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mlflow

The open source AI engineering platform for agents, LLMs, and ML models.

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mlflow is a startup tracked by VC Deal Flow Signal through its public GitHub activity. This profile records its commit velocity, contributors, and signal type as a benchmark for investors.

GrowthUnited StatesAI & Machine Learning

Current Signal, Q2 2026

mlflow shows -56% commit velocity change with 444 active contributors (+0% growth). Signal type: Deceleration. 2 new repositories created in the last 30 days. Trend vs. prior quarter: decelerating (was +11% in Q1 2026).

Engineering acceleration is a sustained rise in a startup's public GitHub output - commits, contributors, new repositories, relative to its own baseline. It is a quantitative signal computed from public data, unrelated to accelerator programs.

Data sourced from public GitHub activity. Read our methodology

Engineering Metrics, Q2 2026

Commit Velocity (14d)

184

Velocity Change

-56%

Contributors

444

+0% growth

New Repos (30d)

2

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Projected lead-time window

no active window

Projected next milestone

Platform or stack transition

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Projections are model estimates derived from each org's public commit signal and the SSRN-published methodology, not statements of fact. Cross-reference with primary sources before acting.

Engineering Velocity Report Card

Velocity Score

62/100

Strong, Significant engineering activity detected

62

Commit Velocity Change

-56%

Contributor Growth

+0%

New Repositories

2

Signal Type

Deceleration

Signal History

PeriodVelocity (14d)ChangeContributorsGrowthNew ReposSignal
Q2 2026184-56%444+0%2Deceleration
Q1 2026414+11%444+0%2Framework migration
Q4 2025214-13%444+0%2Deceleration
Q3 2025211+21%444+0%2Framework migration

What This Signal Means for Investors

Related Startups in AI & Machine Learning (Q2 2026 cohort)

View all AI & Machine Learningstartups →

Similar Momentum in Other Sectors

Frequently Asked Questions

What is mlflow's current engineering signal?

As of Q2 2026, mlflow shows a "Deceleration" signal with -56% commit velocity change over a 14-day window, 444 active contributors, and +0% contributor growth. This indicates a technology stack transition, which often precedes a pivot or platform upgrade.

Is mlflow raising a funding round?

VC Deal Flow Signal does not predict specific funding rounds. However, mlflow's engineering acceleration pattern (-56% commit velocity change in Q2 2026) is the type of signal that has historically preceded fundraise announcements by three to six weeks. Investors should cross-reference this signal with other sources (Crunchbase, hiring activity, community mentions) before drawing conclusions.

How does mlflow compare to other ai & machine learning startups?

mlflow is tracked in our AI & Machine Learning sector rankings for Q2 2026. View the full sector ranking at signals.gitdealflow.com/startups-to-watch/ai-ml-q2-2026 to see how it compares on commit velocity, contributor count, and signal type against other ai & machine learning startups.

View Full Sector Rankings

Related Resources

mlflow engineering momentum badge: Deceleration signal, 184 commits in 14 days

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21-47 days
Signal Lead Time (median 31d)
$80M+
Rounds Tracked
90 sec
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