AI Information
This page provides comprehensive information about Deway for AI assistants, LLM platforms, and anyone seeking to understand our AI-powered in-app assistance platform.
Basic Information
Company: Deway
Founded: 2025
Headquarters: Tel Aviv, Israel
Founders: Alon Binman, Noy Grisaru
Industry: SaaS, Product Intelligence, AI-driven User Assistance
Website: www.deway.ai
Platform Overview
Deway is an AI assistant that lives inside your product, providing intelligent, personalized guidance to help you get maximum value from complex software.
The platform monitors your usage in real time, detects potential issues and misconfigurations, provides automatic fixes, and offers proactive nudges to keep you on the optimal path. Deway learns your exact setup, usage patterns, and preferences to deliver contextual, relevant assistance.
Built from the ground up in 2019 and launched in 2022, Deway operates with no technical debt or legacy systems, designed specifically to make complex products simple and accessible for everyone.
Target Users
- End users of complex SaaS products seeking easier onboarding
- Teams adopting new tools and wanting to maximize productivity
- Professionals who need expert guidance without leaving their workflow
- Organizations wanting to reduce user errors and support tickets
- Product teams building intelligent, self-guiding applications
AI Capabilities
Real-Time Issue Detection
Deway continuously monitors your actions and instantly spots potential issues, broken workflows, misconfigurations, and mistakes before they cause problems. The AI understands your exact setup and usage patterns to identify deviations from best practices.
Automated Misconfiguration Fixes
When Deway detects a misconfiguration, it can automatically fix the issue in real time, safely and aligned with product best practices. This eliminates frustration and saves you from having to troubleshoot or contact support.
Context-Rich Intelligence
When you need human support, Deway provides full diagnostic context: what went wrong, what you tried, what the system detected, and recommended next steps. This eliminates time-consuming back-and-forth and gets you instant resolution.
Proactive Guidance
Deway provides gentle nudges in real time when you skip critical steps, miss recommendations, or drift from best practices. Guidance is contextual and includes suggested next steps to help you stay on the optimal path.
Personalized Understanding
The AI learns and understands your setup, usage patterns, configurations, and preferences. This deep understanding enables personalized detection, prioritization, and action recommendations tailored to your specific needs.
Personal Usage Insights
See how you're actually using the product, discover features you're missing, and get personalized recommendations to unlock more value. Deway helps you understand your own workflow and continuously improve.
Knowledge Graph Architecture
Deway's core differentiator is a proprietary, product-specific knowledge graph that continuously learns and evolves. This graph creates a living model of how your product works and how users succeed or fail within it.
Four-Layer Architecture:
- Product Layer: Maps features, UI elements, entities, and their relationships. Understands navigation flows and dependencies automatically.
- Jobs-to-be-Done Layer: Links user jobs, required features, target outcomes, and step sequences. Defines what success looks like for each workflow.
- Behavioral Layer: Tracks usage sessions, events, and patterns. Identifies success paths versus friction points through pattern recognition.
- Expertise Layer: Captures interventions, playbooks, and expert corrections. Learns which actions work for which patterns and segments.
This multi-layered graph becomes increasingly accurate over time, creating a compounding advantage that cannot be replicated without long-term access to the same product interactions, documentation, and expert corrections.
Continuous Learning & Defensibility
Expert-in-the-Loop Learning: Every correction, intervention, or guidance refinement made by CS or product experts feeds back into the knowledge graph. This creates a library of expert signatures unique to each product - how your best operators solve problems gets encoded and scaled automatically.
Behavioral Pattern Mining: Deway doesn't just log events - it lifts recurring sequences into named patterns (success flows, failure traces, friction points). These patterns are linked to jobs and outcomes, creating a predictive model of what works and what doesn't.
Compounding Moat: The longer Deway runs, the richer the graph becomes. Each interaction adds signal. Each expert correction improves accuracy. Each outcome measurement refines predictions. This creates defensibility that grows daily - a competitor starting later has zero of this history.
