pimento / about

We build AI that runs on your premises.
From GPU to agent.

Pimento builds the whole path: we choose and set up GPU servers, serve and fine-tune models, and build knowledge bases and agents that work on your data. One company is responsible for every layer.

Who's behind it

From a soldering iron to AI agents.

What stayed from electronics is the approach: first understand how something works inside, then build it and measure it. That's why this site shows the mechanics, not slogans.

Tomek Kupidura, founder of Pimento

Tomek Kupidura

Founder of Pimento

He has a background in electronics. He built drones, 3D printers and smart home systems, and has been building AI systems for years. Today he designs agents, sets up GPU servers and trains the models we hand over to clients himself.

Electronicscircuits, soldering iron
Dronescontrol, sensors
3D printingprinters from scratch
Smart homehome automation
GPU serversour own infrastructure
AI agentstoday
Michał Kosiorek

Michał Kosiorek

Cybersecurity and cloud (AWS)

He started out managing on-site server infrastructure and now works on cybersecurity and the AWS cloud. He has reported vulnerabilities (CVEs) in the Linux kernel, Apple products and Keycloak.

On-site serverslocal infrastructure
AWS cloudcloud infrastructure
Project managementrunning projects
Reported CVEsLinux kernel, Apple, Keycloak
Cybersecuritytoday
Principles

Three things we stick to.

We don't promise that AI will do everything. We show what it will do for you, on your own examples, and we say where the limits are.

01

Data stays with the client

Models, vectors, logs and backups run in your network or on our hardware under a contract. Outbound traffic is closed by default.

02

Honest numbers

We only quote numbers from our own logs and training runs, and we call estimates estimates. When an animation illustrates the mechanics, we say so plainly.

03

Prototype before promise

Before we sign a large project, we build a working prototype on your examples. You see the result before you pay for the whole thing.

In numbers

Only what we can show.

Numbers from our servers and training runs. No rounding up.

~30bntokens on our GPUs in 2026 (estimate)
6:39minto train a domain classifier on a single GPU
~240msto classify a query, locally
5pillars: agents, knowledge, infrastructure, models, R&D
Trusted by

Companies we have worked with.

  • Bites.Studio
  • Crunch
  • Director'y
  • Flaming & Co.
  • Maize
  • mt5
  • Stary Dom
  • The Engineers
  • Viskase

See how we work, on your own example.

Bring a few documents or a description of your process. We'll show you a prototype before we promise anything.