ActiveFence

ActiveFence is the leading provider of UGC and AI Safety solutions, delivering the industry’s most robust safeguards, to protect the world’s leading foundation models and AI-powered applications. Trusted by safety teams of all sizes, we help protect over three billion users from threats such as child abuse, exploitation, hate speech, and more. Our comprehensive solutions integrate deep intelligence research, AI-driven harmful content detection, and a robust moderation platform, enabling global platforms to operate safely and responsibly in over 100 languages.

activefence.com

ActiveFence

activefence.com

HQUS

Team Size366

Open Jobs20

Total Funding$100M

Latest FundraiseUnknown

TL;DR

Core offering: AI-driven trust & safety platform for detecting and preventing online harm (child abuse, hate speech, disinformation, fraud, terror, etc.).

Scale: Claims to protect over 3 billion users and supports 100+ languages.

Funding (disclosed): $100M disclosed in July 2021 (covers a Series B and a previously unannounced Series A).

Founding & HQ: Founded in 2018; co-headquartered in New York and Tel Aviv.

M&A signal: Acquired Rewire (announced March 8, 2023) to expand text-based harmful-content models.

Team size (directory): Reported ~366 employees.

Company Overview

Problem Domain

Trust & Safety / online harm detection and prevention for platforms (content and behavior abuse).

Founded

2018

Industry

Software Development

Funding Track Record

Series B- 2021-07-26

Part of the $100M disclosed on July 26, 2021; the $100M covered this Series B and a previously unannounced Series A.

Series A

Previously unannounced Series A included in the $100M disclosed July 26, 2021.

Undisclosed round- Q1 2023

Reported undisclosed funding round in Q1 2023; amount and investors not publicly disclosed.

Investor Signal

“Investors reported include CRV, Highland Europe, Norwest Venture Partners, Grove Ventures, Vintage Investment Partners, Resolute Ventures and Phoenix Financial; Telefonica has also been reported as an investor.”

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

ActiveFence

activefence.com

ActiveFence

activefence.com

HQUS

Team Size366

Open Jobs20

Total Funding$100M

Latest FundraiseUnknown

TL;DR

Core offering: AI-driven trust & safety platform for detecting and preventing online harm (child abuse, hate speech, disinformation, fraud, terror, etc.).

Scale: Claims to protect over 3 billion users and supports 100+ languages.

Funding (disclosed): $100M disclosed in July 2021 (covers a Series B and a previously unannounced Series A).

Founding & HQ: Founded in 2018; co-headquartered in New York and Tel Aviv.

M&A signal: Acquired Rewire (announced March 8, 2023) to expand text-based harmful-content models.

Team size (directory): Reported ~366 employees.

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Company Overview

Problem Domain

Trust & Safety / online harm detection and prevention for platforms (content and behavior abuse).

Founded

2018

Industry

Software Development

Funding Track Record

Series B- 2021-07-26

Part of the $100M disclosed on July 26, 2021; the $100M covered this Series B and a previously unannounced Series A.

Series A

Previously unannounced Series A included in the $100M disclosed July 26, 2021.

Undisclosed round- Q1 2023

Reported undisclosed funding round in Q1 2023; amount and investors not publicly disclosed.

Investor Signal

Founders

What we do

Related Companies

Company	HQ	Industry	Total Funding
Distro	🇺🇸US	HR and Recruiting	-
Lakera	🇺🇸US	Data and AnalyticsDeepTechInformation TechnologySecuritySoftware	$30M
Faculty	🇬🇧GB	Software	$53M
Writer	🇺🇸US	Data and AnalyticsDeepTechInformation TechnologyMediaSoftware	$326M
Dynamo AI	🇺🇸US	Data and AnalyticsDeepTechInformation TechnologySoftware	-

Join the Team

Big Data Engineer

On-SiteWarsaw, PL

On-Site • Warsaw, PL

We are seeking a Senior Big Data Engineer with a strong background in managing structured and unstructured data pipelines, who thrives in a fast-paced AI-focused environment. You will be instrumental in building and scaling our data lake architecture, supporting a system designed to fuel intelligent AI agents for data collection, labeling, and analytical reasoning. This includes integrating vector databases and optimizing for retrieval-augmented generation (RAG) workflows deployed on AWS Bedrock and other AI stacks.

Responsibilities

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Mobile Developer

InternshipNiš, RS

Internship • Niš, RS

Product Designer

Full-timeSan Francisco, US

Full-time • San Francisco, US

Frontend Developer

ContractBerlin, DE

Contract • Berlin, DE

Data Scientist

ContractAmsterdam, NL

Contract • Amsterdam, NL

Mobile Developer

ContractCambridge, GB

Contract • Cambridge, GB

Mobile Developer

Part-timeUtrecht, NL

Part-time • Utrecht, NL

Design and implement scalable ingestion pipelines for structured/unstructured data using AWS and Databricks Unity Catalog.

Build and maintain high-throughput ETL/ELT pipelines with Apache Airflow and Databricks.

Architect and manage data modeling, storage, and indexing strategies in PostgreSQL and RDS, ensuring compatibility with AI retrieval systems.

Integrate and manage vector databases to support fast semantic and embedding-based search in RAG pipelines.

Collaborate with AI engineers to ensure seamless compatibility with LangGraph and LangSmith agent systems.

Implement robust data validation, lineage, and governance systems using Unity Catalog.

Optimize performance across distributed compute environments (Databricks, EC2).

Deploy and maintain Lambda-based microservices for scalable, real-time data ingestion and enrichment.

5+ years working with big data systems in production environments.
Proven expertise with Databricks, Unity Catalog, and Apache Spark.
Proficiency in Airflow, AWS stack (Lambda, EC2, RDS), and cloud-based data lake architectures.
Strong SQL and database design skills (PostgreSQL preferred).

Preferred Qualifications

Experience with AI agent pipelines or large-scale ML model support.
Working knowledge of vector databases (Chroma, Pinecone, FAISS).
Solid understanding of data lifecycle management in ML/AI contexts.
Bonus: Familiarity with LangGraph, LangSmith, LangChain, or similar agent orchestration tools.
Emphasis on data observability, security, and lineage tracking.
Hands-on with RAG architecture, including vector storage and semantic retrieval.
Exposure to AWS Bedrock and model deployment orchestration.

ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day.

As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.