Adaptive AR guidance for right-first-time assembly
Hands-free holographic assistance with real-time feedback, helping operators onboard faster, execute consistently, and reduce errors on the shop floor.
20%
Rework costreduction
40%
Training timereduction
15%
Throughputimprovement
20%
Preventable errorreduction
Patent application filed
GB2602833.2 • February 2026
News highlights
Recent programmes and awards
External recognition and grant wins that support our focus on manufacturing execution.
Holovast secures Innovate UK funding for AIRPAV, a feasibility study aimed at improving returnable packaging visibility, resource efficiency, and manufacturing resilience.
By Holovast Media • 2026/02/01 09:00:00
3 min read
Holovast is selected for Innovate UK's Global Business Innovation Programme (USA), supporting North American pilot partnerships and commercial expansion.
By Holovast Media • 2025/12/18 09:00:00
3 min read
Holovast is selected for the MaRS x Innovate UK Made Smarter Innovation programme in Canada, supporting North American pilot readiness and partner engagement.
By J-Wadel Media • 2025/10/15 09:00:00
3 min read
Holovast secures Innovate UK funding for AIRPAV, a feasibility study aimed at improving returnable packaging visibility, resource efficiency, and manufacturing resilience.
By Holovast Media • 2026/02/01 09:00:00
3 min read
Holovast is selected for Innovate UK's Global Business Innovation Programme (USA), supporting North American pilot partnerships and commercial expansion.
By Holovast Media • 2025/12/18 09:00:00
3 min read
Holovast is selected for the MaRS x Innovate UK Made Smarter Innovation programme in Canada, supporting North American pilot readiness and partner engagement.
By J-Wadel Media • 2025/10/15 09:00:00
3 min read
Technology provenance & external references
Innovate UK Smart Grant provenance (ARVAST R&D)
Holovast traces its technical foundation to ARVAST Smart Grant R&D and related public commercialisation announcements.
AI Skills Hub publication
PwC publishes the ARVAST case study, highlighting how AI enables on-the-job learning. Access is members-only and requires sign-in
Innovate UK Smart Grant provenance (ARVAST R&D)
Holovast traces its technical foundation to ARVAST Smart Grant R&D and related public commercialisation announcements.
AI Skills Hub publication
PwC publishes the ARVAST case study, highlighting how AI enables on-the-job learning. Access is members-only and requires sign-in
Assembly variability drives rework, training cost, and quality escapes
Even well-designed processes fail on the shop floor when steps are missed, context changes, or training cannot keep pace. Teams need guidance that adapts to the task and the operator, plus verification that happens inside the flow of work.
Variability across shifts
Critical steps drift when execution depends on memory.
Long ramp time
Training struggles to keep up with line changeovers.
Late defect discovery
Issues surface at end-of-line inspections or after shipment.
What operations teams measure
These are the operational outcomes we scope in pilots and review with quality, training, and manufacturing leadership.
Reduced training time for new operators
Faster ramp to competence for new and cross-trained operators.
Reduced error rates or rework
Catch issues earlier and reduce preventable defects and rework loops.
Faster task completion
Help operators complete critical tasks faster without losing control.
Better standard work compliance
Improve adherence to defined steps across operators, shifts, and lines.
Improved traceability and audit readiness
Structured records tied to steps, time, and outcomes for review and compliance.
Reduced dependence on expert operators
Use guided execution to reduce bottlenecks around limited expert capacity.
Improved safety outcomes
Support safer task execution through clearer checks and step-level confirmation.
Throughput stability
Maintain takt while adapting to variants and skill level.
Now onboarding pilot partners across aerospace, automotive, and other assembly-intensive manufacturers.
Industries
Built for assembly-intensive, regulated manufacturing environments
From aerospace and automotive to industrial equipment and precision electronics, Holovast supports high-accuracy assembly where quality, traceability, and workforce readiness matter.
Aerospace and MRO
High-mix aerospace builds need guided execution and step-level evidence to keep quality, safety, and consistency high.
Automotive and Tier-1 suppliers
Fast takt lines and variant complexity raise defect risk, so teams need consistent execution and faster ramp-up.
Industrial equipment assembly
Complex equipment builds need steps and verification so tooling changes and operator drift do not cause defects.
Electronics and precision assembly
Support high-accuracy steps and verification in tight-tolerance builds with repeatable execution across all shifts.
Aerospace and MRO
High-mix aerospace builds need guided execution and step-level evidence to keep quality, safety, and consistency high.
Automotive and Tier-1 suppliers
Fast takt lines and variant complexity raise defect risk, so teams need consistent execution and faster ramp-up.
Industrial equipment assembly
Complex equipment builds need steps and verification so tooling changes and operator drift do not cause defects.
Electronics and precision assembly
Support high-accuracy steps and verification in tight-tolerance builds with repeatable execution across all shifts.
Core capabilities
Pilot programme underway. Capabilities are delivered in phased pilot scope by workflow, station context, and quality objective.
Adaptive guidance
Step instructions adjust to operator skill, task complexity, and station context so teams standardise execution without slowing down.
In-flow quality checks
Lightweight checks confirm critical conditions at the right moment, reducing missed steps and preventing downstream defects.
Evidence and traceability
Every critical action links to time, step, and outcome so supervisors can review, improve, and prove compliance.
How pilot engagement works
A three-step delivery path from workflow scoping to measured outcome review.
Define pilot scope
Select one high-impact workflow, target station, and baseline KPIs.
Run guided execution
Deploy guidance for live operators and monitor in-process adherence.
Review impact outcomes
Compare baseline vs pilot results and agree scale-up priorities.