002Conversational AI
AlfredAI
A platform for training AI chat and voice agents on your own data and deploying them anywhere.
The problem
Businesses increasingly rely on virtual assistants to handle tasks, customer engagement and lead capture, but they need a fast way to stand up agents trained on their own data and deploy them across their own channels.
What we built
We built AlfredAI so companies can train bots on their own custom data in minutes, then deploy integrated agents on their websites, on custom domains, or in the background. Bots handle both text and voice, for training and for conversation. Under the hood it integrates multiple LLMs (OpenAI, Gemini, DeepSeek, X.AI and Anthropic) and keeps context in Chroma vector databases, with an architecture that scales those databases horizontally. Integrations run through Zapier and Make, with custom connections to the systems each business depends on, and a lead generation flow captures leads into a database with automatic follow-up.
AI woven through
AlfredAI is built around conversational agents: it trains bots on custom data, routes across OpenAI, Gemini, DeepSeek, X.AI and Anthropic models, and manages context in Chroma vector databases.
“Train a bot on your own data in minutes, then deploy it across your channels by text or voice.”
Screens
Build with us
Want something like AlfredAI? Let's build it.
Bring us an idea, a half-built product, or a problem you can't find the right team for. We'll come back with a plan, a fixed price, and a way to start.