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Pindrop Tech Stack

Real-time deepfake detection and voice/video identity verification

Computer and Network Security Atlanta, Georgia 201–500 employees Founded 2011 Privately Held
pindrop.com LinkedIn

Pindrop detects deepfakes and verifies identity across voice, video, and digital channels in real time. The tech stack reveals a company building toward real-time ML at scale: Python + Go + Scala on AWS/GCP, with SageMaker, Kinesis, and FAISS handling inference and streaming, plus WebRTC and VoIP integrations for voice/video capture. Active adoption of LangChain signals a pivot toward LLM-powered detection. The hiring mix is engineering- and research-heavy (7 of 18 roles in last 30 days), focused on video processing, deepfake detection, and API exposure—matching their stated transition from reactive fraud prevention to continuous, AI-driven identity verification.

Tech Stack 48 technologies

Core StackZoom Python Salesforce AWS AWS Lambda SageMaker Docker RAG Go Kubernetes Prometheus Grafana Jenkins DynamoDB Java Scala ZoomInfo Webex Google Meet VoIP WebRTC Passport GCP Google Analytics 4 Google Tag Manager FAISS Cloud Trace Kinesis LeanData Outreach+15 more
AdoptingLangChain

What Pindrop Is Building

◆Challenges

  • Fraud and deepfakes erode trust
  • Fraud risk
  • High-risk customer interactions
  • Deepfake fraud
  • Manual processes
  • Reducing fraud
  • Lowering operational costs
  • Rebuilding website for ai era
  • Improving site performance and conversion
  • Complex production issues

▲Active Projects

  • Real-time video processing research
  • Pindrop pulse for meetings launch
  • Rebuilding website for ai era
  • Conversion optimization
  • Implementing llm-ready structure
  • Real-time media ingestion pipelines
  • Audio-visual deepfake detection
  • Synthetic media identification
  • Platform strategy and development
  • Pindrop intelligence api exposure

Hiring Activity

Accelerating20 roles · 15 in 30d

Department

Engineering
5
Marketing
5
Sales
3
Research
2
Ops
1
Product
1
Security
1

Seniority

Senior
14
Director
1
Intern
1
Manager
1
Mid
1

Notable leadership hires: Product Marketing Director

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About Pindrop

Pindrop is a voice and video identity verification platform protecting high-risk customer interactions at scale, particularly for financial services and insurance. The company processes billions of interactions annually using proprietary models trained on over 1.5 billion real-world samples. Core capabilities span deepfake detection, voice authentication, and synthetic media identification, with recent expansion into video processing and LLM-ready architecture. The product is deployed at major U.S. banks, insurers, and healthcare providers. The platform is built on AWS/GCP infrastructure with WebRTC and VoIP integrations, supporting both real-time streaming pipelines and batch analysis.

HeadquartersAtlanta, Georgia
Company Size201–500 employees
Founded2011
Hiring MarketsUnited States, Ukraine

Frequently Asked Questions

What tech stack does Pindrop use?

Python, Go, Scala, Java on AWS and GCP, with SageMaker for ML, Kinesis for streaming, FAISS for similarity search, Kubernetes for orchestration, and WebRTC/VoIP for voice/video capture. Recently adopting LangChain for LLM integration.

What is Pindrop working on?

Real-time video processing, audio-visual deepfake detection, synthetic media identification, LLM-ready platform architecture, Pindrop Pulse for meetings, API exposure, and website rebuilding to highlight AI capabilities.

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How this profile is built

Pindrop'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.