Applied AI · Built in Berlin

AI systems that do real operational work.

Efigenix develops applied-AI products and tailored agent systems that handle enquiries, connect business processes and support teams in day-to-day operations.

For SMEs, service organisations and digital business models.

Two products. One applied-AI company.Technology built for day-to-day operations.
DinersAIRestaurant operations01Voice AgentAI phone operations02
Our products

Designed for day-to-day operations.

Our products turn recurring enquiries, decisions and handoffs into clear digital workflows.

Product 01 · Hospitality

DinersAI

An AI-supported operations platform for restaurants. Guests order, reserve and communicate in their language, without installing an app.

  • QR-based ordering and reservations
  • Multilingual menu and guest communication
  • Structured handoff to kitchen and operations
DinersAI · workflow view

Active orders

Table 042× Truffle burgerPreparing
Table 111× RisottoNew
Table 023× DrinksReady
PickupOrder #184Confirmed
Illustrative product view
Product 02 · Voice

Efigenix Voice Agent

A phone-based AI agent that answers structured questions, captures booking details, notifies teams and hands sensitive or uncertain cases to people.

  • Answers grounded in approved company knowledge
  • Step-by-step capture of booking requests
  • Notifications and contextual human handoff
Voice Agent workflow
AI Voice Agent · active callOnline

Answers from approved company knowledge and marks uncertainty for a controlled handoff.

Approach

A clear path into operation.

Not every process needs AI. We begin with the problem, define quality and only then build.

Our approach in detail
  1. Discover

    Understand the process, users, data and target state.

  2. Design

    Define workflow, boundaries, handoffs and success criteria.

  3. Build

    Implement the agent, tools and connections.

  4. Evaluate

    Test normal cases, edge cases and failure scenarios.

  5. Launch

    Roll out carefully, document and enable teams.

  6. Improve

    Observe quality and improve from real use.

System architecture

Value comes from connection.

An operational agent connects approved knowledge, dependable tools, explicit boundaries, human handoffs and measurable quality.

Consulting & implementation
Responsible AI

Trust is built into the system.

Transparency, privacy, limited permissions and traceable handoffs belong in the solution—not in a document added at the end.

Our principles

Transparency

People know when they interact with AI and when a person takes over.

Data minimisation

Use only the data and access a concrete workflow needs.

Evaluation

Assess quality with realistic cases, boundaries and explicit criteria.

Human control

Route uncertainty, sensitive requests and exceptions to people.

30 minutes · focused

Which process is worth tackling first?

In the strategy call, we examine one concrete workflow, the systems involved and the decisive risks. You leave with a clearer view of whether—and how—a next step makes sense.