SentiLink Tech Stack

Identity verification and synthetic fraud detection for financial institutions

Software Development San Francisco, California 51–200 employees Founded 2017 Privately Held

SentiLink operates a fraud and identity risk platform serving banks, credit unions, and fintech companies at account opening and beyond. The stack is data-heavy—Python, Go, PostgreSQL, Redshift, Airflow, Dagster, and MLflow—reflecting an ML-first approach to fraud detection. Hiring velocity is accelerating with sales (69 roles) nearly matching engineering and data combined (86 roles), signaling a shift from product-led to sales-driven growth as the company scales its institution customer base.

Tech Stack 35 technologies

Core StackGo Python PostgreSQL Docker AWS AWS RDS Redshift Terraform Hadoop MLflow Datadog Grafana Prometheus Apache Airflow Dagster Prefect Kubernetes React AWS Lambda OpenSearch Jamf macOS SAML OIDC SCIM Amazon Redshift Aurora CI/CD Sumo Logic Amazon Cognito+4 more

What SentiLink Is Building

◆Challenges

Clunky identity verification
Identity fraud
Clunky ineffective expensive status quo
Replacing clunky fraud detection system
Improving reliability and efficiency of systems
Resolving identities across massive data sources
Reducing cycle time
Operationalizing data across company
Data acquisition and structuring
Removing bottlenecks

▲Active Projects

Identity resolution across massive data sources
Building playbook and sales process for investigate
Vertical playbooks
Detecting fraud in consumer financial applications
Financial risk product suite
Selling sentilink solutions to financial institutions
Ai deployment governance framework
Selling investigate to financial institutions
Internal data acquisition and structuring platform
Digital commerce ecosystem opportunities

Hiring Activity

Accelerating200 roles · 100 in 30d

Department

Sales

Data

Engineering

Product

Finance

Marketing

Security

Seniority

Senior

107

Lead

Manager

Mid

Staff

Junior

Notable leadership hires: Product GTM Lead, AI Process Lead, Chief of Staff, Head of Growth

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About SentiLink

SentiLink prevents synthetic fraud, identity theft, and first-party fraud for financial institutions and fintech platforms. Founded in 2017 and based in San Francisco, the company has raised $85M and serves a customer base spanning the largest U.S. banks, credit unions, and fintech companies. The platform combines identity resolution across distributed data sources with machine learning models trained by risk analysts. Core workflow areas include account-opening fraud detection, an investigation product sold separately to institutions, and emerging vertical playbooks tailored to specific financial segments. The company operates across the United States and India.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2017

Hiring MarketsUnited States, India

Frequently Asked Questions

What is SentiLink's tech stack?

Core languages are Go and Python. Data infrastructure includes PostgreSQL, Redshift, and Hadoop; orchestration via Airflow, Dagster, and Prefect; ML via MLflow. Deployment on AWS with Kubernetes, monitoring via Datadog, Grafana, and Prometheus.

What is SentiLink working on?

Active projects include identity resolution at scale, vertical playbooks for specific financial use cases, fraud detection in consumer applications, an investigation product, AI governance frameworks, and an internal data acquisition and structuring platform.

How this profile is built

SentiLink'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.