Aivar puts governed AI agents to work across quality inspection, shop-floor operations, and procurement. Deployed inside your own cloud or plant infrastructure, audited at every step, and live in weeks.
Manufacturing runs on tolerances, and tolerances run on inspection. Every part needs to pass quality checks, every machine needs to stay online, and every procurement decision needs to be documented. Aivar brings frontier AI models into production for quality, shop-floor, and procurement teams, wrapped in governance that satisfies ISO and IATF standards from day one.
Every accelerator deploys inside your own AWS account or plant infrastructure, so production and supplier data never leaves your environment.
From incoming inspection to finished goods, each accelerator is tuned to the workflows and standards that define your operation.
Computer-vision inspection that catches defects in real time, integrated with your existing quality systems.
Production data, downtime tracking, and shift reporting, pulled together without a manual handoff.
Purchase orders, invoice matching, and supplier documentation, automated end to end.
Predictive maintenance alerts and service scheduling that keep equipment running.
Three accelerators, two foundations, one architecture built to survive an audit.
Handles shift-handoff questions, supplier coordination, and field-service scheduling conversations across voice, chat, and in-app, with every interaction logged for review.
>> Conversational AI for shop-floor and supplier support <<
Runs document-heavy processes such as quality inspection reporting, invoice three-way matching, and supplier documentation end to end, with every decision traced back to the standard that produced it.
>> Governed automation for quality and procurement workflows <<
Trains and serves computer-vision defect-detection and edge-inference models inside your own VPC or plant infrastructure, with full audit trails and cost visibility built in.
>> Infrastructure for defect-detection and edge models <<
A sample of the engagements we've shipped.
Automated quoting operations for a UAE ceramic tableware manufacturer, freeing up time previously spent on repetitive, manual tasks.
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No. Every Aivar accelerator deploys inside your own AWS account or plant infrastructure. Production, quality, and supplier data stay on your infrastructure throughout.
Yes. Kubogent runs on Kubernetes wherever your infrastructure lives, including on-prem or edge deployments for line-side inspection.
Most engagements move from discovery to a working proof of concept in one to two weeks, and into production within another six to eight, depending on integration scope. We build for production from day one rather than treating pilots as throwaway work.
General AI tools are built for generic productivity tasks. Aivar's accelerators are tuned to manufacturing-specific workflows such as quality inspection and MES integration, with the audit trail ISO and IATF standards require, and priced against the outcome delivered rather than tokens or seats.
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