Tarvon was founded by Andrew Hawthorne — an operations practitioner who started deploying AI agents to solve his own problems, then realized the approach worked for other businesses too.
Most AI products ask for your trust upfront. We think that's backwards. Every Tarvon agent starts with minimal access and simple tasks. Trust is earned through demonstrated reliability — the same way you'd onboard a new team member.
We're not interested in AI that looks cool in a demo but fails in production. Every agent we deploy handles real, boring, operational work. The kind of work that eats your week without producing proportional value. That's where the ROI is — not in flashy features.
Your agents run on your infrastructure, work with your data, and belong to you. If we part ways, everything stays. We think vendor lock-in is a design flaw, not a business strategy.
AI agents are excellent at pattern-based, repetitive, rule-following work. They're not good at genuine creativity, complex judgment, or the kind of relationship-building that makes a business special. We deploy agents where they're strong and keep humans where humans are irreplaceable.
The idea behind Tarvon came from a simple observation: most businesses waste enormous amounts of time on operational tasks that follow predictable patterns. Email triage, scheduling, data entry, report generation — the work that keeps the lights on but doesn't move the needle.
AI agents can handle this work. Not in theory — in practice, right now. But the gap between "AI can do this" and "AI is doing this for your specific business" is wider than most people realize. It takes deployment expertise, integration work, ongoing monitoring, and — critically — a trust framework that prevents AI from doing more than it should before it's ready.
That's the gap Tarvon fills. We take the operational work that's eating your team's time and hand it to purpose-built agents. We deploy them, monitor them, optimize them, and make sure they actually work — not in a demo, but in the daily grind of your business.
Andrew's background is in operations, not AI research. That's why Tarvon works: it's built by someone who understands the problems these agents solve, not just the technology behind them.
You'll always know what your agents are doing, how they're performing, and what they cost. No black boxes, no surprise bills, no mysterious decisions.
If AI isn't the right solution for a particular problem, we'll say so. We'd rather lose a deal than deploy an agent that doesn't deliver results.
Your data, your agents, your infrastructure. We provide the expertise and ongoing management — you own everything else.
We measure success in hours reclaimed and problems solved — not features deployed. If an agent isn't producing measurable value, we fix it or remove it.