AI platform for development

Develop and scale AI agents without separate tools, API keys or licences per team. Through one central platform, development teams gain access to the right models: locally, via the Info Support cloud or through external providers such as OpenAI and Anthropic.

This keeps teams flexible in what they build, while giving you central control over model usage, costs, security, compliance and dependencies.

The challenge

Teams are increasingly building AI agents using different tools, frameworks and models. In many cases, they arrange access to model providers, licences and API integrations themselves. What starts as innovation can quickly grow into a fragmented landscape that is difficult to manage.

At the same time, the risks increase:

Fragmented usage

Which models are being used, by which teams and for which applications?

Lack of control

How do you ensure that model usage complies with security requirements, internal policies and compliance standards?

Unpredictable costs, dependency and continuity

Do you have insight into usage per team, application or model provider? What happens if a model changes, an API is updated or a vendor no longer meets your requirements?

Without central governance, a proliferation of separate licences, integrations and dependencies emerges. This makes agentic AI more expensive, riskier and harder to scale.

Central access to models and services

The platform provides a central layer for model access, cost control and governance. Development teams remain free to build AI agents using their own tools and frameworks, while accessing models and services through a single managed environment.

1

Multi-model strategy

Combine commercial and open-source models and select the right model for each use case. Use local models, models in the Info Support cloud or external providers such as OpenAI and Anthropic, without being locked in to a single vendor.

2

One managed access point

Avoid separate API keys, contracts and licences per team. All model access runs through the platform, with central control over usage, permissions and conditions.

3

Monitoring and cost control

Gain insight into usage, performance and costs per model, team and application. Actively steer efficient model usage and avoid unnecessary use of heavy or expensive models.

4

Continuity and fallback

Reduce dependency on a single model or vendor. The platform makes it possible to provide alternatives and switch in a controlled way when models, APIs or conditions change.

Result for your organisation

With this platform, teams develop AI agents faster and more consistently, without model usage, costs and governance becoming fragmented. You retain central insight and control over which models are used, by whom and at what cost, while development teams remain flexible in how they work. This prevents unnecessary complexity and dependencies, and helps you build a scalable and manageable AI landscape.

Gain control over your AI development landscape

  • In a short session, we map out how development teams currently use AI models and agent tools. You gain insight into fragmentation, risks, costs and dependencies, plus concrete next steps towards central governance of agentic AI.

Successful partnerships

Why choose Info Support?

100% Dutch

No foreign ownership or influence. Fully governed by Dutch law.

Expertise

Technical excellence combined with deep domain knowledge.

Guaranteed results

Results-driven. When we make a commitment, we keep it.

Financial strength

A profitable family-owned business since 1986. Your stable, long-term partner.

Get in touch

Do you have questions about your specific situation, or would you like to discuss your options with one of our experts? Fill in the form and we will contact you soon for a no-obligation consultation.

Frank Thiele

Unit Manager Energy & Industry
+31620674338