Your Support Queue is Drowning Your Team. We Build the AI That Takes Over.
If you're a VP of Ops watching ticket volume spike faster than hiring approvals, you need conversational AI that closes tickets and converts leads without a single new FTE.
We build conversational AI systems that handle customer service at scale and turn visitors into qualified leads -- 24/7, no extra headcount required.
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Frequently Asked Questions
AI chatbot projects start at $8,000 for a single-channel deployment with RAG-powered knowledge retrieval and CRM integration. Multi-channel builds with advanced qualification flows and analytics dashboards typically run $14K-$25K. Final pricing depends on the number of integrations, conversation complexity, and how large your knowledge base is.
Most projects are live in 5-6 weeks. Week one is discovery and conversation design, weeks two through four cover development and integration, and week five is testing and prompt tuning. Complex multi-channel deployments with a lot of integrations can stretch to 8 weeks.
We use retrieval-augmented generation to ground every response in your actual documentation. Combine that with prompt guardrails, output validation, and confidence scoring and hallucination rates drop below 5%. When the bot isn't confident, it escalates to a human rather than guessing.
Yes. We build native integrations with HubSpot, Salesforce, Pipedrive, and most CRMs that expose a REST API. Lead data, conversation transcripts, and qualification scores sync automatically. For helpdesks, Zendesk, Intercom, and Freshdesk are all supported out of the box.
Absolutely. Unlike SaaS chatbot platforms, you own the entire codebase, the trained knowledge base, and all your conversation data. We deploy to your own infrastructure or Vercel account. No vendor lock-in, no fees that balloon as conversation volume grows.
We track ticket deflection rate, lead qualification conversion, average resolution time, conversation drop-off points, and user satisfaction scores -- all surfaced in a custom analytics dashboard. That data drives the prompt and flow tuning we do throughout the 30-day post-launch period.
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