Dialogus

The AI-native contact center

3.9Score#177 of 999 agents#17 of 35 in Customer support agent

Why it ranks #177

Dialogus, an AI customer support agent from YC S26, ranks #177 of 999 AI agents and #17 of 35 in Customer support agent, with a score of 3.9 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 2 × 30% 0.6
Scale 2 × 30% 0.6
Momentum 6 × 25% 1.5
Autonomy 8 × 15% 1.2
= 3.9

Proof
Do customers use it? 30% of the score
2
Claims work done at scale.
- +2
  Work done at scale
  “Today, Dialogus is already powering AI voice operations for Fortune 500 enterprises, handling thousands of customer calls in production.”
  Launch YC post · 24 Jul 2026
Not found: revenue or growth (+4), named customers (+3), a customer result (+2), a customer count (+2)
Scale
Is there a real company behind it? 30% of the score
2
3 people.
- +2
  3 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
6
Shows a recent launch, a new claim and a new batch.
- +3
  Launched in the last 6 monthsDialogus: Building the infra for enterprise voice agentsLaunch YC post · 24 Jul 2026
- +2
  A new traction claim
  “Today, Dialogus is already powering AI voice operations for Fortune 500 enterprises, handling thousands of customer calls in production.”
  Launch YC post · 24 Jul 2026
- +1
  New: YC Summer 2026
Not found: open roles on YC (+2), funding news in the last year (+2)
Autonomy
How much of the job does it do on its own? 15% of the score
8
Autonomous worker: completes whole tasks; people handle exceptions.
- +8
  Level 3 of 4: Autonomous workerCompletes whole tasks; people handle exceptions.
What the model read
- Acts in other systems: 89% likely
- Finishes whole tasks: 59% likely
- Calls itself an agent: 97% likely
Level 3: Completes whole tasks; people handle exceptions.

About Dialogus

Dialogus builds self-improving AI voice agents for enterprise operations.

Our agents handle high-volume workflows across customer support, sales, collections, and other operational functions, integrating directly with the systems enterprises already use.

Our agents continuously learn from real conversations and business outcomes: identifying where interactions fail, proposing improvements, testing those changes across thousands of simulated conversations, and deploying better versions with human oversight.

The result is AI that doesn’t just automate calls, it gets better at doing the job over time.