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>Founded in France in 2013, Dataiku originally focused on bundling together data ingest, prep, automated ML, and visualization into a single graphical user interface (GUI) to help domain experts in industries outside of tech—like banking, life sciences, and manufacturing—do predictive analytics and build simple apps on top of their data.</li><li>Sacra estimates that Dataiku hit $300M in annual recurring revenue (ARR) in 2024, up 20% year-over-year from $250M in 2023, with roughly 750 customers like GE, Toyota, and LVMH for about $400K average revenue per customer (ARPC), valued at $3.7B as of their 2022 Series F for a 18.5x multiple on their then-$200M ARR.</li><li>With the launch of its new AI-powered products like Dataiku Answers (build-your-own AI chatbot a la Glean) and Dataiku Stories (AI-generated presentations a la Canva and Gamma), Dataiku is ensuring it has a product in play for the major generative AI use cases, enabling companies from traditional industries to adopt AI and drive organizational change by signing on to a single vendor.</li></ul>

Founded in France in 2013, Dataiku originally focused on bundling together data ingest, prep, automated ML, and visualization into a single graphical user interface (GUI) to help domain experts in industries outside of tech—like banking, life sciences, and manufacturing—do predictive analytics and build simple apps on top of their data.Sacra estimates that Dataiku hit $300M in annual recurring revenue (ARR) in 2024, up 20% year-over-year from $250M in 2023, with roughly 750 customers like GE, Toyota, and LVMH for about $400K average revenue per customer (ARPC), valued at $3.7B as of their 2022 Series F for a 18.5x multiple on their then-$200M ARR.With the launch of its new AI-powered products like Dataiku Answers (build-your-own AI chatbot a la Glean) and Dataiku Stories (AI-generated presentations a la Canva and Gamma), Dataiku is ensuring it has a product in play for the major generative AI use cases, enabling companies from traditional industries to adopt AI and drive organizational change by signing on to a single vendor.

<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>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.

United States

GUI-based tool for non-technical teams to build ML and generative AI apps

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Dataiku (DATAIKU US)

Dataiku At $300M/yr

TL;DR: With the launch of Dataiku Answers and Dataiku Stories, Dataiku is transitioning from a simple GUI for creating and deploying ML models to a...

Sacra

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

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

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