LightBot
Agentic Workflow Orchestration for High-Velocity Lead Conversion
Turn your institutional knowledge into production-ready AI agents in minutes.
Lotta AI is a sophisticated enterprise-grade Retrieval-Augmented Generation (RAG) platform designed to bridge the gap between static internal data and interactive AI agents. Built on a modular architecture that supports GPT-4o, Claude 3.5 Sonnet, and local Llama 3 deployments, Lotta provides a high-performance vector database layer for indexing proprietary documentation, PDFs, and live web content. In the 2026 market, Lotta distinguishes itself through 'Agentic Orchestration'—the ability for bots to not just answer questions, but to trigger workflows via webhooks and API calls. Its technical core features hybrid search (combining semantic and keyword matching) to ensure high-precision retrieval, minimizing hallucinations in regulated industries like FinTech and Healthcare. The platform is optimized for low-latency responses, typically clocking in under 1.8 seconds for complex data lookups. For architects, Lotta offers a 'Human-in-the-Loop' (HITL) dashboard where edge cases are flagged for manual review, allowing the model to be fine-tuned on real-world interaction failures, effectively creating a self-improving knowledge cycle.
Uses RAG with reranking algorithms to ensure the AI only answers based on provided documentation.
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.
Dynamically routes queries to GPT-4o for complex reasoning or cheaper models for simple FAQs.
Integrated Pinecone-style vector store that handles embeddings automatically upon upload.
Allows agents to execute JSON-defined functions (e.g., 'check_order_status').
Monitors connected URLs and Notion pages for changes, re-indexing automatically.
Automatically detects and masks sensitive user data (SSN, Credit Cards) before processing.
Detects frustration in user intent and triggers immediate escalation to a human.
Support teams are overwhelmed by repetitive 'How-to' questions.
Registry Updated:2/7/2026
Employees can't find specific policy details in massive handbooks.
Agents miss leads because they can't respond 24/7.