Titanio

AI Employees for Distributors

2.7Score#436 of 999 agents#8 of 17 in Order desk

Why it ranks #436

Titanio, an AI order desk from YC S24, ranks #436 of 999 AI agents and #8 of 17 in Order desk, with a score of 2.7 of 10. Data as of 3 Oct 2026.

The score adds four parts, each 0 to 10, by weight. Every point comes from public evidence. How scoring works ·

Proof 4 × 30% 1.2
Scale 2 × 30% 0.6
Momentum 0 × 25% 0.0
Autonomy 6 × 15% 0.9
= 2.7

Proof
Do customers use it? 30% of the score
4
Claims revenue or growth.
- +4
  Revenue or growth
  “We all worked together at our last YC-backed startup, building it to over $6M in revenue.”
  Launch YC post · 11 Sep 2024 · 2 claims
Not found: named customers (+3), a customer result (+2), a customer count (+2), work done at scale (+2)
Scale
Is there a real company behind it? 30% of the score
2
4 people.
- +2
  4 people on its YC page3 or 4 people
Not found: funding round in its news (+3)
Momentum
Is it shipping and growing now? 25% of the score
0
Nothing new in the last 6 months.
Not found: launch YC post in the last 6 months (+3), open roles on YC (+2), new traction claim in the last 6 months (+2), funding news in the last year (+2), a batch in the last year (it is YC Summer 2024) (+1)
Autonomy
How much of the job does it do on its own? 15% of the score
6
Supervised agent: takes actions in other systems; a person approves key steps.
- +6
  Level 2 of 4: Supervised agentTakes actions in other systems; a person approves key steps.
What the model read
- Acts in other systems: 92% likely
- Finishes whole tasks: 45% likely
- Calls itself an agent: 97% likely
Level 2: Takes actions in other systems; a person approves key steps.

About Titanio

Titanio is a suite of AI Employees for Wholesalers & Distributors. Instead of relying on humans to quote, take orders, collect payments, place purchase orders and enter data into ERPs. We build AI Employees that do these manual repetitive tasks for the 700k wholesalers in the US.

We’re a team of three Computer Science majors, and Fernando launched and grew AT&T in Mexico to $120M ARR. Previously, we all worked together at our last YC-backed startup, building it to over $6M in revenue. It was there that we placed thousands of purchase orders with wholesalers.

We realized that almost every physical product comes from B2B sales in the supply chain. However, it turns out that most of these operations are still done manually through phone and email, involving tasks like quoting, taking orders, collecting payments, entering data into ERPs, and providing support. By automating these tasks with AI agents in a human-like manner, we are creating a massive opportunity to convert $100B of payroll expenses into software spending.