Stratyfy | Company Profile - Revenue, Headcount, Tech Stack, Contacts

Company Directory for Stratyfy

Stratyfy

Overview

Stratyfy is a New York-based fintech company specializing in interpretable AI and machine learning solutions for financial institutions. The company focuses on credit risk assessment, fraud detection, bias mitigation, and decision optimization, promoting transparency and financial inclusion. Founded by Laura Kornhauser and Dmitry, Stratyfy combines AI insights with human expertise to address the balance between accuracy and transparency in financial decisions.

With no-code tools and proprietary technology like the Probabilistic Rules Engine (PRE), its regulator-ready AI solutions automate credit assessment and underwriting, support bias mitigation, and ensure equitable access to capital. Stratyfy’s predictive analytics and decision optimization software enable credit and risk teams to improve model visibility and profitability. The company partners with leading financial institutions and is a member of the American Fintech Council, committed to advancing fair lending practices.

Basic Information

Industry Financial services
Founded 2016
Revenue $1.9M
Headquarters 175 Varick Street, New York, NY 10014, United States

Contact Details

Key Focus Areas & Initiatives

  • Interpretable AI & explainable machine learning
  • Credit risk assessment and automated credit decisions
  • Fraud detection & bias mitigation in lending
  • Decision optimization for financial institutions
  • No-code AI solutions for compliance & transparency
  • Financial inclusion & fair lending practices
  • Regulator-ready, transparent model deployment

Technologies Used

  • AI
  • Amazon SES
  • Android
  • Gmail
  • Google Apps
  • Google Cloud Hosting
  • Hubspot
  • Mobile Friendly
  • Nginx
  • Remote
  • Route 53
  • Sendgrid
  • Slack
  • WordPress.org

Buyer Teams to Target

Risk & Compliance

  • Chief Risk Officer
  • Head of Compliance
  • Risk Analytics Manager
  • Fraud Prevention Specialist
  • Model Risk Lead
  • Regulatory Reporting Analyst

Data Science & Analytics

  • Director of Data Science
  • Lead Data Analyst
  • AI/ML Engineer
  • Credit Scoring Analyst
  • Decision Science Manager
  • Data Platform Architect

Product & Technology

  • Chief Product Officer
  • VP of Product Management
  • Product Owner – Credit Solutions
  • IT Solutions Architect
  • Engineering Lead
  • QA & Deployment Manager

Business Development & Partnerships

  • Head of Partnerships
  • Director of Business Development
  • Strategic Accounts Manager
  • Partnerships Operations Lead
  • Client Success Director
  • Integration Manager

What They Buy

  • Cloud infrastructure & secure hosting platforms
  • Compliance monitoring & regulatory technology
  • AI and machine learning model platforms
  • Fraud detection & identity verification solutions
  • No-code/low-code automation tools
  • Data integration & management services
  • Credit risk analytics software

Signals to Watch

  • 📆 New job postings for data science, risk, or compliance roles
  • 🚀 Launch of new AI-powered financial products or solutions
  • 🗺️ Expansion into new markets or regions
  • 💰 Major funding rounds or venture investments
  • 🧑‍💻 Partnership announcements with banks or fintechs
  • 📊 Changes to regulatory standards impacting lending or analytics

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