From approved knowledge to proven physical work
Holovast turns approved operational knowledge into governed workflows, executed by humans today and physical agents tomorrow. AI may draft the work and detect or correct deviations, but only reviewed, published versions ever run.
Five UK patent applications filed in 2026
All five applications are pending.
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, scarce experts
Training cannot keep pace, and critical know-how stays locked in a few expert heads.
Late defect discovery
Issues surface at end-of-line inspections or after shipment, when rework is at its most expensive.
AI without governance
AI could help, but unchecked drafts and answers cannot be trusted near critical work.
One governed platform guides the work and proves it
Holovast governs what AI may instruct, what a person or agent may act on, what evidence is required, and whether physical work may proceed.
One approved way, every shift
Everyone runs the same reviewed, published version, guided step by step at the point of work.
Know-how that stays and teaches
Expert knowledge becomes governed guidance and Learning Paths, so new hands learn from the platform, not only from the expert.
Proof in the flow of work
Critical steps carry evidence gates, so deviations are caught and corrected in the moment, not at inspection.
AI under one control model
AI drafts, answers, and checks cite your approved sources, and only reviewed, published versions ever reach your team.
One platform, two current human execution modes
At the desk and on the job are the two current human execution modes on the same workflow engine. Device provisioning sits alongside them as a deployment service.
At the desk
New joiners land on their first-weeks journey from day one, and managers see progress and sign-off without chasing spreadsheets.
On the job
Hands stay on the work while guidance follows the task, on tablet or in AR, and proof is captured as the work happens.
Devices, provisioned
Headsets and tablets arrive configured, enrolled, and ready to run your workflows: one less project for your IT team.
Governedexecution
Everything Holovast does feeds the same loop
Author and approve
Expert know-how stops leaving with the experts. It becomes approved, reusable guidance, and nothing unreviewed ever reaches your team.
Control where operational data runs
Runs where you decide
Our cloud, your cloud, or fully on your premises. Your deployment is set up around your IT, data-residency, and recovery requirements.
Only the evidence you choose
Evidence capture is configured per workflow: results, readings, and sign-offs rather than continuous footage, kept as long as you decide.
Safety stays yours
Holovast governs instruction and evidence. Your safety-rated controls, certified interlocks, and emergency procedures stay exactly as they are.
Need the details?
The full deployment and security pack, covering responsibilities, data flows, retention, and recovery, is shared with evaluating teams under confidentiality.
Your systems dispatch the work.
Holovast makes sure your workers do it right.
Work orders become guided work
The job your MES sends out stops being a document to read. Your worker follows it step by step on a tablet or in augmented reality, right at the workstation.
Proof comes back by itself
As each step is done and checked, results and sign-offs are recorded as the work happens, so what was planned stays traceable to what was actually done.
Adoption
Fits how you already work
Holovast joins your stack instead of replacing it.
Bring your own AI
Works with the models and AI platform you already have.
Data science stays yours
Datasets, training, and experiments stay in your hands.
Enhances, does not replace
Your MES, QMS, and LMS stay the systems of record.
Runs where you need it
Managed cloud, private cloud, or on-premises, your call.
What operations teams measure
There is more we can measure than fits here: together we choose what matters most, agree the baseline, and track it through your deployment.
Reduced training time for new operators
Faster ramp to competence across your workforce.
Reduced error rates or rework
Catch issues earlier and cut preventable rework.
Faster task completion
Critical tasks completed faster, without losing control.
Better standard work compliance
Defined steps followed across operators, shifts, and lines.
Improved traceability and audit readiness
Records tied to steps, time, and outcomes, review-ready.
Reduced dependence on expert operators
Fewer bottlenecks around limited expert capacity.
Support safer execution
Safer execution through clearer checks and confirmations.
Throughput stability
Maintain takt while adapting to variants and skill level.
Configure the deployment you have in mind
Plans are priced per site, and your configuration travels with your application, so we respond to the deployment you have in mind.
How an engagement starts
Onboarding starts in the browser. A shop-floor deployment starts bounded: one workflow, one station, measured against your baseline.
Define the deployment 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 and deployment results and agree scale-up priorities.