Back & MSD strain
Repetitive lifting and bent postures are the leading cause of musculoskeletal disorders and illness-related absences.
The most powerful active
AI exoskeleton in the world
Exia relieves the strain on workers when lifting, carrying and working bent over — in logistics, production, care and anywhere physical work is part of everyday life. Active AI support that adapts in real time to the person and the task.
- Up to 38 kg of active lift support per movement
- AI-driven: adapts in real time to person, motion and task
- Closed housing, rugged & splash-proof (IP54)
- Proven in real shift operation — not a lab setup
38 kg
Lift support
30 +
Deployment environments
24 /7
Data platform
01 / 04● USE-CASE-CHECK
~ 2 MIN
Request a free use-case assessment
We'll get back to you within one business day with an initial assessment — no obligation.
No obligation. Together we'll assess whether and where Exia makes sense in your operation.
02 / Problem
When physical strain becomes a cost risk
Lifting, carrying and bent-over work are part of daily life in many industries — and can't be fully automated. That's exactly where absences, turnover and rising costs arise.
Skills shortage
Physically demanding roles are hard to fill — healthy, relieved employees stay in the job longer.
Not automatable
Many manual tasks can't be fully automated — robotics alone won't solve it.
Demographic change
An ageing workforce meets rising physical demands — relief becomes a competitive factor.
Wherever lifting, carrying and bent-over work can't be fully automated, Exia can help — right at the existing workstation, without rebuilding the process.
● The product
Human intelligence — combined with robotic power
Exia is the world's first exoskeleton with real AI power. It combines human adaptability and intelligence with active robotic support: up to 38 kg per lift, smooth transitions between modes and an on-device AI that learns from billions of real movement data points and adapts in real time to person and task.
38 kg
Active support
On-Device
AI adaptation
IP54
Rugged & splash-proof
Closed
Closed housing
More safety and performance — in three modes
Lifting & lowering
Adds extra power and supports posture — reduces injuries and boosts productivity.
Static hold
Prolonged work in a bent posture no longer strains the lower back.
Walking support
Reduces fatigue with extra energy on every step.
360° human augmentation with AI
Fully connected and designed around people: the exoskeletons' usage data feeds into advanced machine learning. That's how AI enables Exia to continuously adapt to people's individual needs, movements and tasks in real everyday work.
- Smart Safety CompanionAI-powered early-warning system for ergonomics
- German Bionic IO platformComprehensive AI-driven data analytics, monitoring and reporting to optimise work processes
- German Bionic Connect appIntegrated and recognises the user as an integral part of the system, with bidirectional feedback
03 / Industries
For workplaces where lifting, carrying and moving happen every day
Exia is built for real everyday work in physically demanding industries — from the distribution hall to the care ward.
Airports & Baggage Handling
- Gepäckhandling am Band
- Verladen unter Zeitdruck
- Ramp & Hold-Belastung
- Lange Schichten
Care & Health
- Patiententransfers
- Mobilisation
- Reinigung & Logistik
- Schichten mit hoher Last
- Attraktivere Arbeitsbedingungen
Food & Fresh-Produce Logistics
- Kommissionieren von Obstkisten
- Palettieren & Depalettieren
- Be- und Entladen der Kühlzüge
- Empfindliche Frischware
- Kühlbereich-Schichten
Logistics & Intralogistics
- Kommissionierung
- Be- und Entladen
- Palettieren / Depalettieren
- Lagerbewegungen
- Lange Laufwege
Exia in action
06 / Evidence
Proven in real work environments
No lab demos. Exia runs in distribution centres, on assembly lines, on construction sites and on care wards — in real shift operation.
❝
“Our team was enthusiastic from day one and uses the devices every day. Our younger colleagues in particular can't wait to put them on and hit the start button. The devices are very easy to use — everyone knows immediately what to do.”
Johannes HimbertManaging Director · Himbert GmbH · fruit & vegetable wholesaler
[ PRESS & AWARDS ]
[ SELECTED DEPLOYING COMPANIES ]
DACHSER
BMW Group
DB Schenker
Fraport
Siemens
REWE
Vinci
Charité
07● Use-case check
Check whether Exia fits your area of operation.
Briefly describe your tasks and main strain points — we'll get back to you with an initial expert assessment. No obligation, within one business day.
- ✓Initial call with an application engineer — not a sales funnel.
- ✓A concrete answer on whether & where Exia makes sense in your process.
- ✓Optional on-site demo or pilot with defined KPIs.
- ✓Data protection per GDPR. NDA on request.
FORM● USE-CASE-CHECK
04 / 04 FIELDS REQUIRED
By submitting, you consent to the processing of your data in accordance with our privacy policy. We'll get back to you within one business day.
08 / FAQ
Common questions before the use-case check
For physically demanding tasks like lifting, carrying, walking, loading and unloading, order picking and working in a bent posture. Exia supports several types of movement — not just one special case.
No. Exia can be used in logistics, intralogistics, production, construction, baggage handling and care. We'll work out together which tasks in your operation are suitable in the use-case check.
In the use-case check you receive, within 1–2 weeks, an expert assessment of which tasks and workplaces are best suited — before anything is installed on site.
Not necessarily. Exia integrates into existing processes — employees keep their familiar workflows. We'll clarify which adjustments make sense in your specific case during the use-case conversation.
What matters is the right areas of use, clear communication, wearing comfort and a gradual roll-out. We support the roll-out together with the works council and shift leadership.
Updates arrive over the air — employees benefit continuously from improvements without devices being taken out of operation. Hardware service follows a defined SLA.