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 and blocks deepfakes and synthetic media using PyTorch and JAX-based ML models deployed on AWS/Azure/GCP. The tech stack reflects a research-heavy operation: the company is actively building multi-modal detection capabilities while maintaining real-time inference performance. Current hiring spans both ML research and go-to-market roles, with active projects focused on audio deepfake models, inference dashboards, and low-touch customer onboarding—suggesting a pivot toward scalable deployment and adoption velocity.

Tech Stack 22 technologies

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

What Reality Defender Is Building

◆Challenges

Detecting deepfakes in real time
Customer adoption
Protecting against ai-generated media misuse
Model robustness under adversarial conditions
Performance under diverse real-world environments
Deepfake impersonation
Identity fraud
Ai-enabled social engineering
Detecting ai-generated media
Scaling people function

▲Active Projects

Audio deepfake detection model deployment
Real-time deepfake detection platform
Detection result dashboards
Backend services powering real-time inference
Low-touch tech-touch programs
Customer advocacy programs
Executive business reviews
Multi-modal deepfake detection research
Demo and poc/trial program
Technical sales motion and pre-sales methodology

Hiring Activity

Steady10 roles · 4 in 30d

Department

Engineering

Research

Sales

Marketing

Support

Seniority

Director

Intern

Manager

Mid

Senior

Notable leadership hires: Customer Success Director, People Operations Director

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About Reality Defender

Reality Defender operates an enterprise API and web application for detecting AI-generated and manipulated content across audio, video, images, and text. Founded in 2021 and based in New York, the company serves security and fraud-prevention teams at mid-market and enterprise organizations. The platform addresses deepfake impersonation, voice fraud, KYC/IDV fraud, and AI-enabled social engineering. Technical architecture runs on cloud infrastructure (AWS, Azure, GCP) with orchestration via Kubernetes, monitoring via Prometheus/Grafana/Datadog, and Go/Python microservices. Sales motion combines direct enterprise engagement with pre-sales and proof-of-concept workflows.

HeadquartersNew York

Company Size51–200 employees

Founded2021

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Reality Defender use?

React and TypeScript for frontend, Python and Go for backend services, PyTorch and JAX for ML models, AWS/Azure/GCP for infrastructure, Kubernetes for orchestration, and Datadog/Prometheus/Grafana for observability.

What is Reality Defender working on?

Real-time detection platform for audio deepfakes, multi-modal synthetic media detection research, inference dashboards, customer onboarding programs, and technical sales methodology to scale adoption.

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How this profile is built

Reality Defender's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.