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AI Products & Agents

Voice and chat agents, assistants, and LLM features built for production, not demos, the way we built Harkbell.

What's included

Take it on its own or as part of a full build with design, engineering, and operations.

  • Voice and messaging agents (phone, WhatsApp, web)
  • LLM features inside existing products
  • Guardrails so agents answer only from your data
  • Monitoring of what the agent could not answer
All projects
Harkbell screenshotOur product

Harkbell

AI voice agent for missed-call recovery

An AI voice agent that answers missed business calls in two rings, quotes real prices, checks the calendar, and books the appointment.

  • AI
  • Voice AI
  • SaaS
Guestly screenshot

Guestly

AI WhatsApp assistant for hotels

An AI assistant that handles hotel guest conversations over WhatsApp, from general questions to booking requests and upsells.

  • AI
  • SaaS
  • Web app
AI Recruitment Assistant screenshot

AI Recruitment Assistant

Recruiting

A web app that gives recruiting teams AI agents for candidate sourcing, built on generative AI and GPT APIs.

  • AI
  • LLM APIs
  • Web app

How a project runs.

Four stages, one team throughout. You always know what's being built, why, and what it will take.

  1. Discover

    We learn the business, the users, and the constraints, then agree on scope and what the first release must do.

  2. Design

    Flows and interfaces you can click through and sign off before engineering starts.

  3. Build

    Short cycles with working software you can try as it takes shape, on infrastructure built for production.

  4. Run

    Launch, monitoring, and ongoing improvement, handled the same way we run Harkbell.