Incode Tech Stack

AI-powered identity verification platform for enterprise onboarding and fraud prevention

Software Development San Francisco, California 501–1,000 employees Founded 2015 Privately Held

Incode builds an identity verification platform using Python, PyTorch, and mobile SDKs (iOS/Android) to detect fraud and authenticate users at scale. The tech stack reveals a ML-first architecture—PyTorch for model development paired with Core ML and AVFoundation for on-device inference—while active projects in deepfake detection, facial recognition, and liveness modeling show heavy investment in biometric AI. The hiring mix (13 engineers, 9 data, 9 sales) and migration from Java to Kotlin signal both platform modernization and sales-driven growth in a compliance-heavy market.

Tech Stack 34 technologies

Core StackKubernetes Terraform AWS Prometheus Loki Elasticsearch Python PyTorch Salesforce Apache Kafka Swift Tableau Postman Redshift Excel Android SDK RxJava Git Android SQL Amazon Redshift iOS Core ML AVFoundation Objective-C iOS SDK HTML5 JSON XML PowerPoint+1 more

AdoptingKotlin

ReplacingJava

What Incode Is Building

◆Challenges

Reducing fraud
Scaling global team
Scaling cloud infrastructure
Ensuring sdk speed reliability trust
Rapidly scaling engineering team
Reliability at global scale
Protecting user privacy
Ensuring pii compliance
Optimizing system performance
Large-scale data migrations

▲Active Projects

Ios sdk development
Sdk migration to kotlin
Cloud-native infrastructure
Monitoring & logging
Infrastructure as code
Document processing model development
Liveness detection model development
Facial recognition model development
Identity ecosystem expansion
Payroll reconciliation

Hiring Activity

Steady45 roles · 20 in 30d

Department

Engineering

Data

Sales

Product

Finance

Marketing

Security

Support

Seniority

Senior

Mid

Junior

Manager

Director

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About Incode

Incode is an AI-powered identity verification platform serving enterprises that need to verify users, prevent fraud, and stay compliant during digital onboarding and authentication. Founded in 2015, the company operates from San Francisco with 501–1,000 employees spread across the US, Serbia, Mexico, Colombia, and Peru. The platform combines deterministic verification, deepfake detection, and intelligent orchestration to help customers distinguish legitimate users from fraudsters across KYC, AML, and identity management workflows. Incode was named a Leader in the 2025 Gartner Magic Quadrant for Identity Verification for a second consecutive year.

HeadquartersSan Francisco, California

Company Size501–1,000 employees

Founded2015

Hiring MarketsUnited States, Serbia, Mexico, Colombia, Peru

Frequently Asked Questions

What tech stack does Incode use?

Incode runs on AWS with Kubernetes, Terraform, and Apache Kafka. Core services use Python and SQL (Redshift), while mobile SDKs span iOS (Swift, Objective-C, Core ML) and Android (Kotlin, RxJava). Monitoring uses Prometheus and Loki; ML workloads run on PyTorch.

What is Incode working on?

Active projects include iOS SDK development and Kotlin migration, cloud-native infrastructure scaling, document processing and facial recognition models, liveness detection, and identity ecosystem expansion. Pain points center on scaling global infrastructure, reducing fraud, and ensuring PII compliance.