Monte Carlo's website preview

Well Run profileThe Chase Pack · #671 of 720

Position 671

Monte Carlo

Data and AI observability platform

Pace
6:30/kmCool-down1.25
Distance
Distance 10K.
Open ops roles
—
Last week
#561
Move
▼ 110
Peak
#561
Weeks in the 100
0
The Chart →
Rank and score over time
Board rank
#551#602#653#561Oct 18#643Oct 25
Pace score
02461.3Oct 181.3Oct 25

One point per Sunday re-rank, tracking since Oct 18. The lines fill in week by week.

Monte Carlo runs in the Cool-down lane (6:30/km): 15 of 64. Further right = more momentum. No competitors on the board yet, so it runs alone.
Total raised
$236Msee rounds ↓
Founded
2019
HQ
San Francisco, CA

Leadership

The problem

Bad data and unreliable AI outputs break products and decisions

What they do

Data and AI observability platform

Traction Established enterprise customer base

Hiring trend

Open roles
10

30% layoff Mar 2026

Hiring in

  • London
  • Denver
  • Boston
  • Remote (US)

Latest news

May 2026

Pivoted toward agent trust / AI observability

Funding

Last round
$135M
Stage
Series D
Date
May 2022

Led by IVP

Distance

10K · edge: hard to leave

Data observability pioneer, but cut ~30% of staff and has no funding since 2022.

Sources: AIimpacted: Monte Carlo cut 30% of team (Mar 2026) ↗

Watch-outs

~30% layoff in Mar 2026; no new funding since 2022

Open ops roles

No ops roles open right now

Last checked Oct 25, 2026

Funding historyTotal raised $236M

  1. May 2022Series D$135Mat $1.6BLed by IVP businesswire.com ↗
  2. Aug 2021Series C$60MLed by ICONIQ Growth techcrunch.com ↗
  3. Feb 2021Series B$25MLed by GGV Capital and Redpoint techcrunch.com ↗
  4. Sep 2020Series A$16MLed by Accel news.crunchbase.com ↗

Profile facts checked Oct 19, 2026. Every fact links to its public source.

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