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Founded Year



Series C | Alive

Total Raised


Last Raised

$100M | 5 mos ago

About Tecton

Tecton offers a fully-managed ML feature platform that orchestrates the complete lifecycle of features, from transformation to online serving, with enterprise-grade SLAs. Its platform can also monitor data pipelines, calculate the latency and processing costs, and retrieve historical features to train systems in production. The company was founded in 2019 and is based in San Francisco, California.

Headquarters Location

548 Market St

San Francisco, California, 94104,

United States

Tecton's Product Videos

ESPs containing Tecton

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Emerging Tech / Artificial Intelligence

Features are the backbone of AI development. For instance, fraud prevention algorithms use features such as number of failed transactions, fraud rates, and customer email addresses to predict the likelihood of fraud. Some features need to be calculated in real time and made available for an algorithm to access. Feature stores transform incoming raw data into such usable features.

Tecton named as Leader among 7 other companies, including dotData, Rasgo Intelligence, and Layer.

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Tecton's Products & Differentiators

    Feature Store

    Feature Stores are operational systems to build, manage and serve features to production machine learning applications.

Research containing Tecton

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CB Insights Intelligence Analysts have mentioned Tecton in 2 CB Insights research briefs, most recently on Sep 29, 2021.

Expert Collections containing Tecton

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Tecton is included in 3 Expert Collections, including Digital Health.


Digital Health

8,838 items

Startups recreating how healthcare is delivered


Artificial Intelligence

9,442 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.


AI 100

100 items

Winners of CB Insights' 5th annual AI 100, a list of the 100 most promising private AI companies in the world.

Latest Tecton News

Tecton Hosts apply(recsys), a Data Engineering Event for Machine Learning Recommender Systems, on December 6

Nov 16, 2022

San Francisco, California, UNITED STATES SAN FRANCISCO, Nov. 16, 2022 (GLOBE NEWSWIRE) -- Tecton, the leading machine learning (ML) feature platform company, today announced that it is hosting apply(recsys), the first conference in the apply() series of events on data engineering and systems architecture for ML recommender systems, on December 6: . “We launched our apply() event series last year to meet the demand for more practical knowledge from MLOps teams that are deploying ML in production,” said Mike Del Balso, co-founder and CEO of Tecton. “With tens of thousands registered attendees across our event series, we’re excited to be hosting apply(recsys) with another solid line-up of speakers.” apply(recsys) focuses on the specific challenges of building recommender systems and will cover best practice development patterns, tools of choice and emerging architectures to successfully build and manage production recommender systems applications. The event will feature speakers from ByteDance, Cookpad, Coveo, eezylife, HeyJobs, MLOps Community, Slack and Tecton. apply() is an event series for ML and data teams to discuss the practical data engineering challenges faced when building operational ML systems. The series has had more than 100 speakers from leading organizations like a16z, Adyen, Anyscale, Atlassian, CashApp, Confluent, Databricks, DBT Labs, Deloitte, DoorDash, Drizly, Etsy, Facebook, Faire, Feast, Gojek, Google, Hugging Face, Instacart, Intuit, Lemonade, LinkedIn, McKinsey, Mercado Libre, Microsoft, MLOps Community, Monte Carlo, Netflix, Pinterest, Redis Labs, Robinhood, Shopify, Snap, Snowflake, Snorkel AI, Spotify, Stanford University, StitchFix, Stripe, Tide, Twitter, Uber, UC Berkeley - RISELab, Volvo Cars, Walmart and the Wikimedia Foundation. For the full conference schedule or to register, simply visit: . About Tecton Tecton’s mission is to make world-class ML accessible to every company. Tecton’s feature platform for ML enables data scientists to turn raw data into production-ready features, the predictive signals that feed ML models. The founders created the Uber Michelangelo ML platform, and the team has extensive experience building data systems for industry leaders like Google, Facebook, Airbnb and Uber. Tecton is backed by Andreessen Horowitz, Bain Capital Ventures, Kleiner Perkins, Sequoia Capital and Tiger Global as well as by strategic investors Databricks and Snowflake Ventures. Tecton is the main contributor and committer of Feast, the leading open source feature store. For more information, visit or follow @tectonAI. Media and Analyst Contact:

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Tecton Rank

Tecton Frequently Asked Questions (FAQ)

  • When was Tecton founded?

    Tecton was founded in 2019.

  • Where is Tecton's headquarters?

    Tecton's headquarters is located at 548 Market St, San Francisco.

  • What is Tecton's latest funding round?

    Tecton's latest funding round is Series C.

  • How much did Tecton raise?

    Tecton raised a total of $160M.

  • Who are the investors of Tecton?

    Investors of Tecton include Sequoia Capital, Andreessen Horowitz, Databricks, Snowflake Computing, Kleiner Perkins Caufield & Byers and 5 more.

  • Who are Tecton's competitors?

    Competitors of Tecton include FeatureBase, Databricks, dotData, Layer, Eureka and 11 more.

  • What products does Tecton offer?

    Tecton's products include Feature Store.

  • Who are Tecton's customers?

    Customers of Tecton include Atlassian and Tide.

Compare Tecton to Competitors

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FeatureBase offers a distributed, highly-scalable, real-time database available via open source or cloud that is designed to execute analytical queries with low latency regardless of throughput or query volumes. It is designed for workloads that require real-time analytics on data that is continuously updated through inserts, updates, or deletes. FeatureBase was formerly known as Molecula. The company was founded in 2017 and is based in Austin, Texas.

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Kaskada is a machine learning studio for feature engineering using event-based data.

Rasgo Intelligence

Rasgo Intelligence develops data science tools and custom machine learning modeling solutions.


Layer helps users create production-grade ML pipelines with a seamless local to cloud transition while enabling collaboration with semantic versioning, extensive artifact logging, and dynamic reporting. The company was founded in 2020 and is based in Istanbul, Turkey.

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dotData provides an end-to-end data science automation platform that accelerates, democratizes, and operationalizes the entire data science process with artificial intelligence/machine learning. It was founded in 2018 and is based in San Mateo, California.

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