AI agent and chatbot development

AI agent and chatbot development

Put AI where it can do useful work.

We design and develop AI features around a specific user need: answering questions, helping customers choose, understanding voice, or connecting an existing workflow. We define the scope, data boundaries, and evaluation criteria before choosing the implementation.

What we can deliver

Relevant projects

Explore our voice AI, customer assistant, and smart-home projects.

How is the right AI approach chosen?

We start with the task, available data, integration requirements, and acceptable failure modes. A focused prototype helps test the approach before a broader implementation.

What can a custom AI agent do for a business?

It can answer customer questions, help people choose a product, understand voice, or connect to an existing workflow. Our own projects show each of these: EMA is a customer assistant that recommends the right product, Solace is multilingual voice AI infrastructure, BotFront runs bots on WhatsApp and Telegram, and Ensi Home is a smart-home hub driven by voice.

How do you evaluate an AI agent before launch?

We agree the task list, the data boundaries and the failure cases first, then test the prototype against them. Evaluation means checking the agent on the agreed tasks and on the cases where it is allowed to fail, not quoting a single accuracy figure.

Do you build chatbots for existing systems?

Yes. Model and system integrations are part of what we deliver, so a chatbot or agent can be connected to the workflow and tools a team already uses. We define which systems it may read from and act on during discovery.