AI engineering consultancy

AI that works today.Ready for quantum tomorrow.

ProQu is a small engineering team. We build AI agents, skills and solutions, and the data platforms they run on, for companies that want results in production, not experiments.

Talk to us See what we do

Agent · Operations inboxRunning

Goal

Answer the requests that arrive in the shared inbox

Read the new request in the shared inboxMailbox
Looked up the customer accountAccount system
Drafted the reply with the company procedureSkill
Waiting for approval: the reply promises a datePerson
Send the reply and log the runMailbox

Illustration: an agent works through a task and waits for a person where it matters.

What we do

Five ways we work with you

From one agent for one task to our engineers inside your team, and the data and infrastructure underneath. Pick the one that fits, or ask us which does.

AI Agents

Agents that use your tools and data to complete real tasks, with a person in control where it matters.

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Skills

Reusable capabilities that teach an agent how your company works: procedures, rules, tools and formats.

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AI Solutions

Complete systems, from data to deployment, when the problem is larger than one agent.

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Forward AI Engineering

Our engineers join your team, work in your codebase and build AI capability where it is needed.

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Data Engineering & Operations

Data pipelines and infrastructure as code: reliable data in, and a platform your team can deploy to and operate.

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How we operate

Small steps, real results

Every engagement follows the same four steps. You see something working early, and you decide at each step whether to continue.

011–2 weeks
Discover
We learn your process, your data and your goal. We tell you honestly whether AI is the right tool.
022–4 weeks
Prototype
We build a small working version on your real data.
034–12 weeks
Build
We turn the prototype into a production system inside your environment.
04Ongoing
Run and improve
We monitor, measure and extend the system, or hand it over to your team.

See how we work in detail

Why ProQu

A team that builds, not a team that presents

Small and senior: The people you talk to are the people who build. There is no hand-over to a junior team.
Production, not slides: We deliver working systems with tests, evaluations and monitoring.
Inside your team: We work in your stack and your environment, close to the people who use the result.
Looking ahead: We build for today and help clients prepare for what quantum computing will change.

Use cases

What this looks like in practice

One example for each of the five ways we work: the problem, what we build and what you get.

AI Agents

B2B services company, United States

Example

An agent for the operations inbox

A services company loses hours to a shared inbox. We put an agent in its environment that reads the mail, looks up the account and drafts the reply. A person still approves anything that commits the company.

Read the use case

Skills

Professional services firm, EU

Example

A skill library the company owns

The team already has an AI assistant, but it does not know their templates, their price rules or the steps a proposal has to follow. We package that know-how into versioned skills the company owns.

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AI Solutions

Industrial company, EU

Example

Search over company knowledge

Manuals, contracts and policies are spread across drives and an old intranet. We build a system in the client’s cloud that answers from the current document, cites the page and respects the access rights people already have.

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Forward AI Engineering

Software product company, United States

Example

Engineers inside the product team

A product team wants AI inside the product and does not yet have the practice around it. Our engineers join their repository and their planning, ship the first feature with them and leave everything in their codebase.

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Data Engineering & Operations

Logistics company, EU

Example

A data platform defined in code

Reports are built from manual exports, and the cloud was set up by hand. We put the infrastructure into Terraform and Ansible, build tested pipelines on top of it and hand over a platform the client’s team can run.

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AI now, quantum next

We deliver AI today and prepare you for what comes after

The AI work is what runs in production. Quantum is a direction: we help clients see where it could matter, which encryption has to change and how the ideas work on simulators and on cloud hardware.

Our view on quantum

Insights