About Aviar AI
Engineering autonomous infrastructure for enterprise workflows.
We are a Austin, TX AI engineering firm partnering with forward-thinking enterprises. We don’t build toy demos or slide decks—we engineer fault-tolerant, battle-tested agent systems wired directly into your production databases and APIs.
How we got here
Proven engineering rigor, zero marketing fluff.
Alyster and Marcus lead Aviar AI. Before founding the company, they spent years as software engineers at Datadog, Confluent, PayPal, VMware, and Intel.
We started building AI agents when most enterprises were still writing AI policies, and joined Y Combinator with Aviar in 2025. 8 clients later, we know what breaks and what scales.
How we work
We use AI to build AI.
We're an AI native firm from the ground up. Every internal workflow at Aviar, including software engineering, code review, customer briefs, eval suites, and Slack, runs on agents we built ourselves.
We've been our own customer for three years, and we're model agnostic: Claude, OpenAI, or whatever is the best tool for the job. That's why every system we ship lands faster, with better defaults, than a firm just learning the toolset.
Aviar internal
Discovery call summarizer
Inbound lead qualifier
Customer brief drafter
Code review agent
Slack response agent
Our Principles
How we think about production AI
Crafted for Real Workloads
We build systems that live inside your production stack, complete with error recovery, edge-case routing, and real-time observability.
Zero Lock-In Architecture
Models evolve weekly. We design systems that benchmark and switch dynamically between Claude, OpenAI, and Gemini without rewriting business logic.
Zero Data Retention
Your data is your competitive edge. All agent workflows run within your VPC perimeter with zero training retention and rigorous access controls.
Proven P&L Payback
We measure success by hard numbers: hours saved, error rates slashed, and overhead reduced. We build only what pays for itself.
Founders
Alyster Bullock
Founder & CEO
Architects autonomous agent infrastructure and custom enterprise AI systems wired directly into mission-critical workflows at Aviar AI. UT Austin.
LinkedInMarcus Vance
Co-Founder & CTO
Architects autonomous agent orchestration, fault-tolerant execution runtimes, and real-time model evaluation engines at Aviar AI. Stanford University.
LinkedInReady to automate your most critical workflow?
Thirty minutes with both founders. Your systems, your constraints, where custom AI would pay back first.