Companies

stratify

trystratify.com

Stratify uses AI agents to automate user research, interviews, participant recruitment, and actionable insight generation.

HQSan Francisco, California, United States
Employees1-50
Jobs checked 5d ago
Specialization
Not classified
Business
Software Applications
Market
Cross Industry
Ecosystem
Agents
Customers
Enterprisesand 1 more customers values
  • Small Businesses
More details
Organization type
Commercial Company
Ecosystem
Agents
Business
Software Applications
Specialization
Not classified
Market
Cross Industry
Customers
Enterprises, Small Businesses
Delivery models
Hosted Software
Revenue models
Subscription
Listing status
Not classified
Latest equity round
Pre Seed
Reported funding amount
Not classified

About

Stratify builds an AI-powered user-research platform for product, UX, and marketing teams. Its agentic workflows automate participant recruitment, adaptive interviews, analysis, and reporting, delivering actionable customer insights in hours rather than weeks.

Market

Stratify competes in B2B user-research, UX-testing, and customer-insights software. It positions itself as an AI-agentic, end-to-end alternative to manual research by automating participant recruitment, conducting dynamic interviews at scale, and turning responses into actionable insights within hours rather than weeks; compared with broader platforms such as UserTesting, Maze, Dovetail, Great Question, and Sprig, its clearest differentiation is the combination of autonomous interviewing and adaptive follow-ups with integrated analysis.

Target Customers

Stratify targets B2B product organizations and teams—especially product managers, product designers, UX researchers, and marketing teams—that need faster customer and user insight. Its stated reach spans companies building products from startups through Fortune 500 enterprises, with particular appeal to teams validating features, user flows, prototypes, and campaigns.

At a Glance

Problem

Stratify addresses the cost and delay of conventional user research, where teams may ship features based on assumptions rather than reliable insight. The consequences can be severe: failed features, user churn, and millions of dollars wasted. Its central use case is rapid product validation—answering questions such as whether users understand a new checkout flow, prefer one prototype over another, or will respond to a proposed pricing model before a team commits engineering and marketing resources.

Product / Service

Stratify is an AI-powered user-research platform that automates the process from study design and participant recruitment through interviews, analysis, and reporting. A team describes its research question or uploads product materials; Stratify generates an interview framework, matches participants by demographic or behavioral criteria, and has AI agents conduct dynamic interviews at scale, including follow-up questions based on each participant’s responses.

The platform then analyzes the interview data in real time, allowing users to search conversations semantically, chat with the research corpus, and generate reports or presentations. Stratify positions this as a way to obtain authentic, actionable feedback in hours rather than weeks and to let product, UX, and marketing teams run more research without the manual coordination and analysis burden of traditional methods.

Market

Stratify competes in AI-powered user research and UX-research software, with an adjacent position in conversational intelligence. Its named competitors include UserTesting, Lookback, and Maze: UserTesting offers a broad human-insights platform and participant panel, Lookback emphasizes live and recorded interviews and usability testing, and Maze focuses on rapid design testing. Stratify’s differentiation is the attempt to automate the full research workflow with agentic AI rather than simply provide testing or interview-recording tools.

The company was founded in 2025, is listed by Y Combinator as an active Spring 2025 company, and has public customer-testimonial evidence but no disclosed customer count in the sources reviewed. PitchBook lists a completed $500,000 accelerator/incubator deal with Y Combinator, while GetLatka estimated 2025 revenue at $330,000 ARR; because the revenue figure is an external estimate rather than a company-reported metric, Stratify should be viewed as an early commercial startup with some reported traction, not conclusively as either pre-revenue or a scaled business.

Founders & Leadership

Siddhartha JavvajiFounder
Co-Founder and CEO
Pratham HombalFounder
Co-Founder and CTO

Funding History

2025-03
Pre-Seed$500K

Y Combinator

Recent News

2026-08-13funding
Stratify becomes Y Combinator-backed

Stratify appeared in Y Combinator’s consumer-products startup directory dated August 13, 2026. The company’s resources page describes Stratify as now backed by Y Combinator, indicating YC funding or participation.

2026-04-15other
Best AI Interviewing Platforms Compared (2026)

Deutero lists Stratify among AI interviewing platforms and describes it as AI-powered user research on autopilot, covering design, targeting, interviewing, analysis, and reporting.

2025-08-28product_launch
Built for UX Teams

Stratify positions its platform for UX teams as a way to automate user research with AI-powered insights, scalable interviews, and feedback for experience-design decisions.

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Business Model

Stratify monetizes through paid subscription plans, with fees billed in advance on a recurring basis. The company does not publicly disclose specific plan prices in the available materials.

Products

AI-powered user interviews and surveys with adaptive follow-up questioningInterview design and research-study generationParticipant recruitment, targeting, and matchingReal-time transcription, feedback analysis, semantic search, and insight generationScreen and video-based testing of websites, prototypes, images, videos, and ad copyAutomated reports and presentation generationThird-party integrations for research workflows

Customers

Human Behavior Co.

Tech Stack

LLM-based agentic AI workflows using OpenAI and Anthropic modelsVercel frontend hostingRender backend APIs and workersSupabase with PostgreSQL for database and file storageRedis for ephemeral caching and queuingCloudflare CDN, WAF, and DDoS protectionWorkOS for enterprise SSOSentry and PostHog for monitoring and analytics

Competitors

UserTesting
Maze
Great Question
User Interviews
Dovetail
Sprig