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
- Phone: +1 646-791-6702
- Website: stratyfy.com
- LinkedIn: linkedin.com/company/stratyfy
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