Innovation · for plants
AR and VR training
for the plant floor.
We build augmented- and virtual-reality training that people practise before they do the real job: a procedure, a machine, a safety step. We built an AR application to train Johnson & Johnson staff on procedures, and Trainlight, our own no-code AR training platform, which won the Bridge Accelerator grand prize.
Johnson & Johnson
An AR application that trains staff on procedures, step by step.
Trainlight
Our no-code AR and mixed-reality training platform. Bridge Accelerator grand prize.
From one procedure to training
people actually use.
Every Innovation project follows the same four steps. Each one has to hold before the next starts, so what gets built keeps being used.
We walk the floor and the procedure before any design begins: who trains whom, where, on which devices, and what a mistake costs. This decides what is worth building and at what scale.
Which modality fits the task (AR on a phone or headset, VR, mixed reality), how the digital layer sits on the real equipment, and how a trainee moves through it. Checked against the real room before build.
We build against the approved specification and run it with a first group of trainees, measuring where they get stuck, before the full rollout.
We keep the training current as procedures, equipment and staff change, and extend it to the next procedure or site when it earns it.
Most AR and VR training
never gets past the demo.
Most organizations have experimented with AR, VR, or Mixed Reality. Few have deployed it at scale. The gap between a compelling proof-of-concept and a system that operates across hundreds of users, locations, and workflows is where most investments stall - not because the technology fails, but because the deployment infrastructure doesn't exist.
Built for institutions.
Funded by design.
NDA delivers AI training programs structured for institutional and government procurement — CONOCER-certified, cohort-based, and designed to produce measurable capability outcomes.
Go deeper,
one modality at a time.
Each immersive modality solves a different problem and fits a different operational environment. These pages go deeper into how each one works, where it's been deployed, and whether it fits what you're building.
Sources: 1 Capgemini Research Institute, Augmented and Virtual Reality in Operations (2018), citing Boeing · 2 PwC, The Effectiveness of Virtual Reality Soft Skills Training in the Enterprise · 3 Forrester Consulting, Total Economic Impact of Microsoft HoloLens 2 (2023), commissioned by Microsoft
Deployed. Not piloted.
in Ciudad Juarez
The first AI forum for small businesses in Ciudad Juárez: a keynote, five flash talks and live demos, with CANACO and Microsoft.
storytelling system
targeted by platform story
Frequently Asked Questions
What makes NDA different from generic AI workshops?
Innovation is built around applied capability, not one-off inspiration. Programs are scoped to real roles, real workflows, and measurable learning outcomes, with methodology shaped for institutions, teams, and organizations that need durable adoption rather than short-lived excitement.
What is the difference between NDA and a typical immersive studio?
Most immersive studios are optimized to produce experiences. Innovation is optimized to deploy and operate immersive systems inside real organizations. That means infrastructure, integration, device management, rollout planning, and long-term support are treated as core parts of the work, not optional add-ons.
When should an organization use AR, VR, or mixed reality?
AR is best when people need digital guidance in the physical world, VR is best when teams need repeatable simulated environments, and mixed reality is best when digital and physical elements must coexist spatially in real time. Innovation scopes the modality based on the workflow and deployment environment rather than forcing a single format.
Who is NDA designed for?
Innovation is designed for institutions, teachers, public-sector teams, and organizations that need structured AI capability building. It is especially relevant when leadership wants AI adoption to be transferable across cohorts, teams, or departments instead of depending on a few early adopters.
What is the difference between AI training and AI consulting in Innovation?
AI training builds fluency and applied skill inside the participant group. AI consulting helps leadership define the adoption roadmap, capability gaps, governance approach, and implementation path before or alongside training. The two are complementary but solve different problems.
Does NDA only work on pilots and proofs of concept?
No. Innovation is specifically positioned around moving beyond pilot mode. Discovery, system design, integration, deployment readiness, and operations are structured to support real rollouts rather than one-off demos that never become part of the organization’s working infrastructure.
How does NDA measure whether a program worked?
Innovation measures real capability change through applied work, behavioral adoption, and practical outcomes tied to the participant context. The emphasis is on what people can now do with AI in their actual work environment, not just whether they attended a session or completed a slide deck.
What types of organizations are the best fit for Innovation?
The best fit is an organization with a real operational, training, or communication use case for immersive systems and the mandate to deploy responsibly. That includes industrial teams, institutional programs, public experiences, and enterprise groups that need immersive technology tied to outcomes rather than spectacle.
The Tech reel,
AR and VR projects for our clients.
Which procedure takes
longest to teach?
Tell us, and we'll show you what it looks like in AR or VR.