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Vertical + Enterprise · Private company · Growth

Raindrop

✓ Verified

Raindrop focuses on the reliability layer for deployed agents, combining production traces, learned issue detection, investigation, experiments, and pre-deployment simulations.

San Francisco, USFounded 2023API accessWeekly review

Editorial intelligence brief

What matters now

weekly watch

Announced a Series A and $50M in total funding on September 17, 2026 while opening Raindrop Simulations to broader early access ahead of planned general availability.

Focus: Monitoring, failure detection, evaluation, and simulation for production AI agents

Latest funding

$50M

Total funding reported · source-backed

Tracked funding

$50M

Sum of itemized funding events

Latest valuation

Not tracked

No source-backed record

Latest revenue

Not tracked

Growth lifecycle position

Source-backed financial history

Funding and financial history

Funding, valuation, revenue, and debt are kept separate so unlike measurements are never presented as one trend.

partial coverage · 1 record

Records

1

Sum of recorded funding

$50M

Coverage

partial

Partial history: earlier or intervening rounds may be missing. The sum covers only the announcements recorded here, not lifetime funding. Announced commitments may be paid over time; this is not a cash balance. Dates show announcements or first public reports, which can follow the investment itself.

#1

Total funding reported · $50M

Running tracked total: $50M

Sources and details for every recorded funding announcement, newest first.

Chronological activity

What changed

View the complete market log →

Announced a Series A and $50M in total funding on September 17, 2026 while opening Raindrop Simulations to broader early access ahead of planned general availability.

A structured event record is still being assembled for this company.

Product surface

Products and model families

Recent models

rd-signal-2

Products

RaindropRaindrop SimulationsSignals 2.0Triage AgentWorkshop

Open weights

No

API access

Yes

Review cadence

Weekly

Market position

Lifecycle and strategic signals

Research

Preview

Growth

Deployment

Growth: Public access & scaling

Focus

Monitoring, failure detection, evaluation, and simulation for production AI agents

Signals

Agent observabilitySafetyDeveloper tooling

Taxonomy

Agentic Coding Toolsagentsobservabilityevaluation

Competitive context

BraintrustArize AILangSmith

Infrastructure & distribution

Where Raindrop sits in the AI stack

Model / product operator
01

Model layer

1 tracked model family

02

Access layer

Managed API

03

Market layer

Vertical + Enterprise

Public product surface

RaindropRaindrop SimulationsSignals 2.0Triage AgentWorkshop

Stack signals

agentsobservabilityevaluationAgent observabilitySafetyDeveloper tooling

This section reflects publicly visible product and access signals. Undisclosed GPU, cloud, training, and data-center contracts are not inferred.

Evidence trail

Sources and corrections

Primary and public sources used to verify the structured company profile.

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