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Reality Defender Tech Stack

Real-time AI-generated media detection across audio, video, images, and text

Computer and Network Security New York 51–200 employees Founded 2021 Privately Held

Reality Defender detects deepfakes and AI-generated content using PyTorch, JAX, and scikit-learn on AWS/Azure/GCP infrastructure — a ML-heavy stack built for real-time inference at scale. The company is actively hiring ML researchers and backend engineers while scaling customer success leadership, indicating a pivot from product-market fit validation toward enterprise deployment and revenue operations.

Tech Stack 24 technologies

Core StackReact TypeScript Python Go Node.js AWS Kubernetes Terraform Pulumi GitHub Actions GitLab CI/CD Prometheus Grafana Datadog Linux PyTorch pandas scikit-learn HubSpot Salesforce Azure GCP matplotlib JAX

What Reality Defender Is Building

◆Challenges

Detecting deepfakes in real time
Deepfake impersonation risk
Identity fraud risk
Ai-enabled social engineering risk
Global demand scalability
Production reliability management
Cost and performance optimization
Detecting deepfakes and ai-generated media
Customer adoption
Large scale data generation

▲Active Projects

Deepfake image/video detection research
Audio deepfake detection model deployment
Real-time deepfake detection platform
Structured experimentation roadmap development
Ci/cd pipeline automation
Infrastructure as code automation
Backend services powering real-time inference
Low-touch tech-touch programs
Customer advocacy programs
Real-time ai inference infrastructure

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering

7

Sales

4

HR

2

Research

2

Marketing

1

Support

1

Seniority

Intern

5

Senior

4

Mid

3

Junior

2

Manager

2

Director

1

Notable leadership hires: Customer Success Director

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About Reality Defender

Reality Defender provides an enterprise-grade API and web application for detecting deepfakes, synthetic media, and AI-generated content across multiple modalities (audio, video, images, text). Founded in 2021 and based in New York, the company serves organizations facing identity fraud, voice impersonation, and synthetic media exploitation risks. The platform is built on a modern ML ops stack (PyTorch, scikit-learn, Kubernetes, Terraform) deployed across three major cloud providers, with CI/CD automation through GitHub Actions and GitLab. Current projects span deepfake detection model research, real-time inference infrastructure, and low-touch customer onboarding programs.

HeadquartersNew York

Company Size51–200 employees

Founded2021

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Reality Defender use?

Python, PyTorch, JAX, scikit-learn for ML; React and TypeScript for frontend; Go and Node.js for backend services; AWS, Azure, and GCP for cloud infrastructure; Kubernetes and Terraform for deployment automation.