Convert Web Traffic.
Resolve Support Automatically.
Factual RAG Vector Databases
Your chatbot answers queries strictly using verified corporate document uploads. Context filters restrict LLMs from fabricating information.
Cooperative Lead Handoffs
When high-tier leads or complex technical complaints are identified, the agent triggers instant push notifications to Slack and assigns live reps.
Multichannel Synchronization
Deploy your chat agent across WhatsApp, Discord, Zendesk, or custom website widgets simultaneously with unified database context logic.
AI-powered chatbot widgets for startups seeking fast, automated FAQ answering.
Advanced RAG chatbots designed for e-commerce leads, support systems, and CRM integrations.
Fully custom AI conversational systems linking legacy databases and multiple languages.
Extra Language Support
Deploy your chatbot in a secondary language (Spanish, French, German, etc.) with custom dataset translates.
Additional 25 FAQ Nodes
Compile and index an additional 25 custom FAQ questions and contextual answer paths.
Advanced API Integration
Sync customer conversation states dynamically with third-party ERP databases.
Optimization & Retraining
Ongoing conversation analysis, context updates, and prompt recalibration monthly.
We build using a Retrieval-Augmented Generation (RAG) framework. This restricts the AI from answering using public internet training logs; it is only permitted to construct answers directly using your uploaded documents and context lists.
Yes. We configure automatic hand-off webhooks that interface with Slack, Microsoft Teams, Zendesk, or HubSpot, instantly transferring the customer context history to your live reps.
We deploy chatbots natively on websites via lightweight Javascript widgets. Additionally, we support WhatsApp Business, Facebook Messenger, Instagram DM, and Discord integrations.
Under our monthly support templates, token costs are either capped or included. If you run high-volume public portals, we can link your own API keys directly to maintain wholesale token pricing.
Starter setups are deployed within 5–7 days. For enterprise databases and multi-language structures, full training and validation runs typically take 10-14 days.