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

Updated April 7, 2026

Industry & Market

No industry information available

Funding Information

No funding information available

Headcount Distribution

No headcount data available

Department Breakdown

No department data available

Keywords & Focus Areas

No keywords available

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.

Key Metrics

Total Employees
XXXX
Total number of employees
Engineering
XX
Number of employees in the engineering department
Sales Team
$XX
Number of employees in the sales department
Marketing
XX
Number of employees in the marketing department
Founded
XXXX
Year the company was founded
Revenue
$XXX,XXX,XXX
Total revenue of the company
Total Funding
$XXX M
Total funding of the company
Market Cap
$XXX,XXX
Market cap of the company

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Contact

Founded
2016
Industry
Financial services

Technology Stack

Analytics & Tracking

Not found

Social & Marketing

Not found

Database & Backend

Not found

Cloud & Infrastructure

Google Cloud Hosting

Productivity

Not found

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 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

πŸ“† New job postings for data science, risk, or compliance rolesπŸš€ Launch of new AI-powered financial products or solutionsπŸ—ΊοΈ Expansion into new markets or regionsπŸ’° Major funding rounds or venture investmentsπŸ§‘β€πŸ’» Partnership announcements with banks or fintechsπŸ“Š Changes to regulatory standards impacting lending or analytics

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