We develop AI assistants and applications that help customers, make company information searchable, and carry out tasks in your software. We tailor capabilities, interfaces, and integrations to the people who will use them.
Answering enquiries, finding information, preparing documents, and carrying out tasks in your software. These are some of the possibilities: we can start with a single task, check the results, and decide together how to extend the project.
They help people choose products, answer service questions, and gather enquiries. When a person is needed, they pass the conversation and the information already collected to your team.
I need a maintenance plan for two locations.
I can help gather the details. What equipment do you have, and which cities are the locations in?
A space where your team can consult documents, compare information, and prepare work materials. Answers refer to company sources, with access defined for each role.
How do I request a business trip?
Send dates, destination, and purpose to your manager. Once approved, you can proceed with the booking. [1]
From the procedure: “Book after receiving your manager’s approval.”
Conversation summaries, document drafts, and task updates, directly in the tools you use. We develop AI features in existing systems or within a new application.
The customer wants to extend the service to a second location. The new requirements need to be checked before quoting.
They read requests and documents, extract the information needed, and carry out defined steps in business software. We design the complete workflow, including exceptions and tasks requiring your team’s attention.
We design how agents, data, and software work together. The result can be an assistant dedicated to a single task or a system coordinating several business functions.
We identify the documents, records, and data needed, how to make them searchable, and how to keep them up to date.
We define what each agent can do, which tools it can use, and when it must ask for approval.
We design the interface around the people using it: a chat, a CRM feature, or a dedicated platform.
We check integrations against the software involved. We use APIs and, where supported, MCP to give agents access to the functions they need.
We take care of both how the system works and the experience of the people using it. From the first decisions through to launch, we bring business needs, interfaces, and technology together.
We talk to the people doing the tasks to understand what takes time, where information gets lost, and what would help. This shapes the project and how we assess its results.
We develop interfaces, logic, and integrations. We share the work during development so your team can try it and contribute to the decisions.
We test the system on representative cases, including incomplete requests and exceptions. Before launch, we check answers, actions, and handoffs to people.
We agree on training, support, and maintenance. How the system is used helps us understand what to improve and which other tasks to address.
Autonomy is designed around the tasks. An agent can consult information, prepare a proposal, or carry out an operation: together, we define where it can proceed and where a person is needed.
We can start a research project with your company using NVIDIA DGX Spark, a compact computer designed to develop and run AI models. We begin with a concrete task and the available data to explore which models to use, how to adapt them, and which applications to build for your team.
Process documents and information on your company’s machine, defining which tasks can use external services and which data can leave the device.
Consult company sources and, where useful, assess targeted training on selected examples. These are two different ways to adapt the system to your tasks.
Run some tasks locally. We assess potential savings against usage, hardware, energy, and maintenance, as well as external services.
We develop and test the system with your team. We check feasibility, answer quality, costs, and performance with a prototype before deployment.
This is a dedicated research project. Other Agents projects can be built without local hardware or model training.
You do not need a fully defined project. In our first meeting, we discuss the tasks you want to improve, the tools you use, and the people involved to understand where to start.
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