Startup profile · funding coverage
Distributional funding, valuation and investors
AI evaluation platform measuring production ML model quality, drift, and reliability.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series A
$19M · October 2024
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$30M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
series a · Portland, Oregon
Overview
Distributional provides an AI evaluation platform for production ML systems — helping teams measure model quality, drift, and reliability in live deployments rather than offline benchmarks alone. Raised $11M seed in December 2023 led by a16z, then $19M Series A in October 2024 led by Two Sigma Ventures with a16z participating.
Why Distributional is interesting
Production ML eval is the missing layer between training and deployment — a16z seed and Two Sigma Series A as enterprises deploy AI at scale.
Product & use cases
Continuous evaluation of production ML models — detecting drift, quality degradation, and reliability issues in live systems.
- Monitoring production LLM and ML model quality
- Detecting data drift before it impacts predictions
- Enterprise AI governance and compliance reporting
Key facts
- Series A (Oct 2024): $19M led by Two Sigma Ventures; a16z (TechCrunch)
- Seed (Dec 2023): $11M led by a16z
Funding history (newest first)
Series A
2024-10 $19MSource: https://techcrunch.com/2024/10/distributional-series-a/
Investors in our directory
Funds linked from Distributional's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Production-focused eval vs. offline benchmark tools — catches issues live systems expose.
ML observability is growing as enterprises deploy models. Distributional competes with Arize and Fiddler on production monitoring — differentiation is eval methodology and enterprise integrations.
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Weights & Biases adjacent
ML experiment tracking; less production eval focus.
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Arize AI direct
ML observability and model monitoring.
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Fiddler AI direct
Model monitoring and explainability.
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WhyLabs direct
AI observability platform.
Notable stories
- Two Sigma Ventures led Series A — quant-firm validation that production ML eval is infrastructure, not a feature (TechCrunch, 2024).
Industries
FAQs about Distributional
Practical answers founders, operators, and investors typically search for.
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