LightBot
Agentic Workflow Orchestration for High-Velocity Lead Conversion
Enterprise-grade conversational AI for automated lead engagement and high-velocity conversion.
Launch.ai represents the 2026 pinnacle of conversational intelligence, specifically engineered for high-volume lead environments where speed-to-lead is the primary success metric. The platform's architecture leverages a proprietary Natural Language Understanding (NLU) engine that transcends basic keyword matching, allowing for nuanced, context-aware dialogues across SMS and voice channels. By 2026, its market position has solidified as an essential middleware for industries like real estate, automotive, and finance, where it acts as an autonomous 'AI SDR.' Technically, the platform excels in its ability to manage multi-turn conversations while maintaining strict TCPA (Telephone Consumer Protection Act) compliance through its integrated regulatory engine. It doesn't just respond; it qualifies, schedules, and hand-offs leads to human agents only when they are 'intent-hot.' The system's bi-directional CRM synchronization ensures that every interaction is logged in real-time, providing a seamless data flow between the AI engagement layer and the system of record. Its enterprise-ready framework supports massive scaling, handling tens of thousands of simultaneous conversations without latency degradation.
A multi-layered NLP architecture that distinguishes between genuine lead inquiries and automated responses/OofO messages.
Agentic Workflow Orchestration for High-Velocity Lead Conversion
Turn anonymous traffic into qualified pipeline with autonomous conversational intelligence.
Omnichannel AI Chatbot Orchestration for Enterprise Automation
The intuitive no-code platform for building conversational apps and lead-gen workflows.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Real-time TCPA, CTIA, and GDPR monitoring that dynamically blocks messages if opt-out sentiment is detected, even without keywords.
Uses sentiment and intent triggers to transfer live conversations to human agents via SMS bridge or CRM notification.
Proprietary data connector that maps conversational variables directly into custom CRM fields.
Maintains conversation context when a lead switches from a voice call to an SMS thread.
Machine learning models that assign lead value based on linguistic patterns and engagement velocity.
Algorithmic scheduling of follow-ups based on historical 'best-time-to-contact' data.
Dealerships lose 30% of leads due to slow response times outside of business hours.
Registry Updated:2/7/2026
AI schedules test drive directly into CRM calendar
Loan officers spend 70% of their time on unqualified applicants.
Agents struggle to follow up with cold portal leads from Zillow/Realtor.com.