management keeps shrinking every year.

04

Cloud infrastructure is healthcare-ready.

AWS's healthcare-grade security and compliance tooling means a platform like this can be built responsibly from day one, not retrofitted later.

Turn laboratory operations into a system you can see, understand, and predict.

Specimens → Processing → AI Intelligence → Prioritized Work → Results

See what's happening. Understand why. Act before delays spread.

Explore the Platform

Empowering Modern Laboratories

Smarter Operations.
Better Outcomes.

LabOps AI helps laboratories gain real-time visibility across workflows, predict operational risks, and empower teams to act before delays impact patients.

About Us

The Intelligence Layer for Laboratory Operations

Module One

Operational Visibility

  • Real-time tracking of specimens and workflows
  • Monitor turnaround time across every stage
  • Identify bottlenecks and delays instantly
  • Comprehensive dashboards for every lab role
Module Two

Predict & Prioritize

  • AI predicts specimens at risk of delay
  • Intelligent prioritization for lab teams
  • Proactive alerts and actionable insights
  • Continuous learning from your lab data
Module Three

Workflow Automation

  • Auto-routes specimens to the right queue
  • Smart load balancing across analyzers
  • Rules-based escalation for critical samples
  • Fewer manual handoffs, fewer errors
Module Four

Team Coordination

  • Shared, role-based dashboards for every shift
  • Live workload view across departments
  • Assignment and hand-off tracking
  • One source of truth, no more status calls
Module Five

Reporting & Insights

  • Exportable turnaround and volume reports
  • Trend analysis across weeks and shifts
  • Department-level performance benchmarks
  • No more manual end-of-shift spreadsheets
Module Six

Continuous Improvement

  • Prediction models retrain on your lab's data
  • Accuracy improves the longer you use it
  • Feedback loop built directly into alerts
  • Gets sharper to your specific workflow
LabOps AI mobile dashboard showing specimens today, AI risk monitor, turnaround time, and workflow status on a phone

Everywhere You Need It

Your lab, in your pocket.

The same live data you'd see at a workstation (specimens, AI risk, turnaround, workflow status) follows your team to their phone. Check status between benches, not just at the desk.

  • Live specimen counts and AI risk scoring, updated continuously
  • Turnaround time, expected vs. actual, at a glance
  • Workflow stage tracking from Collection to Result

AI Intelligence

AI that doesn't just report what happened. It helps you see what's coming.

Predict Delays

Identifies specimens likely to exceed their expected turnaround time.

Detect Bottlenecks

Finds recurring operational slowdowns across laboratory workflows.

Prioritize Work

Helps teams focus attention on specimens requiring immediate action.

Ask Your Lab

ManagerWhy did turnaround time increase this week?
LabOps AIAverage chemistry turnaround time increased by 18%, primarily between 4PM-7PM due to increased workload and reduced processing capacity.

How It Works

01

Connect

Connect laboratory workflow and operational data.

02

Understand

AI learns workflow patterns and performance.

03

Predict

Identify potential delays and operational risks.

04

Act

Teams receive prioritized insights and recommendations.

05

Improve

Track performance and continuously optimize operations.

Built for Laboratories. Designed for Impact.

Increase efficiency, reduce turnaround time, and elevate the quality of laboratory operations with AI.

Real-Time Insights

Get real-time visibility into specimen status, workloads, turnaround times, and more.

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AI-Powered Intelligence

Our AI models detect risks, predict delays, and recommend actions to keep your lab ahead.

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Operational Excellence

Standardize workflows, reduce errors, and ensure consistent performance across departments.

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Scalable & Secure

Built on AWS with enterprise-grade security, scalability, and reliability.

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Infrastructure

Built for the demands of intelligent healthcare operations.

Laboratory Data
↓
AWS Cloud Infrastructure
↓
AI / ML Layer: Azure Machine Learning + NVIDIA Accelerated Computing
↓
Operations Intelligence
↓
Laboratory Dashboard
AES-256
Encryption at Rest & in Transit
<200ms
AI Prediction Latency (Design Target)
Per-Tenant
Isolated Storage per Laboratory
Auto-Scaling
Managed Compute, Not Fixed Capacity

AWS

Amazon S3 Amazon RDS Amazon ECS/EKS AWS Lambda Amazon SageMaker Amazon Bedrock Amazon CloudWatch

NVIDIA

NVIDIA GPUs CUDA TensorRT Triton Inference Server

Azure

Azure Kubernetes Service Azure Machine Learning Microsoft Entra ID Azure Key Vault Azure Blob Storage Azure Monitor

We run core hosting and data storage on AWS, with Azure Machine Learning and Microsoft Entra ID handling model experimentation and enterprise identity for customers who require it. A deliberate two-cloud setup, not a badge wall.

AWS, Microsoft Azure, and NVIDIA are trademarks of their respective owners. LabOps AI is not affiliated with or endorsed by them.

Explore Our Infrastructure

Traction

Where we actually are, stated plainly.

24
MVP Users: people actively using LabOps AI today
4
Design Partners: companies actively helping shape the product
3
Pilot Commitments: companies who've agreed to test LabOps AI
19
Pilot Conversations: qualified businesses currently discussing a pilot
6
Letters of Intent: companies who've formally expressed intent to buy
42
Discovery Interviews: real conversations with target laboratory teams
165
Waitlist: qualified laboratories and businesses waiting to join

The MVP is live and in active daily use, not a beta, not a concept. These are the real, current numbers behind it: small, specific, and unrounded, because we'd rather you trust them than be impressed by them.

Market

Built for laboratories that can't afford operational blind spots.

Segment 01

Hospital Laboratories

Improve operational visibility across departments.

  • Cross-department turnaround visibility
  • Fewer delayed critical results
Segment 02

Diagnostic Laboratories

Manage high-volume testing environments.

  • Built for high sample throughput
  • AI-prioritized processing queues
Segment 03

Laboratory Networks

Standardize operations across multiple locations.

  • One dashboard across every site
  • Consistent workflows, network-wide
Talk to Our Team

Voices from the Lab

LabOps AI has transformed the way we manage our laboratory. We now see issues before they become problems.

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Customer Feedback

"

The predictive alerts and real-time dashboards have helped us reduce turnaround time and significantly improved our workflow efficiency.

Laboratory Operations Manager
One of our current design partners

Team

The people building LabOps AI.

Eze Emmanuel

Founder & CEO

Leads product and company direction, with a background in healthcare operations and applied AI.

Ifeoma Obi

Co-Founder & CTO

Leads engineering and the AI/ML systems behind delay prediction and bottleneck detection.

Transform Your Laboratory

Let's Build a Smarter Lab Together

LabOps AI is here to help your team work smarter, reduce delays, and deliver better outcomes.

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