Your intelligence.

Company-specific models · deployment choice

Your expertise. In models you can host.

Why local matters: keep authorised workloads within your chosen infrastructure, encode your terminology and working methods, and decide when models change. Tested open-weight models can reduce dependence on a single provider. Quality, latency and total cost are measured before choosing the deployment.

A deployment can include locally hosted open-weight models such as Qwen, adapted to your terminology and recurring tasks. We can fine-tune model weights or specialist adapters using approved, reviewed examples from your organisation.

Connected sources supply current facts. Training adapts task behaviour. We compare prompting, retrieval and fine-tuning on held-out work before choosing the model, hardware and deployment. On-premises, private European hosting and approved frontier services are options to assess together.

Discuss your deployment requirements

This is our custom-delivery proposition. Scope, permissions, model licences and performance are established per engagement. The public demonstrations do not run an employee agent network or a company-trained model.

Decide who controls your intelligence

Your intelligence.
Your terms.

Your intelligence should remain governable as models, providers and regulation change. We define where data is processed, who can access it, what agents may do and how you can move the system forward. Sovereignty becomes a set of design choices you can inspect.

01

Control the environment.

Choose storage and processing locations, infrastructure operators and encryption-key responsibilities. Assess provider ownership, support access and legal jurisdiction for European, on-premises or defined hybrid deployments.

02

Bound the authority.

Scope what people, models and tools may see and do. Separate read access from action authority. Agree provider processing, retention and training terms, protect operational logs and require the approvals each workflow needs.

03

Preserve your options.

Define export formats, documentation, model dependencies and the conditions for changing providers. Agree ownership, operating responsibilities and an exit plan as part of delivery.

Why begin now

The advantage compounds with every decision.

Every reconciled source, validated dependency and recorded outcome can shorten the next investigation. Begin with one decision that matters. Build a foundation that becomes more valuable as the questions become harder.

Europe’s Data Act already applies, with provisions on data access and cloud switching. Control and portability belong in today’s architecture decisions. Read the European Commission’s overview

Solon / Private AI

Keep control of what leaves.

We design a private gateway around your document workflows. Original files and identity lookups stay in the agreed private environment. Your rules determine which model may receive which information.

Extraction, search, calculation and AI processing stay within the institution’s approved environment, including its authorised sovereign models. No document content is sent to an external AI provider.

01 / Private source

Read and compare locally.

Supplier A: contract DOC_01 authorises €5,000; invoice DOC_02 requests €5,400. Local calculation identifies a €400 difference.

02 / Internal model context

Use the approved private model.

Supplier A / DOC_02 exceeds DOC_01 by €400. No approved amendment was found in the supplied records. Prepare a request for supporting evidence.

Context remains subject to the employee’s access rights.
03 / Employee review

Restore context under permission.

The private workspace assembles the draft with the authorised recipient, €400 difference and source links. An employee checks the evidence before any action.

Masking names does not guarantee confidentiality. We test indirect identification, business secrets, hidden content, logs and attempts to bypass the rules. Access and retention also apply to the disclosure record.

Illustration with synthetic records. No files are uploaded and no AI model is called. The gateway is a proposed capability to develop and validate for each engagement.

Begin with the question

What could your data make possible?

Start with a scenario and the systems involved. An initial conversation does not require confidential data.

Request a demonstration