Train workers in a
digital twin
of their actual factory floor.

We scan manufacturing facilities using LiDAR and photogrammetry and convert them into interactive training environments, so new hires learn your exact layout, equipment, and hazard zones before day one.

MVP Demo Video Coming Soon

Trusted by teams at Rose-Hulman Institute of Technology · A Regional Manufacturer · Ferm Fresh Kombucha

Traditional manufacturing training is failing workers and companies.

90%1Murre & Dros (2015), PLOS ONE. Replication of the forgetting curve showing ~90% information loss within a week without reinforcement. doi:10.1371/journal.pone.0120644

of new information forgotten within a week without active reinforcement

47%2National Safety Council, "Injury Facts: New Worker" chapter. Workers in their first year on the job account for nearly half of all manufacturing injuries. nsc.org/workplace

of manufacturing injuries occur within an employee's first year on the job

$2,500–$5,0003The Manufacturing Institute & Deloitte, "2018 Skills Gap and Future of Work Study." Includes recruiting, onboarding, and productivity ramp costs for hourly manufacturing roles.

average cost to onboard a single manufacturing employee using traditional methods

Shadowing, printed manuals, and classroom instruction are passive, inconsistent, and expensive. Meanwhile, labor shortages are shrinking the apprenticeship pipeline, and the incoming workforce learns differently. They grew up with video games and interactive interfaces. Your training hasn't caught up.

We turn factories into playable training environments.

LiDAR scanning + photogrammetry + Unreal Engine 5, rebuilt as an interactive digital twin of your specific facility. Not a generic template.

1

Scan

We scan your facility using LiDAR-capable mobile devices. No expensive hardware required on your end.

2

Build

Our AI-assisted pipeline reconstructs the environment and maps your training protocols directly into the space as executable tasks and interactive scenarios.

3

Train

Workers navigate the simulation on a standard laptop or VR headset, walking your actual floor and operating your actual equipment before day one.

4

Measure

An integrated AI performance layer tracks trainee behavior, flags comprehension gaps, and produces outcome data that integrates directly into your existing onboarding portal or LMS.

Key Differentiator

Other competitors use generic, pre-built factory environments. We use your actual facility. Trainees get experience on exact layout, equipment, and hazard zones they will encounter on day one.

Proven Outcomes. Active Clients. Earned Revenue.

$2,0004Paid contracts and invoices from FloorReady beta clients, 2024–2025.

Beta revenue generated

+5.7%5Pre/post safety exam scores across beta cohort at Rose-Hulman Institute of Technology Machine Shops, Fall 2024. FloorReady internal data.

Safety exam score improvement

+10.4%530-day retention assessment comparing FloorReady-trained cohort vs. traditional onboarding cohort. FloorReady internal beta data, 2024–2025.

Knowledge retention improvement at 30 days

22 hrs6Measured wall-clock time from LiDAR scan completion to deployed interactive environment. Second client build, 2025. First build was ~40 hrs as pipeline was established.

Scan to deployed environment (second build)

A fraction of what traditional training costs.

Implementation

$3,000
per environment

Covers: facility scan, environment build, training protocol integration

Traditional content studios charge $40,000–$50,000+ for comparable custom environments 7Brandon Hall Group, "Learning & Development Benchmarking Study" (2022). Custom immersive/VR training content development averages $40K–$80K per environment depending on complexity.

Per-Seat Training

$500
per employee trained

Full simulation access, performance tracking, and outcome reporting

vs. $2,500–$5,000 per employee for traditional manufacturing onboarding 3The Manufacturing Institute & Deloitte, "2018 Skills Gap and Future of Work Study." Same benchmark cited in the Problem section above.

Future: SaaS subscription tier with ongoing analytics, content updates, and LMS integration. Pricing available upon request.

Built by people who understand the factory floor.

Deven Wells, Founder & CEO

Deven Wells

Founder & CEO

Engineering Design student at Rose-Hulman Institute of Technology, currently on co-op as an independent engineering and business consultant. Growing up working alongside family in employee onboarding and training, and completing a manufacturing engineering minor with hands-on manufacturer work, gave direct insight into how much time, money, and energy goes into getting new hires to true performance — and how often traditional methods still fall short. FloorReady is the solution that experience demanded.

Nate King, CTO

Nate King

CTO — Engineering & Integrations

Electrical Engineering student at Rose-Hulman Institute of Technology, pursuing a Power Certificate with hands-on experience in circuit design, embedded systems, and system integration. At FloorReady, Nate leads technical architecture and client integration — ensuring every deployment connects seamlessly from LiDAR scan to live training environment. His background spans internship engineering at NSWC Crane, entrepreneurial hardware work, and robotics systems development, giving FloorReady the technical depth to bridge complex facility infrastructure with simulation-ready output.

Rose-Hulman Institute of Technology
Manufacturing Engineering & Electrical Engineering
Advised by former DuPont senior plant management executive
Indiana-based, serving Indiana manufacturers first

Ready to see your facility in a simulation?

We'll walk you through a live demo of a deployed training environment, not a slide deck. You'll see the actual product.

Deven@devwel.co · Terre Haute, Indiana

Sources & Data Notes

  1. Murre, J.M.J. & Dros, J. (2015). "Replication and Analysis of Ebbinghaus' Forgetting Curve." PLOS ONE. doi.org/10.1371/journal.pone.0120644
  2. National Safety Council. Injury Facts: New Worker Safety. injuryfacts.nsc.org
  3. The Manufacturing Institute & Deloitte. (2018). Skills Gap and Future of Work in Manufacturing Study. themanufacturinginstitute.org
  4. Revenue figure reflects paid beta contracts. FloorReady internal records, 2024–2025.
  5. Learning outcome data from pre/post assessments administered to beta cohort participants. Early-stage beta program; results are directional and will be validated at larger scale. FloorReady internal data, 2024–2025.
  6. Build time measured from scan file handoff to deployed interactive environment. Reflects improvement from first to second build as pipeline matured, 2025.
  7. Brandon Hall Group. (2022). Learning & Development Benchmarking Study. Custom immersive/VR training content development cost benchmarks. brandonhall.com