Atomic AI

Adopt AI in your own environment and validate one impactful use case in under 2 months, with zero data leaving your premises.

Why companies still hesitate
with AI adoption

50-200k

CHF typical entry cost

High Entry Costs

Current AI solutions require 50–200k CHF upfront — a massive barrier for mid-sized companies.

78%

want proof before investing

Not Validated ROI

Without seeing results first, committing to a large AI initiative feels like a gamble.

67%

cite data concerns

Data Security Concerns

Companies don't know what happens to their data in the cloud. Regulations and compliance add complexity.

4 in 5

manufacturers are cloud-averse

Non-Cloud Strategy

Privacy, security, cost, or simply tradition — many industries avoid the cloud entirely.

One use case. One system.
In your infrastructure.

Atomic AI uses your unstructured data to build a targeted proof of concept, allowing you to validate AI on a real operational use case with minimal risk.

THE ATOM

Your First AI Use Case

Prove AI works on your data — before committing to anything bigger.

One impactful use case

Your data, on-premise

Validated in
2 months

Start small. Validate fast.
Scale when you're ready.

Define the use case

✓ Use case selected

Deploy on-premise

✓ You're all set

Build & validate

✓ Proof of concept delivered

Next steps

✓ Ready to scale

Your first use case is validated.
You decide how it's going to spread.

If the results speak for themselves, here is where the reaction can take you.

SAME USE CASE, MORE POWER

Go Deeper

Evolve your validated use case from basic knowledge queries to advanced reasoning, multi-step workflows, and autonomous decision-making.

AI Assistant

Semi-Autonomous Agent

Automation Workflow

NEW USE CASES & DEPARTMENTS

Go Broader

Take what you've proven and expand across teams, business units, and entirely new use cases. Each new use case compounds the value.

Sales intelligence

Supply chain optimization

Customer support

FULL DATA & AI STRATEGY

Go Beyond

Step back and see the full picture. Our Data & AI Strategy assessment maps your entire organization's AI potential and builds a roadmap.

Organization-wide AI roadmap

Data maturity assessment

Strategic planning

Every direction is optional. Scale at your own pace, on your terms.

FAQ

Frequently asked
questions

What counts as a use case?

Any business process where AI works on your real data, like automating contract review, searching across thousands of technical documents, or triaging support tickets. We focus on use cases that redesign how work gets done.

How do you identify the right use case?

Through a structured questionnaire and an initial discovery call. We map your processes, data sources, and pain points — then deliver a recommendation with one clearly scoped use case prioritized by impact and feasibility.

How much involvement is required from our team?

We need you to provide the data, help set up the box in your network, and then validate the results. Beyond that, we need a project sponsor and a subject-matter expert available for a couple of hours per week.

What happens after the proof of concept?

After validation, you can go deeper into the same use case, expand to other departments, or return the hardware. There’s no lock-in — you decide what comes next.

What kind of data do you need from us?

That depends on the use case. Typical data sources include PDFs, support tickets, technical documentation, contracts, and other unstructured or easily accessible data. We work with what you already have — no special preparation required.

How do you handle data privacy and compliance?

Everything runs on-premise within your infrastructure. No data leaves your building, ever. We follow GDPR, ISO 27001, and industry-specific standards. Your data, your network, your rules.

What kind of AI models do you use?

We use the latest state-of-the-art large language models, deployed locally on your hardware. We continuously evaluate and adopt the best-performing open-source models available — ensuring you always run cutting-edge technology, with zero dependency on external APIs or cloud services.

What happens if the hardware isn't powerful enough to scale?

You can add additional hardware units and cluster them together for more compute power. We help you design the right setup for your scale — whether that’s one appliance or a multi-node cluster.

Upcoming Webinar

The Atomic AI Approach

Days

Hours

Min

Sec

What you'll learn ▾

01

From AI interest to the right first use case

Identify a use case that's relevant, feasible, and worth validating first.
02

Augmentation vs. transformation

AI that supports existing work (copilots) vs. AI that redesigns processes (RAG, agentic workflows).
03

Validate AI on your data and terms

How Atomic AI adapts to your infrastructure, governance, and data reality.
04

Atomic AI in practice

End-to-end: use-case definition, sample data, PoC, testing, and next steps.
05

What a successful first use case unlocks

Reduce uncertainty, clarify priorities, and build a foundation for broader rollout.
06

Getting started + Q&A

What needs to be in place to begin, and open Q&A for your context.

START THE REACTION

Ready to plant
your first atom?

Book a 30-minute call to explore your first AI use case.

Book a Call