Aivar puts governed AI agents to work across manufacturing quality, dealer operations, and aftersales service. Deployed inside your own cloud, audited at every step, and live in weeks.
Automotive runs on precision, on the line and in the showroom. Every part needs to pass inspection, every customer question needs a fast answer, and every service appointment needs to happen on schedule. Aivar brings frontier AI models into production for manufacturing, dealer, and aftersales teams, wrapped in governance that satisfies quality and compliance standards from day one.
Every accelerator deploys inside your own AWS account or plant infrastructure, so production and customer data never leaves your environment.
From manufacturing to aftersales, each accelerator is tuned to the workflows and standards that define your business.
Computer-vision defect detection and MES-integrated quality checks that catch issues before they leave the line.
Lead qualification, inventory questions, and deal-desk support that speed up the sales floor.
In-vehicle and app-based support that answers owner questions without a call to the dealership.
Service scheduling, parts lookup, and warranty questions handled end to end.
Three accelerators, two foundations, one architecture built to survive an audit.
Handles sales-floor questions, service scheduling, and owner support conversations across voice, chat, and in-app, with every interaction logged for review.
>> Conversational AI for dealer, service, and owner support <<
Runs document-heavy processes such as quality inspection reporting, warranty claims, and parts documentation end to end, with every decision traced back to the standard that produced it.
>> Governed automation for quality and warranty 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 ceramics studio serving hospitality and design clients, turning a multi-hour process into minutes.
Scaled critical, real-time customer messaging for banking, e-commerce, and government clients across India to millions of end consumers.
Migrated an Amazon product-listing platform to a generative AI architecture, delivering 80% faster listing generation and 70% higher accuracy for e-commerce sellers.
.svg)
No. Every Aivar accelerator deploys inside your own AWS account or plant infrastructure. Production, customer, and vehicle 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, not only in a public cloud.
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 automotive-specific workflows such as quality inspection, dealer operations, and warranty processing, with the audit trail your quality and compliance teams need, and priced against the outcome delivered rather than tokens or seats.
.svg)
.svg)
.svg)
.svg)
