We design, secure and run AI agents on your own infrastructure - on-prem or cloud. Open-source first, full control, no vendor lock-in.
Trusted by industry leaders
Open-source first. We design, secure and run AI and infrastructure - on-prem or in the cloud. Your data stays with you.
We build AI agents and run them wherever you want - including your own infrastructure and self-hosted models.
We secure what we build - and what you already run. Security built in from day one.
We design and build your own compute for AI and applications - from plan to running server.
Cloud when it makes sense - done right. We also support hybrid on-prem ↔ cloud models.
Three models. You choose how much you want to deal with - fully managed gives you the most peace of mind.
On Pimento infrastructure
We run it, maintain it and watch everything - uptime, security and updates. You just use it; we take care of the rest.
On your side: Nothing. Zero maintenance.
Best when: You want it to just work - without dealing with the tech.
AWS / Azure / GCP
We design and configure the system in your cloud. Everything stays with you.
On your side: Cloud account, ongoing costs and basic upkeep.
Best when: You already have a cloud and a team to run it.
Hardware we spec for you
We spec the hardware for your needs, you buy it, and we configure and deploy the system on it.
On your side: Hardware purchase and its maintenance.
Best when: You want to own the infrastructure.
Open-source first and full control on your side. We build solutions that stay yours - no dependency on API vendors.
We build on open models hosted on your infrastructure. Your data doesn't have to leave the building.
Your own compute and open-source models instead of unpredictable API fees as you scale.
Open models and standards. The solution stays yours - extend it or move it anytime.
The agent improves on your data, and we design the whole thing for AI Act and GDPR compliance.
Common needs we hear in conversations about private AI, security and infrastructure.
CTO
Data control
“We want to use AI without sending company data to external APIs. We need a solution that is secure, maintainable and under our control.”
COO
Process automation
“We have repetitive processes that drain the team's time. We need automation that works on our terms, not just something that looks good in a demo.”
Security Lead
AI security
“AI only makes sense if we know where the data lives, who can access it and how we reduce risks like data leakage or prompt injection.”
Founder
AI strategy
“We do not need another buzzword. We need to know which AI use cases will actually improve cost, speed or quality of work.”
Head of Product
AI agent
“The real value is an agent that understands our processes, works with company knowledge and helps the team make decisions faster.”
IT Manager
On-prem infrastructure
“We want our own compute for AI, predictable costs and an architecture we can grow without depending on one vendor.”
Example deployment scenarios showing how we build secure, sovereign AI. Real case studies coming soon.
An assistant over company knowledge built on an open model (Llama/Gemma) hosted on-prem - documents never leave the company.
0
data sent outside
We run every project in four structured steps. Each stage has a clear goal and a concrete result.
We map needs, data, systems and risks. We pick the highest-ROI use cases.
We design the solution and infrastructure with security and compliance built in from the start.
We build agents and infrastructure, integrate, test and harden - all the way to production.
We monitor, scale, optimize cost and extend. We report progress against KPIs.
Answers to the most common questions about data privacy, on-prem vs cloud, compliance and how we work.
No - with an on-premise deployment your data never leaves your infrastructure. We build AI agents on open models (Llama, Mistral, Qwen, Gemma) running on your servers, with no data sent to external APIs.
On-premise gives you maximum privacy and full control over your data, cloud gives you a faster start and flexibility; in practice a hybrid is often best. We give a concrete recommendation after an audit of your needs and compliance requirements.
Yes - we design every deployment for the EU AI Act and GDPR: system risk classification, technical documentation and human oversight. We're not a certification body - we build systems to meet those requirements.
By default, no - we work open-source first, with models like Llama, Mistral, Qwen and Gemma. We bring in commercial APIs (OpenAI, Anthropic) only when a project deliberately needs them and the client's data policy allows it.
Yes - the agent improves on your data and feedback: evals, fine-tuning and knowledge updates all happen locally, on your infrastructure.
Pricing depends on project scope. We start with a free consultation, followed by an audit, a proof of concept and implementation - you pay for concrete, well-defined stages.
Need more information?
Book a free consultation - we'll answer all questions about your project.
Need more information?
Book a free consultation - we'll answer all questions about your project.
Book a consultation
Free of charge
A free strategy call with an architect. We'll help you choose an approach and point the next step. The rest? We define it in the audit.
