Research
Interviews with project stakeholders & customers
Competitive analysis
Identify
Opportunities for your brand in conversational technologies
Customer experience map & workshop
Design
Conversation mapping for voice & chat
Rapid prototyping
User testing problem sets
Engineer& Iterate
Development
User Testing
Deploy,Measure& Optimize
Skill Certification
Tool Onboarding
Analytics
Security
Maintenance

Technology

The Pylon Solution

We provide the expertise, guidance, and tools needed for a conversational product experience across NLU platforms

Data management
User intent classifier
NLU
Active speech recognition
Domain knowledge
API integration
Multi-modal analytics
Better understand
your users
Measure cross-platform
success
Voice-interface control
Consulting
Conversation editor tool
Multi-turn support
Cross-platform distribution
for voice & chat
Security
For your data & users
Companion
UI/UX consulting
React/React-Native framework
for web, mobile & kiosk

Case Studies

What we learned from Tasted & The Bartender

We built Bartender and Tasted in order to learn how consumers interact with conversational technology. Over the last year, we learned how to build experencies that include:

Multi-turn, deep conversations

We tackle problems beyond simple user requests like "set a timer" or "give me the weather"

Cross-platform state management

We provide support across Amazon Alexa, Google Home, Cortana, Slack & Facebook Messenger

Multi-modal interface design

We implement a visual companion experience when words are not enough to get the job done

Performance & speed optimization

We build for high-volume messaging & API calls

Intent classification

We process what users are saying without the help of a third-party NLU service for data protection

Try them for yourself

Talking to Alexa

Press

We’ve got thoughts on this space

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