Scout for Startups
Build and scale your
customer experience
Discover the CX automation platform that startups love. Get access to enterprise features with the Scout Startup Program.
Trusted by teams building the future
Augment your customer service
team
and build an effective cx program
ScoutOS AI Chatbot helps you quickly setup automated Tier 1 support and free up your agents for the most important customer interactions. (Review Copy)
Boost your CX team's efficiency and productivity
Scout drafts responses for each inquiry, using conversation context and past interactions to ensure accuracy.
Learn more about Boost your CX team's efficiency and productivity
Provide multilingual support
Easily provide support in over 100 languages, with little to no set up required.
Learn more about Provide multilingual support
Automate and streamline first-line customer support
Provide real time recommendations for agent responses before they're sent, and send messages likely to return the highest NPS.
Learn more about Automate and streamline first-line customer support
Program Details
Get started with enterprise features through the Scout Startup Program
Startup Eligibility
For companies less than 5 years old, with under $50M funding, and 25K+ MAU. Ideal for fast-scaling startups.
Enterprise Features
Full access to Scout Enterprise features for 12 months. Supercharge your CX with our comprehensive toolset.
Support & Perks
Next-day Slack and email support. Plus, refer a friend to double your benefits and accelerate growth
What our users are saying
Discover how our users have transformed their operations.
“My experience with Scout has been transformative, particularly in accelerating our AI features' time to market with its seamless integration and exceptional support.”
Kyle ClementsFounder & CEO of Quipli
“Scout is an indispensable tool for our Engineering, DS and Sales teams to engage with our customers. We rely on Scout daily, making it an integral part of our operations.”
Vijaye RajiCEO of Statsig
“Scout has made it easy for us to scale out our open-source support, while still maintaining a very high level of quality in responses.”
Pedram NavidHead of Data Engineering at Dagster
