VIMI / b2blead.ai: Conversational lead generation
We led engineering and AI development for b2blead.ai, a SaaS platform that qualifies B2B leads through conversations with website visitors. VIMI designed the UX and UI. Our team built the architecture, AI systems, integrations and analytics, and handled deployment.
How it works
A chat widget on the client's website answers visitors' questions using the company's website content and documents. During the conversation, it checks whether the visitor meets the client's qualification criteria, collects contact details and sends the lead to the CRM with the chat history.
The aim was to answer enquiries quickly and make lead capture and follow-up easier to manage. Clients can configure their branding and language support, and receive notifications with the full conversation context.
Our engineering work
We built the AI response logic, content ingestion and knowledge retrieval. Our team also developed lead capture, qualification and routing, plus CRM and webhook integrations.
The platform uses a multi-tenant architecture that supports hundreds of active bots, each with its own configuration. It runs on secure AWS infrastructure, with low-latency responses for live conversations. Data handling was designed around GDPR requirements, including configurable retention policies.
Analytics dashboards show conversation activity, performance and customer intent. These help clients understand enquiries and decide how to follow up. The platform is designed to run continuously as usage grows, with minimal setup for each client.
