WillItSurvive

Monte Carlo

Monte Carlo sells software that watches your data pipelines and flags problems before they wreck reports.

Losing its protection
Assessed 21 July 2026 · Evidence as of 21 July 2026
The structural protection is eroding.
On the recordSince 21 July 2026 · Checkable from 2026-2027 · Every call on the record Checkpoint: Next funding round or confirmed down-round announcement
The call

Monte Carlo built a real customer base but hasn't raised money in over four years while the platforms it depends on start building its product for free.

Monte Carlo helps companies watch their data systems for problems, like a security camera for databases. The company is struggling because larger rivals like Databricks and Snowflake are building similar tools directly into their own platforms, and AI chatbots can now do much of the work Monte Carlo charges for, like writing monitoring rules and finding what went wrong. The biggest sign to watch is whether Databricks and Snowflake actually start winning deals that Monte Carlo used to close, because that will show if the big platforms are really taking over or just copying without winning.

Why
01
AI pressure: Claude/OpenAI-class LLM agents automating rule-writing and incident triage. AI agents now do the manual triage work Monte Carlo used to sell, and Monte Carlo's own new agent tools run on the same third-party models everyone else can buy. Could AI do the core job? Yes, likely.
02
Bigger players: Databricks (LakeWatch), Snowflake, Salesforce Data Cloud. Databricks shipped native observability inside its own platform in 2026, and Snowflake and Salesforce are building the same thing into theirs. Could a giant copy it? Yes, easily.
03
What protects it. 400+ enterprise customers and years of accumulated data lineage that's costly to rip out, even if the tech gets copied.
What would change this call
Monte Carlo announces a new priced funding round or discloses a down-round. Shows whether investors still value it near or above the $1.6B 2022 mark.
Databricks LakeWatch or Snowflake native tools publicly cited as replacing Monte Carlo at named accounts. Would confirm platform incumbents are winning net-new deals Monte Carlo used to win.
Additional layoffs or headcount decline beyond the March 2026 30% cut. Would indicate deepening financial distress rather than a one-time reset.
Key numbers
  • 30% of staff cut in March 2026 (2026-03-30)
  • 50+ months since last funding round (2026-06-24)
  • Revenue estimated $43M-$88M, wide spread (2026-07-06)
Named risks
  • No priced funding round since May 2022 (50+ months), stale $1.6B valuation. Severity: high
  • Reported 30% workforce layoff in March 2026 signaling financial distress. Severity: high
  • Platform incumbents Databricks, Snowflake, Salesforce building native observability into core platforms. Severity: high
  • Core workflows (rule-writing, triage, root-cause analysis) automatable by generic third-party LLM agents with no proprietary model moat. Severity: medium
  • Public revenue estimates from third parties vary widely and are unreliable, obscuring true financial health. Severity: medium
Rivals, as read in July 2026
RivalDirectionEvidence
Databricksgaining onShipped native LakeWatch observability feature by 2026-03-30 despite naming Monte Carlo its 2025 Partner of the Year
Snowflakegaining onConverging on native data quality and observability features as of 2026 reporting
SalesforcecontestingData Cloud convergence on observability territory while also an investor in Monte Carlo's Series D (2022)
Acceldata, Anomalo, Bigeye, Datafold, Metaplane, Soda DatacontestingNamed as closest direct data-observability competitors as of 2025-09-09
Questions people ask
Is Monte Carlo profitable in 2026?
No profitability figures are disclosed. Monte Carlo cut 30% of its workforce in March 2026 per an industry newsletter, and it has not closed a priced funding round since its $135M Series D in May 2022, both signs of financial pressure rather than confirmed profitability.
Did Monte Carlo lay off employees?
Yes. An Orchestra newsletter reported on 2026-03-30 that Monte Carlo laid off 30% of its workforce, explicitly framed as happening 'under the guise of AI' implementation, coinciding with Databricks announcing its rival LakeWatch observability feature.
Who founded Monte Carlo Data?
Monte Carlo Data was founded in 2019 by CEO Barr Moses and CTO Lior Gavish, headquartered in San Francisco, California. The company pioneered the 'data observability' category before expanding into AI/agent observability.
Could AI replace Monte Carlo's product?
AI agents increasingly automate the monitoring-rule writing, incident triage, and root-cause analysis Monte Carlo originally sold as its core value. Monte Carlo's own Observability Agents (launched April 2025) run on third-party LLMs, not proprietary models, per its own launch statement.
Is Databricks a threat to Monte Carlo?
Yes. Databricks named Monte Carlo its 2025 Data Governance Partner of the Year (Sept 2025) but then shipped a native competing observability feature, LakeWatch, reported by Orchestra on 2026-03-30, putting a platform partner directly into Monte Carlo's core market.
Who owns Monte Carlo Data?
Monte Carlo is privately held and venture-backed, with investors including Accel, ICONIQ Growth, IVP, Redpoint, Salesforce Ventures, and GIC Singapore. Its last priced round was a $135M Series D in May 2022 valuing it at $1.6B; no acquisition has occurred.
Timeline
  • 2026-03-30Reported 30% workforce layoff; Databricks announces competing LakeWatch feature (Orchestra newsletter)
  • 2025-09-09Launched Agent Observability; named 2025 Databricks Data Governance Partner of the Year
  • 2025-04-17Launched Observability Agents, GenAI troubleshooting and monitoring-rule automation
  • 2022-05-24Raised $135M Series D led by IVP; valuation reached $1.6B
  • 2021-08-17Raised $60M Series C led by ICONIQ Growth; reported 800% YoY revenue growth
  • 2021-02Raised $25M Series B
  • 2019Founded by Barr Moses and Lior Gavish in San Francisco
Revision history
21 July 2026
First assessed. Losing its protection. The text above is fixed as of this date and is not edited afterwards.
In the same band
Sources