SIMOSphere AI Lab · a testing ground of SIMO GmbH
We test what AI can do before we recommend it.
In the SIMOSphere AI Lab, we test whether technology solutions work under real-world conditions and whether companies can actually put them to use. We examine data, permissions, architecture, security, and operations, and we document the results along with their technical limits. What we learn feeds into SIMO GmbH’s independent consulting and supports sound decisions about using artificial intelligence.
moreless: introduction
45 minutes, free of charge. The form is on simo-online.com.
AI feasibility assessment
Five steps to a decision.
Before budget is committed, the Lab clarifies whether an AI approach works technically and can be used in your architecture.
Sharpen the question
In the initial call (45 minutes, free of charge), we agree on which decision the assessment should prepare.
Set up the test
We build the smallest experiment that answers the question, ideally on your infrastructure.
Measure
We measure against the actual data source, not against assumptions or documentation.
Assess
We put the result into context for data, processes, roles, and governance.
Hand over
You receive a technical basis for your decision. You then assess with SIMO GmbH’s consultants whether and how to implement it.
Every assessment ends with one of three results, each with its reasoning: viable, conditionally viable, or not viable.
Latest field reports
- In testing
Who may know what: need-to-know in code, not by discipline
How an AI function sees only the data that role and tenant allow, even when a developer forgets a check.
Assessment result: Pending
Related: Business Architecture, AI
- Built
AI clearance: content an AI may use only with permission
How to control which AI system may use which piece of company information, separately from who may read it.
Assessment result: Viable
Related: Data Architecture, Business Data Strategy
- In testing
Better too careful: classifying data before every AI call
How we decide, before calling a language model, whether an input is confidential and may leave the organization.
Assessment result: Pending
Related: AI, Data Architecture
Five fields, one question: what works?
Three lessons for decision-makers.
AI governance
Approvals belong in the structure, not in discipline: not approved by default, a check at every handover, and sensitive content detected before it reaches a model.
Data sources and registers
A data source only works once its limits are known: where the data really lives, what the catalog leaves out, and which raw data stays next to the processed data.
Identity and security
Every service needs its own verifiable identity: a shared source address or a secret in the process list is not security, even when nothing seems wrong.
Short answers.
- What is the SIMOSphere AI Lab?
The SIMOSphere AI Lab is SIMO GmbH’s testing ground for artificial intelligence, data architectures, and technology solutions. This is where we find out what it takes for new technologies to actually work, where their limits lie, and how their results fit into existing business structures. The findings support well-founded decisions in SIMO GmbH’s independent consulting.
moreless: What is the SIMOSphere AI Lab?
- Can I buy anything in the Lab?
No. The Lab sells nothing and does not publish prices. If your initiative calls for a feasibility assessment, you commission it through SIMO GmbH. If you want to implement an initiative, talk to SIMO GmbH’s consultants: in an initial call (45 minutes, free of charge, by video) or start with the Decision Readiness Check on simo-online.com. Engagements begin with the BISA baseline assessment or the BEIA enterprise assessment.
moreless: Can I buy anything in the Lab?
- Where do the field reports come from?
From SIMO GmbH’s own projects and assessments. Client names, people, host names, and prices have been removed. Designs that are not yet in production carry the assessment status “In testing.”
moreless: Where do the field reports come from?
Consulting by SIMO GmbH
From the Lab to consulting.
SIMO does not judge options on vendor claims alone. Assumptions that can be tested technically are examined in the SIMOSphere AI Lab. SIMO GmbH works with your executive team to assess whether an approach that proves viable in the Lab makes sense for your company, and supports the implementation: independent of vendors, with a fixed scope and a decision after every phase.
Decision Readiness Check: 12 questions, about 3 minutes, instant result. Initial call: 45 minutes, free of charge, by video. Engagements begin with the BISA baseline assessment or the BEIA enterprise assessment. All on simo-online.com.