Aivar puts governed AI agents to work across engineering velocity, customer support, and billing operations. Deployed inside your own cloud, audited at every step, and live in weeks.
Startups and SaaS companies run on velocity, and velocity runs out the moment support tickets, billing exceptions, or engineering backlog start piling up. Aivar brings frontier AI models into production for engineering, support, and billing teams, wrapped in governance that keeps every action traceable as you scale.
Every accelerator deploys inside your own cloud account, so customer and product data never leaves your infrastructure.
From engineering to billing, each accelerator is tuned to the workflows that define your business.
AI-assisted development workflows that ship features faster without cutting review out of the loop.
Tier-1 support, onboarding, and renewal conversations handled across chat and email, around the clock.
Invoicing, dunning, and subscription changes automated end to end, with every change traceable.
Content tagging, moderation, and recommendation for media and learning platforms.
Three accelerators, two foundations, one architecture built to survive an audit.
Handles tier-1 support, onboarding, and renewal conversations across chat, voice, and in-app, with every interaction logged for review as your team scales.
>> Conversational AI for support, onboarding, and success <<
Runs document- and rules-heavy processes such as invoicing, dunning, and subscription changes end to end, with every decision traced back to the policy that produced it.
>> Governed automation for billing and operations workflows <<
Trains and serves the models behind your product, from recommendation to content moderation, inside your own VPC, with full audit trails and cost visibility built in.
>> Infrastructure for engineering and content models <<
A sample of the engagements we've shipped.
Consolidated a six-region Azure estate onto a single governed AWS Landing Zone for an AI-native SaaS company, migrating 70+ workloads in six weeks.
Hardened multi-region AWS infrastructure with layered security controls and identity-based access management for a cloud-native SMB/mid-market platform.
AI-powered ticket validation and routing for a global CPaaS provider, cutting processing time from 8 hours to 15 minutes at 98% accuracy.
An AI voicebot automating startup-program outreach from first contact through follow-up, lifting outreach efficiency 60% with a 72% automation rate.
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No. Every Aivar accelerator deploys inside your own cloud account. Customer, product, and usage data stay on your infrastructure throughout.
Yes. Aivar accelerators come with a human-in-the-loop console and a governance layer already built in, so a lean team gets enterprise-grade oversight without hiring a platform team to build it.
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 one-off productivity tasks. Aivar's accelerators are built to run production workflows like support, billing, and engineering delivery continuously, with governance and an audit trail built in, and priced against the outcome delivered rather than tokens or seats.
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