Text operates at the application layer of the AI agent stack, providing autonomous agents designed to manage end-to-end customer service and sales workflows. These agents ingest unstructured data from help documentation and websites to resolve queries across multiple channels including chat, email, and social media. The platform serves as a centralized hub where businesses deploy and monitor agents that handle high-volume interactions. By providing a system where human agents can supervise AI in real-time, the company bridges the gap between fully automated service and traditional human support.
In the broader ecosystem, Text is shifting the role of customer service agents from cost centers to revenue drivers. Their agents are capable of making product recommendations and handling lead generation, moving beyond basic troubleshooting. The company champions a resolution-based pricing model, which aligns the value of AI agents with successful business outcomes rather than seat-based licensing. This approach reflects a wider industry trend toward performance-driven automation in enterprise communication.
The Value Proposition: The platform addresses the fundamental friction of traditional customer support: its historical status as a cost center. Text’s proprietary advantage lies in its seamless integration of sales intelligence into support automation. By empowering AI agents to offer personalized product recommendations and discount codes, they transform reactive troubleshooting into proactive revenue generation, driving significant increases in average order value (AOV) for global brands like Sephora.
The Mechanism: Functioning as a centralized intelligence hub, the platform allows users to ingest knowledge from help documentation, websites, and FAQs directly into the Text AI. These agents deploy across chat, email, and social channels. Crucially, human agents maintain the ability to "supervise" the AI in real-time, intervening during complex handoffs, while the "resolution-based" pricing model ensures financial predictability and alignment with business outcomes.
Corporate Identity: Established in 2002 by Mariusz Ciepły, the company rebranded from LiveChat to Text, Inc. to better reflect its expansive communication mission. Headquartered in Poland with a robust US presence in Boston, the organization maintains a culture centered on massive scalability and enterprise-grade security standards, including SOC 2 and GDPR compliance.
Ideal Customer Profile (ICP): Their target market ranges from high-growth SMBs seeking essential automation to global enterprise organizations (e.g., Wembley Stadium, Sephora) requiring sophisticated scale and dedicated implementation. Key stakeholders include CX Directors, Sales Operations Leaders, and CTOs driving digital transformation initiatives.
Market Positioning: Text operates as a 'Bridge' disruptor. They are successfully migrating a massive legacy user base from manual chat tools toward autonomous AI ecosystems, competing with giants like Zendesk while maintaining the agility to out-maneuver newer AI startups through deep platform integrations and decades of established market trust.
Premium Features:
A fully autonomous customer service agent that handles conversations across chat, email, and social media from a single interface.
Text is hiring.