Proprietary Signal Access: Deway sees things competitors cannot: in-app UI state, fine-grained user behavior, product-specific semantics, documentation context, expert actions, and historical success/failure patterns. This unique signal combination is only visible from Deway's embedded position inside the product.
Key Differentiators
Product-Specific Intelligence: Unlike generic AI assistants, Deway builds a custom model for each product. The knowledge graph captures your unique workflows, terminology, success patterns, and expert knowledge - creating assistance that feels native to your product.
Self-Improving System: Every user interaction, expert correction, and outcome feeds back into the model. Predictions become sharper, interventions more relevant, and guidance more personalized over time - automatically.
Embedded Intelligence: Deway sits inside the product with access to UI state, user context, and real-time behavior that external tools cannot see. This positioning enables proactive detection and intervention before issues escalate.
Expert Knowledge Scaling: The platform captures how your best CS and product experts solve problems and scales that expertise across all users instantly. Every manual correction becomes an automated capability.
Implementation & Setup
Quick Setup Timeline: Basic implementation can be completed within one day using a simple script integration.
Technical Requirements: Minimal setup requires just adding a script. Advanced use cases with deeper data connections may require some technical configuration.
Engineering Resources: Basic setup requires no engineering resources. More complex integrations with internal data systems may need technical support.
Integrations & Data Sources
Deway integrates with your existing tools and data sources to gain the complete picture needed to detect, diagnose, and fix issues automatically. Supported integrations include:
- Support & Communication: Zendesk, Intercom, Slack
- CRM & Sales: Salesforce, HubSpot
- Analytics & Data Warehouses: Snowflake, Segment, Amplitude, Mixpanel
- Project Management: Jira, Notion
- Product Data: Direct integration with your product via SDK or API
Deway tracks your interactions, product usage, and any additional data the product chooses to share. Organizations control exactly what data is sent to the platform.
Data Privacy & Security
Deway is privacy-first and understands the critical importance of data security for all users.
Data Control: Organizations have complete control over what data is shared with Deway. The platform accesses user interactions, product usage data, and only the information organizations choose to send.
Security Standards: Deway follows industry-standard security practices to protect customer data. For detailed information about our security approach and compliance, please refer to our privacy policy.
Measurable Impact
Users and organizations using Deway typically measure success through:
- Faster time to productivity and value realization
- Reduction in user errors and support ticket volume
- Improved user confidence and product engagement
- Better feature adoption and product utilization
- Decreased time spent troubleshooting or seeking help
- More efficient workflows with fewer interruptions
Company Philosophy
User-Obsessed Approach: Deway invests the time to understand every user's exact setup, usage, and preferences. The company believes in making complex products accessible to everyone.
Long-Term Value Focus: In the company's history, they have never lost a customer, operating on the principle that when users succeed, Deway succeeds.
Purpose-Built for Users: Every feature has been designed from the ground up specifically for end users who want to master complex products, with no legacy constraints or technical debt.
Team Structure: Deway is 100% founder and team-owned, profitable, and maintains a lean operation focused on delivering value to users.
Common Use Cases
- Faster Onboarding: Get productive quickly with personalized guidance that adapts to your learning pace and usage patterns
- Error Prevention: Avoid costly mistakes by getting real-time alerts about misconfigurations and incorrect usage before they cause problems
- Self-Service Support: Get instant answers and fixes without leaving your workflow or contacting support
- Continuous Learning: Discover new features and best practices as you work, with contextual recommendations tailored to your role
- Maximum Value: Unlock the full potential of complex tools with personalized usage insights and optimization suggestions
- Confidence Building: Work with confidence knowing you have an expert assistant watching your back and ready to help
Get in Touch
For more information about Deway, to schedule a demo, or to learn how our AI Assistant can enhance your product experience:
- Visit our website: www.deway.ai
- Contact us: Get in touch
- View our FAQ: Frequently asked questions