Spend more Time with your Clients

Don't let knowledge be scattered around. Capture your data safely, build faster products, and better customer responses - with AI-native agents that help your team work smarter.

80%
Time saved

More capacity for client conversations and strategic work.

100'000
Automations executed

Structured workflows that quietly handle repetitive tasks.

900
Happy users

Teams enabled with faster answers and smoother execution.

The right model for every task.

Use leading GPT and open-weight models through one unified dreamleap API layer—with controlled data regions, transparent model selection and optional local deployment.

GPT-4.1

A proven model for secure enterprise agents and production workflows.

Best for
Document workflows, coding, internal assistants and reliable tool use
Capabilities
Text & vision, function calling, structured outputs and long context
Deployment
Microsoft Azure · Switzerland
Technical overview

GPT-4.1 is a strong choice when Swiss data residency, stable behaviour and dependable integration into business processes are central requirements.

GPT-5.1

For advanced reasoning, orchestration and high-value European workloads.

Best for
Complex agents, research workflows, decision support and multi-step automation
Capabilities
Advanced reasoning, tool use, structured workflows and agent orchestration
Deployment
Microsoft Azure · European Union
Technical overview

GPT-5.1 is positioned for demanding EU-based applications that require stronger reasoning while keeping deployment within a European Azure region.

GPT-5.4

A global model option for the most demanding agent and automation scenarios.

Best for
Frontier reasoning, complex software tasks, orchestration and global applications
Capabilities
Advanced reasoning, broad tool use, structured execution and complex task handling
Deployment
Microsoft Azure · Global deployment
Technical overview

GPT-5.4 is intended for use cases where maximum model capability is prioritised and a global deployment model is acceptable.

Qwen

Flexible open-weight models for multilingual and agentic applications.

Best for
Multilingual assistants, tool calling, coding and private knowledge systems
Capabilities
Reasoning modes, strong tool integration and a range of model sizes
Deployment
Private cloud or local deployment on a suitable dreamleap AI Computer
Technical overview

Qwen is available in multiple sizes and scales from efficient local assistants to capable agent models with tool access.

Mistral

Efficient European open-weight models for controlled, scalable inference.

Best for
Internal chatbots, classification, summarisation, coding and high-volume workloads
Capabilities
Strong instruction following, multilingual tasks, tool use and model-specific MoE options
Deployment
Private cloud or local deployment on optimised GPU infrastructure
Technical overview

Mistral is the broader model family, while Mixtral refers to its sparse Mixture-of-Experts variants. dreamleap selects the appropriate model based on quality, throughput and infrastructure requirements.

Kimi

Agent-focused models for complex research, coding and tool-based tasks.

Best for
Deep search, multi-step agents, software tasks and long working contexts
Capabilities
Tool use, agentic reasoning, coding and large context windows
Deployment
Private or local deployment—depending on the model variant and hardware profile
Technical overview

Kimi is well suited to agentic workflows and tool use. Larger variants require appropriately sized GPU resources; dreamleap aligns the model, quantisation and infrastructure with the use case.

One API layer. Multiple models.

dreamleap connects models through REST APIs, MCP and agent orchestrators. The right model can be selected by data privacy, region, quality, latency or cost—and changed for each workflow.

Region & data residency Quality & task Latency & throughput Cost & scale
API Platform Model consultation

Specific model and regional availability depends on the model version, provider, licence and selected deployment.

I’m just as delighted as the other colleagues. I bombarded the chatbot with basic questions about ACME, for example: why would I choose ACME, what’s the difference with Matter, what is XYZ, where can I buy it, etc. All answers were to the point, clear, and correct. I think this chatbot could be put to very good use also at ACME international!
Customer testimonial from an international IoT provider (Chatbot Agent)