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Layer

layer.ai

Founded Year

2020

Stage

Seed VC - II | Alive

Total Raised

$5M

About Layer

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.

Headquarters Location

Istanbul,

Turkey

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ESPs containing Layer

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

EXECUTION STRENGTHMARKET STRENGTHLEADERHIGHFLIEROUTPERFORMERCHALLENGER
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.

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

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Research containing Layer

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Layer in 1 CB Insights research brief, most recently on Oct 17, 2022.

Expert Collections containing Layer

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

Layer is included in 2 Expert Collections, including Artificial Intelligence.

A

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.

D

Digital Health

8,838 items

Startups recreating how healthcare is delivered

Latest Layer News

Saama Collaborates With Merck To Build Machine Learning-Powered Clinical Data Layer To Strengthen Merck’s Clinical Development C...

Aug 12, 2022

Saama Collaborates With Merck To Build Machine Learning-Powered Clinical Data Layer To Strengthen Merck's Clinical Development Capabilities CAMPBELL, CALIF.--(BUSINESS WIRE)-- Saama Technologies, LLC. (“Saama”) today announced a multi-year agreement with Merck, known as MSD outside the United States and Canada, to build and operationalize a new clinical data layer leveraging Saama’s Life Science Analytics Cloud (LSAC) to strengthen Merck’s clinical development capabilities and expedite pipeline progress. “Saama and Merck share a commitment to accelerating drug development and utilizing state-of-the-art Machine Learning for clinical data management processes. We are pleased to support the clinical development efforts of one of the top biopharmaceutical companies in the world,” said Suresh Katta, Founder and Chairman Emeritus, Saama Technologies. “LSAC will enable Merck’s team to optimize and automate processes, accelerate cycle times, and reduce costs in the quest to bring new treatments to patients sooner.” Under the agreement, Merck will integrate LSAC into its clinical development systems to improve speed and efficiency related to the ingestion, curation, and transformation of data and facilitate processing from multiple internal and external data sources to multiple business platforms and analytics needs. “With the increasing demands of Merck’s growing pipeline, it is crucial that we continue to embrace the latest digital technologies to optimize and expedite our data management, clinical trial operations and biostatistics capabilities,” said Dr. Eliav Barr, Senior Vice President, Head of Global Clinical Development and Chief Medical Officer, Merck Research Laboratories. “By integrating Saama’s Machine Learning-driven platform across our clinical functions we aim to fuel significant process efficiencies and elevate the user experience for our talented clinical teams.” "We are excited to strengthen our partnership with Merck and are committed to achieving transformational outcomes that expedite delivery of drugs to patients,” said Vivek Sharma, CEO, Saama Technologies. Saama's LSAC is an end-to-end, Machine Learning (ML)-enabled, clinical data management and cognitive insight platform designed to accelerate clinical research outcomes. The company’s cloud-based, AI-powered solutions and services offer powerful data aggregation, monitoring, analytics, and collaboration capabilities, so sponsors and CROs can optimize drug development processes while ensuring the reduction of cycle times and data quality. In addition, technology-agnostic applications allow integration with existing systems. Saama’s AI models are trained using more than a hundred million clinical data points and are easily embedded into existing infrastructure and business workflows. About Saama Technologies, LLC. Saama is the life science industry leader of ClinTech, the new category of purpose-built, AI-based clinical insights and automation platforms empowering faster, safer clinical development and regulatory programs. Over 50 biotech companies–including many top 20 pharmaceutical companies–use Saama’s award-winning Life Science Analytics Cloud (LSAC) platform to accelerate over 1,500 studies, including the clinical trial for the world's first COVID-19 vaccine. LSAC’s rich applications facilitate unprecedented, authoritative oversight and automation of comprehensive clinical research data, enabling companies to file New Drug Applications (NDAs) more efficiently and bring treatments to patients sooner. Discover more: www.saama.com . Follow @SaamaTechInc on Twitter. View source version on businesswire.com: https://www.businesswire.com/news/home/20220810005061/en/ Copyright Business Wire 2022

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Layer Frequently Asked Questions (FAQ)

  • When was Layer founded?

    Layer was founded in 2020.

  • Where is Layer's headquarters?

    Layer's headquarters is located at Istanbul.

  • What is Layer's latest funding round?

    Layer's latest funding round is Seed VC - II.

  • How much did Layer raise?

    Layer raised a total of $5M.

  • Who are the investors of Layer?

    Investors of Layer include Hummingbird Ventures, FJ Labs and 500 Emerging Europe.

  • Who are Layer's competitors?

    Competitors of Layer include FeatureBase and 5 more.

Compare Layer to Competitors

dotData Logo
dotData

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.

Tecton Logo
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.

R
Rasgo Intelligence

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

FeatureBase Logo
FeatureBase

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.

Logical Clocks Logo
Logical Clocks

Logical Clocks is the developer of Hopsworks, a data-intensive AI platform with a Feature Store.

Kaskada Logo
Kaskada

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

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