Private Markets, Angel and Secondary Investing, Sacra

Sacra

Private Markets, Angel and Secondary Investing

Bringing transparency to private markets so investors, founders, and employees can build on conviction. Sacra delivers deeply researched insights on the private companies shaping tomorrow's markets. By surfacing the data, context, and operator perspective that are missing from private markets today, we help secondary buyers and sellers price equity accurately and unlock liquidity for the people building these businesses.

Private Capital Markets

<ul><li>H2O.ai found product-market fit as an open-source machine learning platform for data scientists and developers who needed industrial-strength ML capabilities without building everything from scratch.</li><li>H2O.ai operates a hybrid open-source/enterprise SaaS model focused on making artificial intelligence and machine learning accessible to businesses of all sizes.</li><li>The company&#39;s $1.7B valuation suggests investors see potential for H2O.ai to become a major enterprise AI platform, similar to how Snowflake emerged as the leader in cloud data warehousing.</li></ul>

H2O.ai found product-market fit as an open-source machine learning platform for data scientists and developers who needed industrial-strength ML capabilities without building everything from scratch.H2O.ai operates a hybrid open-source/enterprise SaaS model focused on making artificial intelligence and machine learning accessible to businesses of all sizes.The company&#39;s $1.7B valuation suggests investors see potential for H2O.ai to become a major enterprise AI platform, similar to how Snowflake emerged as the leader in cloud data warehousing.

<ul><li>The MLOps landscape has evolved from targeting researchers who preferred simple Python APIs and quick setup to serving DevOps professionals who need enterprise-grade telemetry, monitoring and deployment tools that can handle high-volume production workloads.</li><li>LLM deployment differs fundamentally from traditional software deployment because models are massive files (often 10-20GB) that must be loaded across CPU and GPU memory, creating new technical challenges around memory management, version control, and continuous deployment that existing DevOps tools weren't built to handle.</li><li>Building on microservices and serverless, compound AI systems merge together multiple custom AI models, LLMs and diffusion models with databases and external APIs—spawning a new generation of tools like Outerport and Modal ($32M raised) that let developers automatically deploy and run multi-LLM systems across CPU/GPU architectures without worrying about infrastructure.</li></ul>

The MLOps landscape has evolved from targeting researchers who preferred simple Python APIs and quick setup to serving DevOps professionals who need enterprise-grade telemetry, monitoring and deployment tools that can handle high-volume production workloads.LLM deployment differs fundamentally from traditional software deployment because models are massive files (often 10-20GB) that must be loaded across CPU and GPU memory, creating new technical challenges around memory management, version control, and continuous deployment that existing DevOps tools weren't built to handle.Building on microservices and serverless, compound AI systems merge together multiple custom AI models, LLMs and diffusion models with databases and external APIs—spawning a new generation of tools like Outerport and Modal ($32M raised) that let developers automatically deploy and run multi-LLM systems across CPU/GPU architectures without worrying about infrastructure.

Towaki Takikawa, CEO And co-founder Of Outerport, On The Rise Of DevOps For LLMs

<ul><li>Brex is directly integrated with Mastercard.</li><li>Going global shifts Brex’s competitive set to multinational banks like Citi and HSBC.</li><li>Our goal with having a global focus is to satisfy customer needs for one global limit for all of their employees around the world.</li></ul>

Brex is directly integrated with Mastercard.Going global shifts Brex’s competitive set to multinational banks like Citi and HSBC.Our goal with having a global focus is to satisfy customer needs for one global limit for all of their employees around the world.

Art Levy, Chief Business Officer At Brex, On The Strategy Of Brex Embedded

<ul><li>Sacra estimates that Dataiku hit $250M in annual recurring revenue (ARR) in 2023, up 25% year-over-year.</li><li>Founded in France in 2013, Dataiku bundled together Fivetran (data ingest), Alteryx (data prep), DataRobot (automated ML), and Tableau (data visualization) into a simple GUI for data science.</li><li>Dataiku is building a high-margin, collaborative user interface layer for AI/ML ala Amplitude (74% gross margins, $281M ARR) in product analytics or Tableau (90% gross margins) in BI.</li></ul>

Sacra estimates that Dataiku hit $250M in annual recurring revenue (ARR) in 2023, up 25% year-over-year.Founded in France in 2013, Dataiku bundled together Fivetran (data ingest), Alteryx (data prep), DataRobot (automated ML), and Tableau (data visualization) into a simple GUI for data science.Dataiku is building a high-margin, collaborative user interface layer for AI/ML ala Amplitude (74% gross margins, $281M ARR) in product analytics or Tableau (90% gross margins) in BI.

<ul><li>Mid 2022, Scale’s bread-and-butter of autonomous vehicle (AV) data labeling workloads went into a decline alongside falling R&amp;D investment and VC funding, with GM’s Cruise (2021 valuation: $30B) suspending operations and Argo AI (2021 valuation: $7.B), Lyft (NASDAQ: LYFT), and Uber (NYSE: UBER) shutting down their AV programs.</li><li>In 2023, Scale’s revenue exploded to $760M ARR, up 162% YoY, with $18B in capital inflows to foundational model companies like OpenAI ($1.3B ARR in 2023), Anthropic ($200M ARR in 2023) and Cohere and generative AI apps like Runway ($237M raised) and Harvey ($106M raised) alongside the integration of gen AI-features into every app.</li><li>The very source of Scale’s near-term revenue re-acceleration poses the gravest long-term existential threat to its business, with LLMs getting closer to parity with humans on data-labeling tasks while being cheap and 20x as fast.</li></ul>

Mid 2022, Scale’s bread-and-butter of autonomous vehicle (AV) data labeling workloads went into a decline alongside falling R&amp;D investment and VC funding, with GM’s Cruise (2021 valuation: $30B) suspending operations and Argo AI (2021 valuation: $7.B), Lyft (NASDAQ: LYFT), and Uber (NYSE: UBER) shutting down their AV programs.In 2023, Scale’s revenue exploded to $760M ARR, up 162% YoY, with $18B in capital inflows to foundational model companies like OpenAI ($1.3B ARR in 2023), Anthropic ($200M ARR in 2023) and Cohere and generative AI apps like Runway ($237M raised) and Harvey ($106M raised) alongside the integration of gen AI-features into every app.The very source of Scale’s near-term revenue re-acceleration poses the gravest long-term existential threat to its business, with LLMs getting closer to parity with humans on data-labeling tasks while being cheap and 20x as fast.

United States

Tooling suite for data labeling, model training, and deployment for enterprise ML teams

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Scale AI (AI US)

Primer: H2O.ai - 18 Nov 2024

Suite of no-code and AutoML tools for building and deploying enterprise AI models

Sacra

Towaki Takikawa, CEO And co-founder Of Outerport, On The Rise Of DevOps For LLMs

What does Outerport do...

Sacra

Art Levy, Chief Business Officer At Brex, On The Strategy Of Brex Embedded

What is Brex Embedded, who are its customers, how do they (and their end customers use it), and why did you build it...

Sacra

Dataiku At $250M ARR

TL;DR: Sacra estimates Dataiku hit $250M in annual recurring revenue (ARR) in 2023, up 25% YoY, with growing demand from enterprises for tools that...

Sacra

Scale At $760M ARR

TL;DR: Sacra estimates that Scale grew annual recurring revenue (ARR) 158% to $760M in 2023 riding the LLM wave just as their previous bread-and...

Sacra

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