Flai

We Bring Customers to Your Dealership

2.9Score#356 of 999 agents#17 of 42 in Receptionist

Why it ranks #356

Flai, an AI receptionist from YC S25, ranks #356 of 999 AI agents and #17 of 42 in Receptionist, with a score of 2.9 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 0 × 30% 0.0
Scale 5 × 30% 1.5
Momentum 2 × 25% 0.5
Autonomy 6 × 15% 0.9
= 2.9

Proof
Do customers use it? 30% of the score
0
No public claims of customers or revenue yet.
Not found: revenue or growth (+4), 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
5
35 people.
- +5
  35 people on its YC page20 to 49 people
Not found: funding round in its news (+3)
Momentum
Is it shipping and growing now? 25% of the score
2
Shows hiring.
- +2
  Hiring: 1 open roleRegional Account ExecutiveYC page
Not found: launch YC post in the last 6 months (+3), 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 2025) (+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: 93% likely
- Finishes whole tasks: 47% likely
- Calls itself an agent: 36% likely
Level 2: Takes actions in other systems; a person approves key steps.

About Flai

The problem we solve: 56% of dealership leads arrive after business hours, and most dealers lose these potential customers to competitors who happen to be available 24/7. Missing after-hours calls alone costs the average dealership $1M annually in lost revenue.

We built Flai to fix this - AI assistants that answer dealership calls 24/7, scheduling test drives, oil changes, or running outbound recall campaigns so no opportunity slips away.

The result: No more missed opportunities, no more losing customers to competitors.

Our founding team has built voice AI products at HappyRobot, scaled infrastructure at Uber for millions of users, and applied data science at Netflix to solve operational challenges.

We're not just answering phones, we're helping dealerships win in an AI-first world where availability determine who gets the sale.