Raz
Raz is a next-generation form builder tool that allows users to build interactive and personalized forms. It leverages AI technology to pro...
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What is Raz?
Raz is a next-generation AI-powered forms platform that transforms static forms into dynamic, personalized conversational interactions. Founded by Rob Haber and Alex (YC S23), Raz enables businesses to collect deeper insights from users by leveraging context when asking questions. When a user provides a vague or ambiguous answer, Raz automatically rephrases the question or dives deeper into that aspect of their reply using AI-powered follow-up questions.
The platform's semantic analysis engine processes responses to provide businesses with actionable insights, packaging raw responses into digestible themes and trends for constant improvement. Raz supports multiple deployment channels including online forms, SMS, and phone calls, allowing businesses to meet users where they are. The tool is designed for use cases across customer experience, product experience, lead qualification, and hiring.
Key features include AI-powered follow-up questions, semantic analysis for insight generation, dynamic conversation flows that adapt to user responses, multi-channel deployment (web/SMS/voice), form simulation to preview conversation paths, and automated thematic analysis of collected responses. The platform integrates with business management tools and CRM systems for streamlined workflows.
Raz is ideal for businesses that rely on forms for feedback surveys, hiring applications, lead qualification, customer experience research, and product feedback. Sales teams use it for lead qualification and nurturing, HR teams for candidate engagement, and product/customer success teams for gaining deeper user insights.
Raz pricing
Pricing model: Free
Free tier available (confirmed via DoMore.ai). The platform offers a Free/Free Trial option. Specific pricing details for paid plans are not publicly disclosed on the website. Contact [email protected] to learn more about pricing and plans. Enterprise/custom pricing may be available for larger organizations.
Raz pros
- AI-powered follow-up questions dig deeper into vague responses
- Semantic analysis engine generates actionable insights automatically
- Dynamic conversations adapt to user responses in real-time
- Multi-channel deployment: web forms, SMS, and phone calls
- Native SMS experience feels like chatting with a representative
- One-click SMS form deployment without sending survey links
- Conversation simulation previews how interactions will progress
- Automated thematic analysis highlights important patterns
- Personalized interactions increase engagement and response quality
- Works extensively across feedback, hiring, and lead qualification use cases
- Direct integration with CRM and business management tools
- Keyword identification optimizes customer engagement continuously
- White-glove conversational AI experience for leads
- Higher conversion rates through automated lead qualification
- Know customers personally before they get on a call
- Incorporate knowledge base to answer lead queries automatically
- Deep understanding of customer feelings about products and services
Raz cons
- New company (founded 2023) with limited market history
- Bootstrapped with $0 outside investment may limit feature velocity
- Only approximately 2 employees—small team support
- No pricing transparency on public website
- Limited documentation compared to established form platforms
- May require AI literacy to maximize semantic analysis features
- SMS/channel deployment needs user to have compatible devices
- Semantic analysis insights may need human validation for critical decisions
Frequently asked questions about Raz
What is Raz and what does it do?
Raz is a next-generation AI-powered forms platform that transforms static forms into dynamic, personalized conversational interactions. It enables businesses to collect deeper insights from users by leveraging context when asking questions. When users provide vague answers, Raz automatically rephrases questions or dives deeper using AI-powered follow-up questions and semantic analysis.
How does Raz's AI follow-up work?
When a user provides an ambiguous or vague response to an open-ended question, Raz's AI automatically detects this and rephrases the question or delves into a specific aspect of their reply. This creates dynamic conversations that adapt to user responses, moving beyond static forms to get deeper insights.
What channels can I deploy Raz forms on?
Raz supports three deployment channels: online web forms, SMS (native text messaging), and phone calls. This multi-channel approach allows businesses to meet users where they are. SMS deployment is particularly unique—instead of sending a link to a survey, Raz offers a native SMS experience that feels like chatting with a company representative.
What business use cases does Raz support?
Raz supports multiple use cases including: Customer & Product Experience (gaining comprehensive customer understanding), Lead Qualification (streamlining prospect intake to connect with high-potential leads), and Hiring (identifying and engaging top-tier candidates personally). It's used extensively for feedback surveys, hiring applications, and lead qualification.
How does Raz's semantic analysis work?
Raz's semantic analysis engine processes all user responses and packages them into digestible insights. It provides keyword identification and thematic analysis of customer responses, highlighting important themes and relevant insights for continuous optimization of customer engagement and business improvement.
Can I see how Raz conversations will flow before deploying?
Yes, Raz includes a conversation simulation feature that allows companies to preview how conversations could progress. This helps businesses understand the AI's follow-up logic and optimize their forms before deploying them to real users.
Does Raz integrate with my existing business tools?
Yes, Raz offers direct integration with preferred business management tools and CRM systems for a streamlined workflow. This allows businesses to connect Raz to their existing infrastructure and maintain centralized data management.
What makes Raz different from traditional form builders?
Traditional forms are static and lack the ability to probe deep into user experiences, leading to shallow responses. Raz makes forms dynamic and personalized by leveraging context when asking questions. When users give vague answers, Raz rephrases or dives deeper, creating conversational interactions that yield actionable insights rather than surface-level responses.
How does Raz help with lead qualification?
Raz gets leads excited to work with you within minutes through automated lead qualification, contributing to higher conversion rates (85%). It knows customers personally before they get on a call by figuring out their needs seamlessly and providing valuable intel for sales teams (90% effectiveness). Raz also incorporates knowledge bases to answer lead queries about products and services (95% efficiency).
Who are Raz's founders and what is their background?
Raz was founded by Rob Haber and Alex, who met on their high school tennis team 10 years ago. Rob has an MS in AI from Carnegie Mellon, worked at Regeneron, Amazon, and founded a beef jerky company. His last role was Machine Learning Engineer at Scale AI training LLMs for enterprise customers. Alex was a former sumo wrestler born in Tokyo, worked as a consultant on PwC's Customer Service and Advocacy team on emerging technologies like 5G, and became PwC's youngest PM. Raz is Y Combinator S23.