Stratyfy | Company Profile - Revenue, Headcount, Tech Stack, Contacts
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Funding Information
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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. Stratyfyβs 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.
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Contact
Technology Stack
Analytics & Tracking
Social & Marketing
Database & Backend
Cloud & Infrastructure
Productivity
How to sell to
Buyer Teams to Target
Risk & Compliance
Chief Risk Officer, Head of Compliance, Risk Analytics Manager, Fraud Prevention Specialist, Model Risk Lead, Regulatory Reporting AnalystData Science & Analytics
Director of Data Science, Lead Data Analyst, AI/ML Engineer, Credit Scoring Analyst, Decision Science Manager, Data Platform ArchitectProduct & Technology
Chief Product Officer, VP of Product Management, Product Owner β Credit Solutions, IT Solutions Architect, Engineering Lead, QA & Deployment ManagerBusiness Development & Partnerships
Head of Partnerships, Director of Business Development, Strategic Accounts Manager, Partnerships Operations Lead, Client Success Director, Integration ManagerWhat 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
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