The US is investing $1.56T in advanced manufacturing through 2030. But what about the human operating system to run it?
Advanced manufacturing will create 3.8M new jobs by 2032. There is a 1.9M worker shortfall. The workers that are hired won't all be ready. The cost if a worker makes a mistake on the floor is $1.0 to 3.8M per hour.
ALUVA is building the Human Performance Engine for Advanced Manufacturing and working with innovative companies to ensure their workers are more capable, predictable, and loyal to maximize production yield.
$1.5MCost per hour of worker-related downtime.
1.9MUnfilled jobs in fabs by 2032.
24-32%Annual US employee churn in advanced mfg.
The problem
Five workforce crises. No integrated solution.
Advanced manufacturing isn't facing a training problem. It's facing a multi-dimensional human readiness emergency.
1.9M new workers entering without fab floor skills: cleanroom ops, LEAN, Six Sigma.
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Cultural gap
Multicultural, mixed-language teams with mismatched communication and management styles.
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Professional skills gap
Engineers must present, lead cross-culturally, and manage mixed-gender teams - not just run tools.
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Measurement gap
Training tracks completion, not capability. Leaders need ramp speed and readiness scores.
The engine
We don't just train workers. We tell you who is ready.
A performance prediction system that continuously trains, simulates, and scores your workforce, before it costs $1.5M/hr to find out.
01 - INPUT
Domain-trained AI
Fed on org-specific procedures, policies, and machines; cleanroom protocols; cross-cultural scenarios; and shift-handoff logic. And is tunable for each company (and segregates and protects their IP).
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02 - SIMULATE
Real-pressure roleplay
A TW-born engineer, newly promoted to shift supervisor, faces a 2am contamination escalation with a mixed-language team. ALUVA simulates the scenario and scores response and communication under pressure.
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03 - PREDICT
Human performance dashboard
Ramp Speed Index. Defect Risk Score. Retention Likelihood by cohort. Flag who will hit yield targets before deployment - and who could cause failures.
The Experience
Relevant. Engaging. Just-in-time.
Most workplace training fails for the same reasons: it arrives too early, feels generic, and asks nothing of the learner. ALUVA flips the model: scenario-based, role-specific, engaging, and delivered as it's needed. Workers can practice real situations just before they're in them.
In today's fast-moving world, timing is everything. Your content needs to adapts as quickly as your needs change.A performance prediction system that continuously trains, simulates, and scores your workforce, before it costs $1.5M/hr to find out.
01 - SCENARIO-BASED
Practice before the moment.
AI-driven roleplay puts your people in realistic situations: a new supervisor navigating a team conflict or a new hire handling a shift handoff before they face it for real. Learning that sticks because it is real, and it is relevant.
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02 - CUSTOMIZABLE
Built for your content.
Content is tailored to your business, your team makeup, and your specific challenges, not pulled from a generic library. As your needs shift, so does the training. New role? New site? Updated in days, not months.
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03 - JUST-IN-TIME
The right skill, right now.
Training accessible when it's relevant to what someone is about to do or going through, not front-loaded into an induction week people forget. Shorter, sharper modules that respect your people's time and attention.
Beta results
These aren't survey results. They're operational metrics.
90%
Engagement rate
vs. <20% industry average
85%
Knowledge retention
vs. <15% industry average
3x
Performance improvement
Measured across cohort
Get started
Start with a 90-day Early-Adopter Program.
We prove readiness lift before you commit to enterprise terms. Cloud-hosted, fast to deploy, no infrastructure required on day one.
What's included in every program
Let's start with a structured analysis, where we measure ramp speed, engagement, and retention signals from day one, so you have data before the conversation about scale.
DURATION
90 days
DEPLOYMENT
Cloud-hosted
MODULES
Cultural, Onboarding, Supervisor
DELIVERABLE
Readiness lift report
About ALUVA
Built at the intersection of two worlds.
The world is investing hundreds of billions in semiconductor and advanced manufacturing infrastructure. Almost nothing goes into the human operating system that runs it. We're here to fix that - from both sides of the Pacific.
"We aren't just building an app. We are building the communication and operational layer for the world's most critical industry."
~ ALUVA founding team
Leadership
Deep-tech expertise. Cross-cultural DNA.
Our team has spent decades at the intersection of workforce training, brain and learning science, gaming, deep tech, and enterprise-class scalable AI solutions.
CP
Carrie Pederson
畢凱俐
CEO - The Catalyst
3x founder with a track record across Microsoft, the University of Washington faculty, and the Government of Shanghai. A global workforce training and certification expert and proven bilateral deal-maker who has spent her career at the intersection of Asia and the West.
MICROSOFT3x FOUNDERASIA MARKETSWORKFORCE TRAINING
MT
Mark Tseng
曾柏凱
CPO - The Engine
2x founder and veteran of NetDragon and Aihu Digital. An AI, monetization, and gaming specialist who understands how to turn training into experiences workers actually want to use - and come back to. The architect of ALUVA's simulation layer.
2x FOUNDERNETDRAGONAI SYSTEMSGAMING
SC
Shafeen Charania
COO - The Strategist
3x founder, chair of HTH Graduate School of Education, and veteran of Microsoft and IBM. Steeped in AI, deep-tech analytics, and B2B monetization. Responsible for building ALUVA's data moat into the Human ROI benchmark that CFOs and operations leaders demand.
3x FOUNDERMICROSOFT ~ IBMDEEP TECHB2B
Ready to build the human operating system?
We're looking for pilot partners, advisors, and investors who believe the workforce problem is as urgent as the silicon problem.